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How to advance from documents to decisions: practical steps to scale

AI pilots are easy. Accurate AI at scale is brutal. But where to start?

Most organizations believe they are progressing with AI. In reality, they are building AI debt on pilots that will never scale.

Where does your data come from? Nearly 69% of organizations cannot make fully informed decisions due to poor data quality. Fewer than 9% consider themselves genuinely AI-ready.

Skip the groundwork, and you hit an agentic trap: unreliable outputs, rising exceptions, manual intervention creeping back in. Even prepared data creates no value alone. An agent or chatbot needs to be able query and use the data to unlock its value.

This session turns a five-area readiness check: data structure, workflow integration, AI application, governance, data access and scalability, into a concrete plan: what to fix first, what to defer, what to avoid. You will see the journey in four stages: from unstructured inputs, through transformation, to connected workflows where value is created, to the advantages that follow. You will also see how governed data reaches the warehouse, lakehouse, or agent layer built to use it.

Join Tom Coppock, Sr. Director, AI Strategy & Research, to learn how to:

  • Assess your position across the five critical areas, and see where you stand
  • Spot unreliable outputs and rising exceptions before automation at scale breaks down
  • Get your data to the AI agents or chatbots for accurate, trusted results
  • Build the roadmap to delivering value, from unstructured documents to where advantages are realized at scale
  • Turn your existing data output into your competitive edge

Register now and advance from documents to decisions by turning readiness into a roadmap you can act on.

Tom Coppock
by Tom Coppock Senior Director, AI Strategy & Research

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