Contextualizing Agentic AI with Quantexa

Agentic AI is rapidly moving from experimentation to enterprise reality. Agentic and Copilot Platforms, like Microsoft Copilot and Foundry, 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.

You’ll see how organizations can ground agents in trusted, connected data, linking customers, transactions, relationships, and behaviours into a single contextual fabric. 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, noting all copilot technologies can benefit from real-world context.
• Why fragmented data is the biggest barrier to scaling agentic AI.
• How entity resolution and knowledge graphs 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.