Page 4 – OpenText Blogs

Top 5 reasons you can’t miss OpenText World 2025
AI is becoming a must-have in the business world, and information management is emerging as a smart way to get your data ready for it. Now’s the time to dive in and experience these technologies to gain a deeper understanding and build expertise.

How? at OpenText World 2025 November 17-20 in Nashville.

Whether you are a business or IT leader or a software user, this year’s conference promises to deliver useful information, visionary perspectives, and everything in between. Not to mention the festive Nashville back drop with good food, great music, and live entertainment!

OpenText World 2025: Elevate together

Join us in Nashville November 17-20 for 3 days of AI innovation, bold ideas, visionary speakers, and great music, of course. C’mon, let’s go!

Register now

Here are five of the many reasons to join us:

No. 1 Set your AI agenda

From new product announcements to live demos and use-case examples, OpenText World 2025 is the place for leaders to learn all about AI innovation. Get a glimpse into the future of AI from visionary speakers and product roadmaps. And hear from OpenText customers about their experiences and success with AI.

Users can select from more than one hundred in-depth sessions and hands-on opportunities to learn what’s new and what’s next with AI. Experience the new OpenText™ Aviator™ AI Studio, a tool that brings together automation and imagination. Hear first-hand about our new CE 25.4 suite of business applications with integrated OpenText Aviator AI agents. And check out how MyAvia t or can kick your productivity into high gear.

No. 2 Validate skills

Encourage your IT and security teams to take advantage of certification opportunities in dozens of OpenText products spanning content management, analytics, cybersecurity, experience, business network, service management, and DevOps. Attendees receive one free certification attempt with their in-person conference pass.

Users get more than validated skills from certification. According to Pearson Education, Inc.’s Value of IT Certification Candidate Report professionals who get certified:
- report increased confidence (92%)
- say they experience an increase in job satisfaction (78%)
- have recieved a salary increase (37%)
The certification exam room will be open for the duration of the conference so you can take your one free attempt at your convenience. For a list of available exams and details, such as skills tested, prerequisites, exam duration, and question formats, take a look at our catalog here.

No. 3 Get new perspectives

Find out how your peers are using OpenText to move from content in context to AI in context. Hear real-world stories about the benefits of a trusted and secure AI platform for information management. Talk to industry experts to understand how OpenText solutions can help you get ahead in your vertical.

Test-drive digital knowledge agents built to solve your challenges by unlocking the power of data. Take advantage of the hands-on labs to experience new features of your favorite products or try out different ones.

No. 4 Make connections

Leaders will have plenty of opportunities to network with other attendees—on the expo floor, in between keynotes, and at exclusive evening events. Meet with customer and solution experts from OpenText to get your questions answered. Learn about product use cases, best practices, and tips and tricks. Express your interest in joining one of our Customer Advisory Boards, which will meet on site at OpenText World 2025. Becoming a member gives you the opportunity to offer insights on industry trends, emerging business needs, and market opportunities to inform future product development, strategic planning, and partnership initiatives. Members also provide feedback on existing products, suggest new features, and participate in early product testing.

No. 5 Return to work inspired

Your experiences at OpenText World 2025 will provide the motivation you need to boldly lead your organization’s AI strategy. To build AI responsibly for a limitless digital workforce. To architect systems that scale with confidence with a single layer of information. And to elevate your organization. Useful insights, certification, hands-on experience, and a deeper understanding of OpenText products will position users to become AI experts.

Register today for OpenText World 2025!
OpenText

September 5, 2025

News & Events, OpenText World

AI, conference, Information Management, Nashville, OpenText World 2025
Quantum threats, Agentic AI, and the next frontier of data security
Quantum computing may not be mainstream yet, but the clock is ticking — and attackers know it. The “Harvest Now, Decrypt Later” (HNDL) threat means adversaries are stealing encrypted data today, banking on quantum computers to crack it tomorrow. Meanwhile, AI – especially Agentic AI – is evolving faster than most organizations can govern it.

To explore how enterprises can defend against both fronts, I sat down with three of my OpenText Enterprise Cybersecurity peers:
- Tim Sedlack – Product Management Lead, Data Security
- Tim Bramble – Product Management Lead, Threat Detection & Response
- Phil Sewell – Veteran Subject Matter Expert in Data Protection & Secure Analytics
Q & A Panel on Quantum Computing and Agentic AI

Tim Sedlack (Data Security)

Greg: Everyone’s talking about quantum breaking encryption. What’s the advantage of symmetric encryption and tokenization in that fight?

Tim S: That’s a great question! Think of it like being dealt two aces — symmetric encryption and tokenization. Together, they give you a winning hand against quantum threats.

Symmetric encryption doesn’t rely on prime number factorization, unlike asymmetric encryption, and that’s the danger. Quantum computers can do the math, and fast! Symmetric encryption avoids this weakness entirely, since there’s no public key to download and attack. NIST and the US DoD recognize symmetric encryption as the only acceptable quantum-resistant encryption technique in the Commercial National Security Suite. If you’re using symmetric encryption of at least 256-bit strength, you’re safe today and in the immediate future.

Tokenization is the second ace. It replaces sensitive data with tokens from a randomly generated lookup table. Without that table, the original data cannot be reconstructed –no matter how much computing power is available, even with quantum. That makes it computationally infeasible to reverse-engineer the data, protecting it far beyond the reach of brute force.

*Guardrail in Action: Deploy 256-bit symmetric encryption and tokenization today to render stolen data useless against both current and future threats.

Greg: And what about harvest now, decrypt later attacks? Can persistent encryption and tokenization protect against that?

Tim S: Yes – persistent encryption and tokenization are built for long-term defense. The HNDL threat is real: attackers are exfiltrating data now, betting they can decrypt it later with quantum computers. This is why enterprises must ensure their protections are quantum-safe today.

Format-preserving encryption and tokenization solutions are now available. This ensures that even if bad actors steal data, it will remain protected well into the quantum era.

*Guardrail in action*: Don’t wait for quantum – protect data now with persistent encryption and tokenization that will hold up tomorrow.

Tim Bramble (Threat Detection & Response)

Greg: While quantum is a future threat, AI-driven attacks are here now. How do you keep pace with adversaries using Agentic AI?

Tim B: AI-driven attacks are already reshaping the threat landscape. Agentic AI lets adversaries move faster, scale operations, and launch sophisticated campaigns with far less expertise than ever before. The volume and speed of these attacks far outpace manual defenses.

That’s why a human + machine partnership is critical. Defenders must lean on AI to detect and respond to evolving behaviors, just as adversaries use it to attack. In this environment, behavior constantly shifts – meaning detection and remediation tools must be AI-driven by design.

