How to unlock decades of buried expertise

Your organisation has spent years accumulating knowledge. Most of it is buried where no one can reach it.

Every organisation has the same problem. Decades of reports, contracts, manuals, specifications and policies, stored across shared drives, email archives and legacy systems, in formats that were never designed to work together. The information exists. But accessing it quickly, accurately and at scale remains beyond the reach of most teams.

Large language models appear to offer an obvious solution. In practice, pointing an LLM at a pile of documents and hoping for useful output is a route to hallucination, inconsistency and eroded trust. Getting genuine value out of your document estate requires a more disciplined approach: curation, closed-environment inference, structured archetypes, and careful model selection.

This session will show you what that approach looks like in practice, drawn from Onepoint’s work across defence, financial services, professional services and other document-intensive industries.

Our speakers, Chris Wray, Allan Schweitz and Gil Fernandes, lead Onepoint’s document intelligence practice. They bring together strategic, technical and delivery expertise developed across complex, real-world engagements where the stakes of getting knowledge management wrong are high.

Questions our speakers will address:

• Why most LLM document projects fail and how to build one that does not. The difference between feeding documents to an LLM and building a curated knowledge ontology that eliminates hallucination and produces outputs you can trust.
• From passive archive to active advisor. How interactive smart advisors use your existing document estate to generate diagnostic reports and answer complex questions without expensive professional consultation for every query.
• Transforming legacy documentation for the AI era. How organisations in aerospace, defence, construction and regulated industries are converting unstructured document libraries into structured XML, enabling repurposing into training materials, storyboards and new content at scale.
• Keeping sensitive documents secure. Why running AI on classified or commercially sensitive content demands on-premise or private-infrastructure models and how to select the right model for your budget.
• Where the human still leads. Automation is accelerating. But knowledge curation, expert validation and business judgement remain irreplaceable. The session will set out clearly where AI amplifies human expertise and where the human must remain in charge.

Document management is no longer a storage problem. It is a knowledge activation problem, and the organisations that solve it first will have a structural advantage over those that do not.

Join us for a free, one-hour session in July. Attendees will have the opportunity to see a live demonstration and to discuss a short discovery workshop tailored to their own document estate.

Date: Wednesday, 8th July 2026

Time: 9.00am to 10.00am