AI is now a core part of customer experience (CX) strategies. Many teams are already using generative AI to create emails, web pages, and marketing assets faster. But speed alone hasn’t changed how experiences are delivered.
The next phase of customer experience AI is already here. It goes beyond content generation to operationalize AI across the entire experience lifecycle.
Where generative AI falls short in customer experience
Most AI initiatives still focus on isolated use cases. For example, teams use AI for:
- Generating marketing copy
- Creating images
- Assisting customer service agents
While these use cases provide value, they often sit outside the systems where work actually happens. As a result, content gets created faster, but workflows remain unchanged.
As a result, the overall impact on operational efficiency, consistency, and customer outcomes remains limited.
Moving from generative AI to operational AI
Customer experience AI is shifting from generation to execution.
Instead of standalone tools, AI is being embedded directly into the platforms that manage communications, digital content, and customer interactions. This approach connects AI to real workflows, not just outputs.
This is the foundation of OpenText Experience Aviator.
What is OpenText Experience Aviator?
OpenText™ Experience Aviator™ is an AI layer built into OpenText™ Experience Cloud. It integrates directly with existing systems to support content creation, content management, and customer communications.
Instead of working in isolation, it enables teams to:
- Generate communications grounded in trusted enterprise data
- Discover and reuse content across large repositories
- Convert designs into live digital experiences
- Automate document-heavy workflows with AI-driven routing and summarization
The focus shifts from creating more content to improving how work gets done.
Key capabilities of OpenText Experience Aviator
Smarter communications with knowledge-driven AI
Create contextual, compliant communications using trusted enterprise content. This reduces manual effort while improving accuracy and consistency across channels.
Faster content discovery and reuse
Use natural language search to find, tag, and summarize assets across repositories. Teams can locate the right content faster and avoid duplicating work.
From design to live experience in minutes
Turn prompts, images, or Figma designs into structured web pages and templates. This shortens production cycles and reduces reliance on development teams.
Reimagining document-heavy workflows
Summarize, classify, and route documents automatically, including legacy formats such as faxes. Manual processes become streamlined, intelligent workflows.
Why operational AI matters for CX teams
Customer expectations continue to rise, but internal systems often slow teams down.
Operational AI addresses this by embedding intelligence directly into everyday tools. This improves:
- Time to launch campaigns
- Content consistency across channels
- Efficiency of customer communications
- Visibility into content and data
Teams spend less time searching, formatting, and routing—and more time delivering better experiences.
The future of customer experience AI
The next phase of CX AI is not about generating more content. It’s about doing more with the content and data already available.
Organizations seeing the most value are connecting AI to the systems that power real work. They are moving beyond experimentation and building AI into their workflows.
OpenText Experience Aviator supports this shift by embedding AI across the experience stack—communications, content, and operations.
Put customer experience AI to work
AI delivers the most value when it is part of how work gets done every day.
OpenText Experience Aviator helps teams move from isolated AI use cases to fully integrated, operational AI across customer experience workflows.
Learn how to put customer experience AI to work