*Guardrail in Action: Develop a human-AI defence model that matches the scale, speed, and adaptability of Agentic AI-driven threats.

Greg : How do AI governance and identity governance fit into that?

Tim B: AI governance and identity governance are two sides of the same coin. Identity governance defines the who, while AI governance defines the how. Identity governance

ensures that only the right people, processes, or AI agents can access sensitive systems, while AI governance sets the boundaries for what those agents are allowed to do.

This combination is critical because AI agents are not only valuable tools for defenders but also potential targets – and even weapons – for attackers. They expand the attack surface in ways that organizations must carefully manage.

Many advanced threats today hinge on identity-related attacks, such as insiders misusing valid credentials. Defending against these requires strong identity controls and the ability to detect and respond to attempts at misuse. That’s the role of Identity Threat Detection and Response (ITDR). When paired with effective AI governance, ITDR helps ensure both human and machine identities remain trustworthy — and that their use by AI systems, whether internal or adversarial, stays within intended boundaries.

*Guardrail in Action: Pair AI governance + ITDR to protect both human and machine identities in an AI-driven world.

Phil Sewell (Data Protection & Analytics)

Greg: You’ve helped customers protect and analyze sensitive data for over 15 years. How is this AI + quantum era changing the conversation?

Phil: The stakes have never been higher. Quantum computing is forcing executives to rethink encryption, while AI is driving massive demand for data. Together, they’ve pushed cybersecurity from a back-office concern to a board-level priority.

Organizations must take stock of today’s cryptography and build quantum-resistant data security strategies. At the same time, AI requires huge datasets for training – but those often contain sensitive or personally identifiable information (PII). Making such data widely available without strong safeguards magnifies risk.

*Guardrail in Action: Invest in quantum-safe encryption + privacy-preserving data controls to fuel AI innovation without exposing sensitive information.

Greg: And differentiation – where does OpenText stand apart?

Phil: We enable safe data use without sacrificing business value. For over a decade, we’ve helped organizations protect data for analytics by using advanced de-identification

techniques. These methods let sensitive data be ingested into AI/LLM models while preserving – or even enhancing — its business utility.

Our platform stands out for its flexibility: customers can apply the right protection pattern based on the sensitivity and risk profile of their data. Combined with quantum-safe readiness, identity protection, and AI governance, OpenText provides a holistic framework for securing the data-driven enterprise.

*Guardrail in Action: Choose flexible data protection patterns that let you power AI while preserving trust and compliance.

Final thoughts

From the quantum-safe resilience of symmetric encryption and tokenization to the governance guardrails that keep AI in check, OpenText is building a security framework designed for both today’s threats and tomorrows.

Because the real challenge isn’t choosing between defending against Agentic AI now or quantum later – it’s winning on both fronts.

Interested in learning more about countering today’s AI-enabled threats while preparing for the disruptive impact of quantum computing? OpenText recently partnered CIO magazine to poll a range of data security experts on the challenges and opportunities presented by quantum computing. Read The dual threat of AI and quantum computing: IT leaders brace for the next data security era to read their responses and advice.

Explore how OpenText helps you protect sensitive data across AI and quantum use cases.
Greg Clark

September 3, 2025

Line of Business, Security

Agentic AI Security, Data Protection and Analytics, data security, identity and access management, quantum computing, threat detection and response
Coles extends a warm welcome to new team members

At Coles, we aim to help Australians eat and live better every day. To help ensure we can continue to serve communities right across Australia, we take on thousands of team members every year.

However, the manual process we relied on to generate contracts for new hires was a significant pain point. The work was manual and paper-based, which led to long lead times and created challenges for our team as they worked to ensure we complied with all regulations.

Unlocking new efficiencies in our human resources processes represented a big opportunity, so we embarked on a digital transformation.

Signed, sealed, and delivered

We quickly honed in on OpenText Content Management for SAP SuccessFactors as the ideal solution to automatically generate and manage employment contracts. The key criteria in our selection process was seamless integration with our existing SAP SuccessFactors suite and the ability to digitize and automate contracts.

When a candidate accepts a job offer and their working rights are validated, this automatically triggers the contract generation process in the OpenText solution. The solution customizes and populates the appropriate employment contract template and sends it for eSignature. Once the contract is signed, the completed document is automatically stored in a secure folder in OpenText Content Management.

With OpenText, we get a dedicated relationship manager who is always on hand to help us. At OpenText’s recommendation, we’ll soon move OpenText Content Management to Google Cloud Platform (GCP), which will allow us to take advantage of the latest containerization technologies to further improve service availability and accelerate disaster recovery.

Speedy onboarding and happier employees

We’re also improving the employee experience by making our onboarding processes faster and more transparent. Candidates don’t have to wait around to receive their contracts in the mail, and they get real-time feedback when they’ve provided all the information we need. In this way, we set them up for the best start at Coles.

Digitizing the onboarding process with OpenText is also paying off when it comes to adapting to new regulatory requirements. This was really put to the test, with the arrival of new legislation that requires us to assess whether we can offer casual workers a permanent role after 12 months of employment.

Working with OpenText, we built a workflow that automatically sends a letter to our employees with the results of our assessments. Crucially, the solution gives us a full audit trail so we can show our regulator that we are compliant. That’s just one more example of how OpenText is helping Coles meet new challenges.

To learn more about how we’ve streamlined onboarding for thousands of team members, read our case study.
Read the case study

Bernie Repacholi

September 3, 2025

Content Services, Human Resource Management, Industries, Line of Business, Retail, Technologies

employee onboarding automation, enterprise content management, HR process automation, HR process optimization
The payer-provider AI arms race

The healthcare industry is witnessing an unprecedented technological transformation as artificial intelligence reshapes the fundamental dynamics between payers and providers.

What has emerged is nothing short of an “AI arms race” – a competitive battle where insurers and healthcare providers are rapidly deploying sophisticated algorithms to gain strategic advantages in claims processing, revenue cycle management, and patient care delivery.

The current landscape: Payers take the lead

As of 2024, insurers appear to have gained the upper hand in this technological competition. Major players like UnitedHealth, Humana, and Cigna have already integrated algorithmic decision-making tools into their claims review processes, fundamentally changing how coverage decisions are made. This early adoption advantage has positioned payers to process claims more efficiently while potentially reducing costs through automated denial and approval systems.

The numbers tell a compelling story about the rapid adoption of AI across healthcare. Recent surveys indicate that 85 percent of healthcare leaders – spanning payers, health systems, and healthcare service organizations – are either exploring or have already implemented generative AI capabilities (McKinsey & Company, 2024). More specifically, 25 percent of payers report having established AI strategies in 2024, compared to just 15 percent of providers, highlighting the gap in technological readiness between these two critical stakeholders (Healthcare Financial Management Association, 2024).

