Wednesday October 14th, 2026, 11:00-11:45 AM EDT
RESERVE YOUR SEAT
Participants will learn:
- Why pointing AI at an organisation’s existing documents does not automatically produce reliable answers
- How taxonomy, metadata, controlled vocabulary and source validation can transform raw content into an AI-ready knowledge library
- How provenance and traceability help users understand where an AI-generated recommendation came from
- How agentic AI can support complex assessments without removing human oversight
- What distinguishes a contained AI experiment from an approach designed to scale across programmes and use cases
Moving from AI experimentation to trusted implementation
Public-sector organisations are moving beyond AI experimentation and beginning to apply AI to real operational challenges. But deploying an AI tool is not the same as building a system people can trust. When decisions involve public funds, complex programme rules and incomplete information, an answer that simply looks right is not enough.
In this webinar, Levio experts Stephen Karam and Mohamed Shaheen will explore how information architecture, validated source material and decision traceability can provide the foundation for reliable, scalable agentic AI. We will demo how an AI-enabled grants and contributions assessment approach can help officers process applications more efficiently while preserving human judgement, accountability and the ability to trace recommendations back to their sources.