Contextualizing Agentic AI with Quantexa & Microsoft

Agentic AI is rapidly moving from experimentation to enterprise reality. Agentic and Copilot Platforms, like Microsoft Copilot and Foundry in conjunction with the rapid evolution of the context layer, are already changing how teams act on insights.

But real business value depends on grounding those agents in the knowledge of your organisation.

In this session, we’ll showcase a real-world example, demonstrating how Quantexa and agent frameworks combine to move beyond isolated AI agents into fully contextual, decision-driven systems.

With reference to some banking-based examples and built on Microsoft and Quantexa architectures, you will see how organizations can ground agents in trusted, connected data, linking customers, transactions, relationships, and behaviours.

This enables agents not just to respond, but to reason, plan, and act against complex, multi-step business problems.

During a live walkthrough, we’ll explore:

• How to bring real-world context into Copilot and agent frameworks.
• Why fragmented data is the biggest barrier to scaling agentic AI.
• How entity resolution and knowledge graphs through real-world context enable more accurate, explainable decisions.
• What “agentic AI in production” looks like across customer intelligence, risk, and operations

Whether you’re exploring agentic AI or looking to industrialise it, this session will give you a practical blueprint for turning AI experimentation into enterprise-wide outcomes.