The provider response: Racing to catch up

Healthcare providers haven’t remained idle in this technological revolution. Approximately 46 percent of hospitals and health systems are now utilizing AI solutions (HIMSS, 2024), particularly in revenue cycle management (RCM), where the technology is becoming a decisive factor between financial success and struggle. The focus on RCM makes strategic sense – providers face increasing pressure to optimize their financial operations while managing complex billing processes and insurance interactions.

Revenue cycle management has emerged as the primary battleground where AI is making the most immediate impact. Providers are leveraging AI to streamline billing processes, reduce claim denials, and improve cash flow. This technological adoption represents a defensive strategy against increasingly sophisticated payer AI systems that can identify and deny claims with unprecedented speed and accuracy.

The stakes: Financial performance and patient care

The implications of this AI arms race extend far beyond technological innovation. For payers, AI implementation offers the promise of reduced administrative costs, improved fraud detection, and more accurate risk assessment. Automated claims processing can significantly reduce the time and human resources required to evaluate coverage decisions, potentially leading to substantial cost savings.

However, this efficiency comes with potential risks. As AI systems become more aggressive in identifying potentially unnecessary or fraudulent claims, providers may face higher denial rates, forcing them to invest more resources in appeals processes and documentation. This creates a cascading effect where providers must deploy their own AI systems to ensure proper claim submission and appeal management.

For providers, the stakes are particularly high. Healthcare organizations operating with thin margins cannot afford to lose revenue to AI-driven claim denials. The deployment of AI in revenue cycle management has become less about gaining competitive advantage and more about survival in an increasingly automated healthcare economy.

Technological infrastructure: The foundation of competition

The race isn’t just about deploying AI – it’s about building the technological infrastructure to support large-scale automation. According to recent industry surveys, 79 percent of payer IT and operations leaders report that their organizations are actively enhancing technological capabilities to support comprehensive AI deployment (Accenture Health Technology Survey, 2024). Furthermore, 70 percent indicate that modernization initiatives are currently in progress.

This infrastructure development represents a significant financial commitment. Organizations must invest in data integration systems, cloud computing capabilities, and cybersecurity measures to support AI implementation. The complexity of healthcare data, with its various formats, regulatory requirements, and integration challenges, makes this technological transformation particularly demanding.

The regulatory and ethical dimension

As AI systems become more prevalent in healthcare financial operations, regulatory oversight is intensifying. The automated nature of AI decision-making raises questions about transparency, accountability, and patient rights. When an AI system denies a claim or coverage request, patients and providers need clear pathways for appeal and human review.

The ethical implications are equally complex. While AI can improve efficiency and reduce costs, it must not compromise patient care or create barriers to necessary medical treatments. The challenge lies in balancing the financial benefits of automation with the fundamental healthcare mission of providing appropriate patient care.

Looking ahead: The future of the arms race

The AI arms race in healthcare is still in its early stages, with significant developments expected throughout 2025 and beyond. Value-based care arrangements are becoming more prevalent, with 45.2 percent of healthcare payments now flowing through such arrangements (Health Care Payment Learning & Action Network, 2024)—a trend that will likely accelerate AI adoption as both payers and providers seek to optimize outcomes and costs.

The emergence of generative AI presents new opportunities and challenges. These advanced systems can provide more sophisticated analysis of medical records, generate detailed reports, and even assist in clinical decision-making. However, they also require more robust governance frameworks and quality assurance processes.

Conclusion: Collaboration or continued competition?

The payer-provider AI arms race represents both a challenge and an opportunity for the healthcare industry. While competition drives innovation and efficiency improvements, the ultimate goal should be better patient outcomes and more sustainable healthcare economics.

Success in this technological transformation will require more than just deploying the most advanced AI systems. Organizations must invest in change management, staff training, and collaborative approaches that leverage AI to improve the entire healthcare ecosystem rather than simply gaining advantage over other stakeholders.

As this arms race continues to evolve, the winners will likely be those who can balance technological sophistication with human-centered care, regulatory compliance, and ethical responsibility. The future of healthcare finance may depend not on who has the most powerful AI, but on who can use these tools most effectively to serve patients while maintaining financial sustainability.

Are you ready to work with us?

Learn more about how OpenText solutions for healthcare can help you address challenges in your organization.

Scott Lundstrom

September 3, 2025

Analytics, Aviator AI, Healthcare, Industries, Legal & Compliance, Line of Business, News, News & Events, Technologies

AI, Analytics, Automation, cloud, digital transformation, generative AI, Healthcare, healthcare innovation, healthcare IT, Information Management, OpenText, Patient Care, patient engagement, Patient Experience, RCM, security, total experience
Create faster processes and actionable data with intelligent document processing
Where can your organization use AI and automation to create ultra-efficient operations?

That was the question posed by Solaris, a provider of Europe’s leading embedded finance platform. Experiencing rapid growth with its cutting-edge Banking-as-a-Service platform, the company needed to scale to meet customer demand while maintaining lean and efficient operations.

Solaris identified a key business process eating up significant time and resources: invoice processing. With an intelligent document processing (IDP) solution, the company introduced newfound speed to financial processes—with 81% faster preparation of supplier payment runs and reducing month-end closing activities by two days!

Go beyond the finance department for intelligent document processing gains

While Solaris reaped impressive efficiency benefits, the power of IDP impacts more than finance departments. IDP also reduces manual tasks within sales, HR, customer service, and other critical functions.

Let’s explore how end-to-end intelligent document processing solutions introduce new efficiencies to drive growth, scale business, and maintain an edge in the market—and what to look for from a vendor solution.

The big three of IDP

When organizations prioritize automation projects, one of the top considerations is the current number of repetitive, manual tasks. And understandably so, as taking manual steps out of processes leads to reduced errors, cost savings, and enables employees to focus on other, higher-value tasks.

To increase intelligent document processing benefits and effectively scale, there are three must-have components:
1. Omnichannel, multi-modal information capture: Transform paper, digital documents, and media files, such as sales orders, invoices, or onboarding content, into known document types with extracted data that is actionable for systems, people, and processes.
2. AI and machine learning: Increase the accuracy of extracted data and insights from any type of content, delivering smarter workflow decisions and enabling organizations to classify content at scale.
3. Process automation: Reduce digital friction by optimizing information flow across applications and business functions, empowering employees to elevate performance and customer satisfaction.
Intelligent document processing has many practical use cases, able to transform customer experience initiatives, employee onboarding, invoice processing, and records and contract management in a variety of industries, such as healthcare and transportation.

