OpenText Content Aviator

OpenText Content Aviator is a generative AI surface shared across the Content catalog. It reads from Content Management, Documentum, Core Capture, and Industry Solutions repositories and produces grounded outputs and search results annotated with citations, document summaries, and natural-language Q&A backed by the repository's actual content.

Content Aviator's defining discipline is grounding. Answers come from the customer's controlled content, not from the base model's general knowledge, and every answer cites the source documents. For regulated customers (pharma, financial services, government) that distinction determines whether AI output is usable at all.

Permission awareness is the other defining property. Aviator inherits the underlying repository's access controls, so a user searching or asking questions never sees content they are not permitted to see. Merito's engagements start with the permission model and which repositories are in scope, who reads what, and what the audit trail looks like.

Merito has seen customers deploy grounded-AI tools, find that the AI returns content across permission boundaries, and pull the tool after one audit cycle. Grounding is only half of the problem; permission-awareness is the other half. Content Aviator is designed to inherit the repository's access controls, but that depends on the permission model being clean to start with.

Merito recommends adopting Content Aviator on one controlled repository with one named use case first. Measure the lift, validate the permissions, review the audit trail. Expand once the pattern is proven. Adopting across the whole Content catalog on day one is a failure pattern regardless of product quality.

For regulated customers, the audit trail requirement typically exceeds the product default. Merito's engagements include compliance sign-off as an explicit gate before go-live.