At AMUG 2026, partners and customers took the stage to share how they are addressing real business requirements with Content Management and Module Suite. Their presentations moved beyond product features to show what implementation looks like in practice, from exploring AI use cases at scale to making service processes faster and easier to manage. Here are some of the highlights.
Doctra: Putting AI to work across content and processes
Our trusted partner Doctra presented three AI use cases developed through recent proof of concept projects with mutual customers.
The first, for a financial services organization, connects a RAG chatbot to Microsoft Copilot so brokers can ask questions about customer files through a familiar interface. The chatbot draws on emails, attachments, and metadata in Content Management, uses relationships between records to find relevant information, and respects the existing permission structure In an environment with millions of business workspaces and a high volume of new documents, the team explored how to combine search and AI efficiently at scale.
The second use case analyzes contracts to identify clauses covering risks such as force majeure, embargoes, and new taxes. It groups variations in wording across languages and regions, then helps teams see which products and supply chains may be affected so they can respond earlier.
The third, RegBot, checks newly created documents against a defined set of regulatory documents. It highlights passages that may violate requirements, identifies missing paragraphs, and provides suggested changes as comments in Word.
IXTENT: Transforming service calls at TOS Varnsdorf
IXTENT shared the journey of mechanical engineering company TOS Varnsdorf, which began by bringing previously unmanaged content into a central Content Management repository and then expanded its use of the platform across business processes. Its service call process became a particularly valuable opportunity for automation with Module Suite.
The implemented solution dynamically generates reports and documents in different languages, uses metadata and form inputs to populate them, and applies custom calculations for items such as travel costs and time spent. It also supports manager approval and produces different document versions for internal teams and customers.
The project reduced workflow effort by 60% and shortened work that once took days or weeks to minutes or hours. With a calculated return on investment of under 12 months and positive feedback from more than 90% of customers surveyed, the use case showed how process improvements can benefit both the organization and the people it serves.
Nuca Systems: The three ways OpenText estates get slow
Nuca Systems’ presentation explored three recurring performance issues in OpenText environments.
Storage and archive I/O: document saves were much slower in production than in test, although the archive engine itself was fast. The cause lay in the storage mount settings, making configuration the first place to look for a fix, highlighting the importance of checking configuration before investing in additional hardware.
Database round trips: individual queries were fast, but a single save generated thousands of statements, allowing network latency to accumulate into a delay of tens of seconds. Reducing unnecessary statements and commits, and checking the connection between the application and database, addressed the underlying issue.
Search and browse: as content volumes grew, fragmented indexes, oversized containers, and costly interface queries slowed everyday interactions. Regular index maintenance, better structured containers, and simpler default views were among the recommended improvements.
Across all three cases, Nuca Systems emphasized a consistent approach: measure the source of the delay, address the root cause, and use the same metrics to verify the improvement.