When choosing an intelligent document processing solution, here are five questions to help guide your search:

1. How intelligent is the information capture?
As part of automation priorities, organizations require intelligent information capture. This means going beyond digitizing documents to make them searchable, layering in AI to improve data extraction and enable automated classification based on extracted metadata.
- Does the solution use natural language AI integrations to uncover sentiment, such as tone and intent?
- What is the role of large language models and continuous machine learning to increase accuracy and efficiency over time?
- How does the solution validate extracted data against pre-defined rules or reference data to ensure accuracy?
2. Can the solution grow with your needs?

Your document and data processing needs of today will not be the same tomorrow. Inquire about the solution’s ability to scale for larger inbound content volumes and adjust to handle new file formats.
- How easy is it to add new document types and adjust data extraction rules?
- Does the solution ensure each step (extraction, classification, and processing) is retained and updated on the go as new data and document layouts are encountered?
- What features are built-in to help reduce the time to manually reassess and retain models?
3. Does it work in the cloud or on your own servers?

It’s important to have the flexibility to choose a deployment model that works best for your organization, your industry, and your organizational policies and processes.
- Are both on- and off-cloud deployments available, as well as hybrid, and both public and private cloud?
- Which cloud providers are compatible with the intelligent document processing solution of choice, such as Google Cloud, Microsoft Azure, and AWS?
4. Will it connect with your current systems?

To improve operational excellence and enhance the employee and customer experience, intelligent data processing needs to seamlessly integrate with the applications and systems that your teams use every day.
- How compatible is the IDP solution with your existing technology stack?
- Does the IDP solution have deep integrations so that the content review and validation user interface is within line-of-business applications, like SAP and Salesforce, or does it require a proprietary connector or additional third-party technology?
- Does the IDP solution automatically route extracted data to critical business applications without the need for complex integrations?
- Can you leverage APIs to facilitate data exchanges with existing systems?
- Does the solution include automation tools, such as RPA, or does it rely on a license and integration with an additional third-party vendor?
5. Does it protect your data and meet compliance rules?

Your intelligent document processing solution of choice should support regulatory compliance and adhere to internal data security controls.
- Does the solution flag discrepancies in data during the extraction and classification process to detect fraud or non-compliance?
- Does the solution produce detailed audit trails of data processing activities?
- Does the solution provider follow responsible AI practices and never shares customer data with third-party AI models?
Why choose OpenText for intelligent document processing?

Recognized as a leader in information capture and intelligent document processing, OpenText helps organizations streamline content-driven business processes to tap into rich data, saving processing costs and time. Unlike point solutions that only handle one part of the document lifecycle, OpenText offers a unified approach that provides end-to-end capabilities to reduce complexity, improve accuracy, and speed time to value. We deliver information capture, intelligent document processing, content services, archiving, and analytics in a single solution to help organizations reduce manual work, improve data quality, and accelerate digital transformation.
Discover why organizations choose OpenText for intelligent document processing
Sabra Goldick

September 2, 2025

Content Services, Technologies

IDP, intelligent document processing
The human side of AI: elevating employee and advisor experiences in banking and insurance
If you strip away the hype, the most meaningful AI stories in financial services are human ones: advisors who finally get back to advising, claims handlers who spend less time chasing documents, and contact-center agents who feel more capable on tough calls. In a year when employee engagement slipped to a decade low in the U.S. and declined globally, leaders need solutions that actually make work better—not just cheaper.

Why the employee experience (EX) is a growth lever

There’s a well-documented link between better EX and better customer outcomes. Gallup’s analyses show that engagement correlates with higher performance; conversely, low engagement is estimated to cost the global economy $8.9 trillion—about 9% of global GDP. In 2024, global engagement fell from 23% to 21%, underscoring the urgency to remove friction from daily work.
Banking and insurance add a unique twist: compliance and documentation are heavier than in most sectors, and they siphon time away from high-value client moments. U.S. banks report that executive and board time devoted to regulatory matters has grown sharply—up to 42–43%—crowding out strategy. Meanwhile, financial advisors report that a sizable share of their week still goes to admin and compliance rather than client conversations.

AI’s real EX impact: specific, human-centered use cases

1) AI assistants for frontline teams.
When agents get an AI-powered support tool that surfaces next best actions, drafts summaries, and retrieves knowledge in real time, productivity rises—especially for newer colleagues. In a large-scale study of 5,179 support agents, access to a generative AI assistant increased issues resolved per hour by 14% on average and by 34% for novice workers. That’s an EX story: people feel more capable, learn faster, and handle complexity with less stress.

2) Giving advisors their time back.
Advisors want to spend more time with clients, but admin and compliance pile-ups persist. J.D. Power has flagged “time-starved” advisors, and other surveys confirm advisors still split meaningful time across paperwork, reporting, and updates that technology could streamline. AI that automates prep, note-taking, suitability checks, and post-meeting follow-ups returns hours to relationship work.

The human payoff matters: nearly eight in ten bank employees say their job satisfaction would rise if they could streamline non-customer-facing tasks—precisely the kind of work AI can chip away at.

3) Claims and underwriting, refocused on empathy.
For insurers, generative AI can reduce loss-adjusting expense 20–25% by automating repetitive steps (document prep, first-notice communications, evidence gathering), letting handlers focus on tricky causality, empathy, and exception resolution. Real-world deployments are accelerating: Suncorp uses AI and aerial imagery to speed natural-disaster assessment—shrinking the time to decisions in moments when customers are most vulnerable.

4) Faster onboarding and upskilling amid talent shifts.
Wealth management faces a looming advisor retirement wave—McKinsey estimates ~110,000 U.S. advisors (38% of today’s total) will retire within a decade. AI knowledge assistants that answer “how we do it here,” summarize policies, and simulate client scenarios can compress ramp times and reduce the cognitive load on mentors.

5) Safer, simpler compliance workflows.
Generative AI won’t replace human judgment in risk, but it can assemble evidence packs, draft narratives tied to policy, and highlight anomalies across content stores—reducing swivel-chair effort while preserving audit trails. Organizations that modernize end-to-end processes with AI are already seeing outsized performance gains: companies with AI-led processes report ~2.4x productivity versus peers.

Adoption is real—but design choices matter

AI use is no longer fringe: by mid-2024, 65% of organizations reported regularly using generative AI—nearly double the prior year. In insurance specifically, 76% of carriers say they’ve implemented genAI in one or more functions. The lesson: technology is ready; employee trust, change management, and governance will decide who turns pilots into durable EX improvements.

To keep AI human-centered in FS:
- Make the assistant visible, not the model. Ship task-level AI helpers inside the tools people already use.
- Design for novices first. Evidence shows the biggest productivity lift accrues to less-tenured workers.
- Tie output to policy. Each suggestion should cite the policy, control, or clause it’s based on.
- Protect the employee day. Use AI to kill copy-paste and “where’s that file?” time, not to accelerate already-overloaded queues.
What to measure (beyond cost)

Leaders who anchor on EX as the north star track:
- Time returned to humans: minutes per claim, per case, or per meeting reclaimed.
- Experience indicators: advisor satisfaction and intent to stay, plus agent confidence scores post-call.
- Quality and fairness: error rates, reversal rates, and the share of AI outputs with linked evidence.
- Customer lift: when EX improves, handle times and first-contact resolution move with NPS/CSAT.
How OpenText can help—practical building blocks for human-centered AI

OpenText™ Aviator brings private, enterprise-grade AI to where work happens—your content, workflows, and customer journeys. Banks and insurers can use Aviator to power conversational search across policies, procedures, and case files; summarize long documents; and generate first drafts of communications, freeing staff to focus on judgment and care.

OpenText™ Core Content Management connects people, content, and processes—governing the information lifecycle and integrating with SAP, Microsoft 365, Salesforce. That means fewer hunts for “the latest version,” clearer context in Microsoft Teams, and auditable content for regulators.

OpenText™ Communications (Exstream) equips advisors and operations teams with a single platform to produce compliant, personalized omnichannel communications. For insurers using Guidewire, OpenText Communications has accelerators that streamline template management and document generation right inside your core system.

Why now: AI adoption is surging, but value comes when you uplift the day-to-day experience of advisors, adjusters, underwriters, and agents. OpenText’s approach—private, governed AI embedded in content and communications workflows—helps return time to humans, improve confidence, and make every interaction feel more personal, compliant, and calm.

To find out more about OpenText Financial Services products and solutions, please visit: https://www.opentext.com/solutions/industry/financial-services.
Monica Hovsepian

September 2, 2025

Banking, Content Services, Customer Experience, Industries, Insurance, News, News & Events, Technologies

AI, AI in banking, AI in insurance, Banking, Banking & Insurance, employee experience, Insurance
From support to strategy: Why Legal and IT are better together
Legal and IT have lived parallel lives, with separate goals, separate languages, and often, separate strategies. With growing pressure to modernize and adopt emerging technologies, those silos are becoming less tenable.

A recent Foundry MarketPulse survey of over 200 senior IT leaders¹ provides insight into the new alliance that is forming: 84% say they play a critical or important role in supporting the legal department’s strategy, especially when it comes to technologies like generative AI (GenAI). More than half are leading digital transformation initiatives for Legal.

Here are five takeaways from that research, and what they signal about the evolving state of Legal-IT collaboration.

Joint ownership leads to smarter legal tech investments

Legal department transformation does not succeed in isolation. 61% of respondents support all phases of legal digital transformation, and more than half (54%) lead these efforts—helping to select vendors, map solutions to existing infrastructure, and evaluate ROI.

It’s not just about technology implementation; it’s about sustainable innovation. This level of collaboration enables Legal and IT to develop roadmaps that optimize operations and align with the enterprise’s overall goals.

Still, collaboration is not universal: 14% say they only get involved when migrating to or deploying on the cloud, and 11% report minimal interaction despite recognizing the need. This gap suggests room for improvement in strategic alignment.

IT helps align automation to deliver results

Automation without alignment is just noise. Workflow automation requires a comprehensive evaluation of tools to support key activities and processes—such as legal hold or document review.

IT brings the knowledge to identify automation opportunities, deploy the right tools, and integrate them seamlessly.

In addition to the 54% of IT leaders who say they lead Legal initiatives, 32% of IT leaders report being brought in specifically to support vendor reviews and provide recommendations—underscoring how automation tools are increasingly subject to enterprise-wide scrutiny.

Yet, 15% of respondents report that Legal operates without a dedicated IT partner, potentially limiting the impact of automation efforts.

AI and GenAI are reshaping legal strategy

CIOs are uniquely positioned to help Legal leaders assess the security, reliability, auditability, and system integration of GenAI.

Notably, GenAI deployment is progressing quickly: survey data indicates that organizations plan to roll out GenAI to their legal departments within an average of 10 months, with large companies leading the way (9 months) compared to smaller ones (14 months).

64% of organizations are already exploring or piloting GenAI. Top use cases include compliance (59%), intelligent search (51%), eDiscovery (44%), document summarization (44%), and legal research (43%)—proving this is not just hype; it is action.²

Intertwined support for eDiscovery

Legal and IT have long collaborated on litigation and investigation support—but that partnership is deepening. Respondents report involvement in:
- Data collections and forensics (57%)
- eDiscovery (43%)
- Internal investigations (39%)
- Legal hold process management (39%)
Modern eDiscovery methods such as Technology-Assisted Review (TAR) and Human-Assisted Review (HAR), guided by GenAI, are reducing legal review times while enhancing consistency—made possible through IT-led GenAI deployment.

IT’s strategic role in legal innovation is expanding

Today’s IT leaders are not just problem-solvers; they are change agents. According to the survey:
- 57% of respondents believe IT can have a significant impact on Legal’s AI strategy.
- 52% of midsize+³ companies say IT plays a critical role in supporting legal innovation.
- 35% of midsize+ companies report that IT controls Legal’s technology budget.
The survey also shows that 47% of organizations report high digital maturity—where technology is deeply embedded in the culture and business model. These organizations are moving faster (especially on GenAI) and seeing more impact from Legal-IT collaboration.

Driving innovation with joint Legal and IT leadership

True transformation demands cross-functional planning—not siloed strategies. It calls for more than collaboration; it demands co-leadership. With nearly 80% of IT leaders already engaged in AI-related legal projects, and 64% of organizations either piloting or planning GenAI rollouts, the time for deeper partnership is now, not later.

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Explore the survey, uncover insights, and see what senior IT leaders are saying about the future of legal transformation.
1. [1] All respondents were senior IT decision-makers. The majority (53%) held executive roles such as Chief Information Officer (CIO), Chief Technology Officer (CTO), Chief Digital Officer (CDO), or Head of IT. The remaining respondents included Vice Presidents of IT, Directors of IT, and other senior-level IT leaders.
2. [2] Interestingly, law firms reported a shift from hesitancy to widespread adoption with training programs in place, and lawyers increasingly view AI tools positively while balancing concerns about reliability and usage. https://www.law360.com/pulse/articles/2299612/the-2025-ai-survey
3. [3] Midsize+ companies (revenues of more than $501 million) – 52% said IT plays a critical role in supporting innovation while 35% said IT controls the budget and investment for Legal’s technology.
Andy Teichholz

August 29, 2025

eDiscovery, Industries, Information Technology, IT Operations, Legal, Legal & Compliance, Line of Business, Technologies

Legal strategy, legal technology, Legal-IT partnership
How to choose the best B2B integration software in 2025
It’s 2025, which means it’s time to ditch the fax machine. We’ve got AI copilots writing code, supply chains stretching across continents, and quantum computing knocking on the door. Yet somehow, some businesses are still clinging to email threads, PDF attachments, and yes, the occasional fax to manage trading partner communications.

That friction? It’s costing time, money, and trust.

The good news is that there are vendors who can manage the complexity of global commerce. The better news is that it’s never been easier to choose a solution that fits your business needs.

Let’s break down how to find the best B2B integration solution for you, without the jargon or guesswork.

What B2B integration looks like in 2025

Once upon a time, B2B integration meant Electronic Data Interchange (EDI) and not much else. Today, it’s a dynamic ecosystem built for real-time, API-driven exchanges, AI-backed workflows, and seamless collaboration.

Modern B2B and EDI vendors are able to connect you with everyone in your orbit: suppliers, logistics providers, banks, and beyond, no matter their tech stack or size. Whether it’s streamlining order fulfillment or ensuring financial compliance, these systems are the unsung heroes behind high-performing supply chains.

What to look for in a B2B integration solution

Choosing the right B2B integration capabilities isn’t about checking boxes. It’s about enabling the outcomes that matter to your business. Look for solutions that offer:

1. Digital transformation from any source

Modern platforms must accommodate a wide range of data formats. Structured and unstructured, digital and analog. This means they need to be able to do more than just accept EDI or API-based transactions.

A truly capable solution can ingest and transform PDFs, spreadsheets, flat files, XML, legacy system outputs, emails, faxes, and even handwritten or scanned documents into clean, structured, and usable data.

Why does this matter?

Because not every trading partner is on the same digital maturity curve. Some may be running decades-old ERPs with no API access. Others might send invoices as image-based PDFs or submit orders via email attachments. Forcing these partners to adopt your systems (or delaying integration until they do) can create costly onboarding delays and jeopardize business relationships.

Instead, a flexible integration platform meets each partner where they are. Using intelligent document processing (IDP), optical character recognition (OCR), and machine learning, leading solutions can:
- Extract and validate key data from unstructured sources in real time
- Standardize and enrich that data with business rules and partner-specific mappings
- Push clean data into your ERP, WMS, TMS, or CRM with full traceability
This capability eliminates the need for manual data entry and reduces the risk of costly errors or compliance violations. It also enables your internal teams to operate with more reliable, timely information across critical functions like procurement, logistics, finance, and customer service.

2. End-to-end order and invoice automation

Automating your full order-to-cash (O2C) and procure-to-pay (P2P) processes eliminates manual bottlenecks and keeps operations running smoothly. Instead of chasing down emails or correcting entry errors, you enable seamless, real-time transaction flows across your supply chain and finance teams.

A robust platform should automate:
- Purchase orders, confirmations, and shipping notices
- Invoices, validation, and three-way matching
- Payments, remittance, and compliance reporting
Look for solutions with smart validation rules, automated workflows, and ERP/payment system integration to ensure data accuracy and reduce cycle times.

Crucially, automation also supports compliance with global e-invoicing mandates, from Italy’s SDI to Brazil’s Nota Fiscal, so you can expand across regions without extra overhead.

Ultimately, automation will mean faster transactions, fewer errors, and more resilient supply chain and finance operations, all while meeting regulatory requirements.

3. AI-powered workflows

Artificial intelligence is no longer a futuristic concept. In B2B integration, AI now plays a vital role. Leading platforms use AI to flag data anomalies, suggest workflow optimizations, and even auto-correct issues before they cause a disruption.

Continuous intelligence through AI can:
- Flag data anomalies before they cause downstream errors
- Recommend workflow improvements based on historical patterns
- Auto-correct formatting or validation issues in real time
- Prioritize tasks or alerts based on business impact
By learning from past behavior and identifying trends across large volumes of transactions, AI enables predictive insights. For example, if a supplier typically ships late, AI can flag risk earlier and suggest proactive steps to avoid delays.

This intelligence runs quietly in the background, reducing the noise your teams deal with daily. It helps your staff spend less time on low-value exception handling and more time on strategic, higher-impact work, leading to Smoother operations, fewer errors, and faster decisions.

4. Global financial and treasury integration

As organizations expand across borders, managing financial operations becomes exponentially more complex. Modern B2B integration platforms eliminate fragmentation by connecting payment, banking, and treasury systems into a unified financial ecosystem. This allows finance teams to centralize control while still supporting regional and local nuances.

Key capabilities to look out for when evaluating BB integration software include:
- Automated payment processing across multiple banks and currencies
- Integration with treasury management systems for cash forecasting and liquidity planning
- Compliance support for regional tax, invoice, and e-payment regulations
- Consolidated reporting across subsidiaries, geographies, and business units
With everything connected, you gain real-time visibility into global cash positions, simplify reconciliation, and reduce the risk of payment delays or regulatory missteps. This means you’ll have a more agile, compliant, and insight-driven finance operation that can scale with your business, no matter how global it becomes.

5. Partner ecosystem management

Your business doesn’t operate in a vacuum. It thrives on the strength of its partner ecosystem. Suppliers, logistics providers, retailers, banks, and service providers all play critical roles. Managing these relationships at scale requires more than email chains and spreadsheets.

A modern B2B integration platform should act as a supply chain collaboration hub that simplifies how you onboard, manage, and grow partner relationships. That starts with intuitive, self-service onboarding, allowing partners to connect quickly without heavy IT involvement. The faster a partner is up and running, the faster you can transact and deliver value.

But onboarding is just the beginning. The right platform should also offer:
- Role-based access and permissions to ensure data security and process clarity
- SLA and performance dashboards that track fulfillment rates, delivery times, and error trends
- Built-in messaging and alerting tools to streamline communication
- Automated testing and certification to validate document formats or compliance standards
This level of visibility and automation strengthens trust. When partners know they’re working within a reliable, transparent framework, collaboration becomes smoother and more resilient.

6. Secure file transfers

Not all business-critical documents fit neatly into structured data fields. From technical blueprints and product specifications to regulatory certificates and compliance reports, many files are too large or too sensitive for traditional channels like email or consumer-grade file-sharing tools. Secure managed file transfer ensures that your data gets where it needs to go, fast, encrypted, and fully auditable

Modern B2B integration platforms should include secure, high-performance file transfer capabilities built to handle large payloads and sensitive content with confidence. These tools go far beyond simple upload/download functions. They offer:
- End-to-end encryption in transit and at rest
- Role-based access controls and user authentication
- Audit logs and tracking to ensure full visibility and traceability
- Automated routing and delivery based on file type, recipient, or workflow triggers
- Support for industry compliance standards (e.g., GDPR, HIPAA, ISO 27001)
Whether you’re sending design documents to a manufacturing partner or submitting compliance data to a regulator, secure file transfer ensures that your information arrives quickly, safely, and within policy, with no risk of interception, misdelivery, or loss.

7. Real-time analytics

In today’s fast-moving business environment, it’s not enough to collect data. You need insights that drive action.

Today’s integration platforms should offer live dashboards and reporting tools that give you continuous visibility into your end-to-end operations. This enables businesses to proactively identify issues, optimize workflows, and drive better decisions in the moment.

Key analytics capabilities include:
- Transaction tracking to monitor success and failure rates in real time
- Exception reporting to detect and escalate supply chain disruptions
- Partner performance metrics tied to SLAs and key KPIs
- Predictive insights to anticipate delays, inventory risks, or compliance issues
- Custom dashboards tailored to roles across IT, procurement, finance, and operations
By surfacing actionable data instantly, analytics transform how teams respond to challenges, from spotting a pattern of late shipments to uncovering root causes of invoice discrepancies. And with AI-enhanced insights, you don’t just react. You optimize.

Why it matters: the business impact of B2B integration

B2B integration is a strategic enabler of growth, resilience, and trust. In a world where every delay, error, or miscommunication can ripple across global supply chains, the right integration platform keeps your business responsive, compliant, and competitive.

It’s about more than digitizing documents. It’s about:
- Connecting with any partner, anywhere
- Seeing supply chain risks before they happen
- Reducing manual errors and boosting data accuracy
- Accelerating time to market
- Making smarter decisions with predictive insights
- Meeting global compliance mandates (hello, e-invoicing)
- Flexing across hybrid, cloud, or API-first deployments
In short, it’s about connecting the dots between your systems, your partners, and your strategy, giving you the agility and intelligence to lead in any market condition.

How to choose the right B2B integration provider for you

Every business has unique systems, workflows, and partner networks. But choosing the right provider doesn’t have to be complicated. Asking the right questions helps you identify a solution that fits your current needs and scales with your future ambitions.

Consider:
- Can the provider support both EDI and modern APIs? You need a platform that bridges traditional systems and modern architectures, without forcing a rip-and-replace strategy.
- Will they work with any partner, regardless of technical maturity? Your network includes high-tech partners and those still using spreadsheets. A flexible provider should meet all of them where they are.
- Do they have the expertise and infrastructure to scale across regions and regulatory frameworks? Global expansion requires deep knowledge of local tax, compliance, and trading mandates.
- Do they offer the automation, visibility, and security your business requires? Look for solutions that streamline workflows, surface actionable insights, and protect sensitive data from end to end.
- Can they deploy the solution how you need it? Whether you’re cloud-first, hybrid, or still managing on-prem infrastructure, the platform should align with your IT strategy.
- Do they provide hands-on onboarding and long-term support? Initial implementation is only the beginning. You want a partner who will guide you through onboarding, updates, and evolving business needs.
And most importantly:
- Are they going to make your life easier and deliver ROI? The right provider will reduce operational burden, improve partner satisfaction, and prove their value through faster time to value and long-term efficiency gains.
Why OpenText Business Network deserves a look

OpenText didn’t just build a B2B integration platform; they’ve shaped the category. The OpenText Trading Grid platform is the world’s largest business network, supporting over 1 million trading partners and processing millions of transactions daily.

With OpenText, you benefit from:
- EDI and API connectivity in one platform
- Secure managed services with global scale
- Built-in AI and operational analytics
- Compliance with regional mandates across the globe
- Community management that reduces partner friction
- End-to-end visibility into transactions and workflows
That’s why OpenText keeps showing up as a Leader in the IDC Marketscape for Multi-Enterprise Supply Chain Commerce Networks vendor assessment.

The future of B2B integration

The future is intelligent, connected, and frictionless. The right solution won’t just keep your operations and business compliant; it will unlock agility, resilience, and competitive edge.

Now is the time to modernize how you work with your partners. Explore what’s possible with the right B2B integration strategy.
Naomi Skinner

August 27, 2025

Business Network, Integration, Line of Business, Supply Chain, Technologies

B2B Integration, b2b managed services, Business Network, EDI
OpenText named a leader in the 2025 Aspire CXP and AnyPrem CCM Leaderboard market segments

In the constantly evolving customer experience management (CXM) landscape, OpenText^TM stands tall. Global analyst and research firm Aspire Customer Communications Services recognized OpenText Experience Cloud and OpenText^TM Communications (Exstream) as Leaders in their latest Aspire Leaderboard^TM update.

OpenText Experience Cloud achieves top score amongst software vendors

Aspire recognizes OpenText as a leader in Communications Experience Platforms (CXP).

“We’ve received particularly positive market feedback about OpenText Communications’ latest Cloud Edition, as well as OpenText’s AI Aviator, which provides a flexible framework for various AI applications within the CCM-CXM domain,” notes Aspire.

OpenText received the strongest overall score in the CXP Leaderboard when compared against nine other software vendors in this space. As customer communications becomes a core part of total experience, OpenText is well positioned to help organizations deliver personalized experiences at scale.

OpenText Communications (Exstream), for the eighth year in a row, named leader in CCM Software

For the eighth year in a row, OpenText Communications (Exstream) was named a leader in AnyPrem CCM Software. OpenText was also named a leader in Vendor Hosted SaaS CCM. OpenText Communications, our flagship customer communications management (CCM) offering, powers communications modernization, allowing companies to create compliant, personalized and insightful data-driven communications with digital experiences on customer-preferred delivery channels and formats.

“In recent years, OpenText has significantly evolved its market position, transitioning from a traditional enterprise IT vendor with a diverse portfolio of point solutions to a comprehensive best-of-suite player in the customer experience space. The company is strategically integrating its Customer Communications Management (CCM) capabilities – spearheaded by its flagship OpenText Communications (Exstream) solution – with its Digital Experience (DX) offerings to create a unified approach to customer engagement. This evolution reflects OpenText’s response to the growing demand for Total Experience (TX) solutions and, more recently, the focus on overall customer success across the entire communications and experience lifecycle,” notes Aspire.

Receive premium access to the Aspire Leaderboard

The Aspire Leaderboard is an interactive comparison tool that helps companies find the right solution based on their specific size, region and scope. OpenText invites you to engage with the online tool and view the current landscape of technology leaders raising the bar for tomorrow’s communications.

Janet de Guzman

August 27, 2025

Customer Experience, Line of Business, Marketing & Communications, Technologies

Analyst Report, Customer Communications, Customer Communications Management, Customer Experience, Customer Experience Management, OpenText Exstream
Strengthening data loss prevention with GenAI
Data leaks are costly, risky, and damaging to your business. Most enterprise information is trapped in unstructured formats—emails, chat logs, images, and video—making it hard for traditional data loss prevention (DLP) tools to keep up. That’s why IT professionals are looking for ways to combine DLP with Generative AI to better protect sensitive data and unlock its value.

OpenText Knowledge Discovery gives you the building blocks to do exactly that. Whether you need to embed DLP capabilities into your applications or add GenAI features to white-label solutions, OpenText Knowledge Discovery provides the tools to detect, classify, and secure sensitive information at scale.

Why traditional DLP falls short

Data leaks aren’t just costly—they create risk, damage trust, and can lead to regulatory exposure.

The challenge is that most enterprise knowledge no longer lives neatly in databases. Instead, it’s scattered across emails, chat logs, shared drives, collaboration platforms, and rich media files like audio, video, and images.

Traditional DLP tools were designed for structured data. They often struggle to analyze unstructured formats at scale, which means sensitive information, such as those regulated by PII, financial records, or health data, can remain hidden. Without context-aware detection, teams risk either missing critical exposures or being overwhelmed by false positives.

To overcome these limitations, modern DLP strategies need:
- Comprehensive coverage of unstructured data across thousands of file types
- AI-driven entity recognition to identify PII, PHI, and financial details with accuracy
- Policy-based classification and tagging that supports compliance across GDPR, CPPA, HIPAA, and other regulations
- Flexible integration options so that DLP can extend into existing applications, workflows, and hybrid environments
This is where OpenText Knowledge Discovery provides value: they supply these capabilities as embeddable components, giving IT teams the flexibility to close gaps in their current DLP approach.

Enterprise-ready GenAI for OEM and embedded applications

Generative AI is only as powerful as the data behind it. Most models are trained on generic, public information, which doesn’t always align with enterprise use cases. To deliver reliable results, GenAI needs business content that has been extracted, tagged, and enriched with semantic analytics.

With OpenText Knowledge Discovery, you can prepare enterprise data so GenAI can:
- Answer complex, domain-specific questions
- Summarize lengthy documents and communications
- Identify relationships and trends across diverse data sets
- Support sensitive use cases without exposing private content
This ensures GenAI doesn’t just generate answers—it delivers context-aware insights rooted in your organization’s knowledge.

How OEM partners can prepare content for GenAI workflows

A critical step in modernizing DLP and AI is ensuring enterprise content is GenAI-ready. For OEM developers, this means having data that is clean, compliant, and context-rich before it ever reaches an AI model. OpenText Knowledge Discovery simplify this process by:
- Extracting and encoding content in logical order while preserving context and meaning
- Filtering sensitive or private data so only approved information is used for GenAI training
- Enriching metadata for faster classification, tagging, search, and compliance tracking
By embedding these capabilities, OEM partners can confidently deliver GenAI-powered applications that protect sensitive data while unlocking greater business value.

Scalable, secure tools for OEM developers

Designed for enterprise environments, OpenText Knowledge Discovery make it simple for OEM partners to embed advanced DLP and GenAI capabilities into their applications.
- Scalable and cloud-ready: Deploy quickly and expand as data volumes grow
- Flexible SDKs: Available in Java, .NET, C++, and REST APIs for easy embedding and white-labeling
- AI-ready insights: Prepare enterprise data for large language models (LLMs) and AI workflows directly from repositories—without complex migrations
Seamless integration with enterprise platforms

IT teams and OEM developers can’t afford lengthy development cycles. That’s why OpenText Knowledge Discovery come ready to integrate into existing environments, helping you deliver solutions faster and at lower cost.
- Prebuilt REST APIs for sensitive data scanning and rich media analytics
- Connectors for Microsoft 365, Salesforce, OpenText DAM, and more
- Role-based access controls to maintain security as data moves across platforms
These integration options help OEM partners accelerate their time to market and create value for customers without having to rebuild from scratch.

Bringing DLP and GenAI together for OEM success

When DLP and GenAI work together, enterprises move beyond simply preventing data loss—they unlock intelligence. OpenText Knowledge Discovery gives OEM partners the ability to stop leaks, uncover insights, and turn unstructured data into a competitive advantage.

If you’re ready to explore how these SDKs can support your use cases, reach out to the OpenText OEM Solutions team for a demo or consultation.
Let’s talk
Cesar Vasquez

August 26, 2025

News, News & Events

OpenText World 2025: Elevate together

No. 1 Set your AI agenda

No. 2 Validate skills

No. 3 Get new perspectives

No. 4 Make connections

No. 5 Return to work inspired

Q & A Panel on Quantum Computing and Agentic AI

Tim Sedlack (Data Security)

Tim Bramble (Threat Detection & Response)

Phil Sewell (Data Protection & Analytics)

Final thoughts

Signed, sealed, and delivered

Speedy onboarding and happier employees

The current landscape: Payers take the lead

The provider response: Racing to catch up

The stakes: Financial performance and patient care

Technological infrastructure: The foundation of competition

The regulatory and ethical dimension

Looking ahead: The future of the arms race

Conclusion: Collaboration or continued competition?

Are you ready to work with us?

Go beyond the finance department for intelligent document processing gains

The big three of IDP

1. How intelligent is the information capture?

2. Can the solution grow with your needs?

3. Does it work in the cloud or on your own servers?

4. Will it connect with your current systems?

5. Does it protect your data and meet compliance rules?

Why choose OpenText for intelligent document processing?

Why the employee experience (EX) is a growth lever

AI’s real EX impact: specific, human-centered use cases

Adoption is real—but design choices matter

What to measure (beyond cost)

How OpenText can help—practical building blocks for human-centered AI

Joint ownership leads to smarter legal tech investments

IT helps align automation to deliver results

AI and GenAI are reshaping legal strategy

Intertwined support for eDiscovery

IT’s strategic role in legal innovation is expanding

Driving innovation with joint Legal and IT leadership

What B2B integration looks like in 2025

What to look for in a B2B integration solution

1. Digital transformation from any source

2. End-to-end order and invoice automation

3. AI-powered workflows

4. Global financial and treasury integration

5. Partner ecosystem management

6. Secure file transfers

7. Real-time analytics

Why it matters: the business impact of B2B integration

How to choose the right B2B integration provider for you

Why OpenText Business Network deserves a look

The future of B2B integration

OpenText Experience Cloud achieves top score amongst software vendors

OpenText Communications (Exstream), for the eighth year in a row, named leader in CCM Software

Receive premium access to the Aspire Leaderboard

Why traditional DLP falls short

Enterprise-ready GenAI for OEM and embedded applications

How OEM partners can prepare content for GenAI workflows

Scalable, secure tools for OEM developers

Seamless integration with enterprise platforms

Bringing DLP and GenAI together for OEM success