A Data Leaders' Framework for Enterprise AI

Most enterprise AI initiatives don't stall because models are inadequate. They stall because agents don't know enough about your organization to give you answers you can trust. This whitepaper introduces a four-layer architecture (definitions, knowledge, reasoning, and guardrails) for building the context control plane that production AI requires and explains why orchestration is the right place to build and govern that context.

You’ll learn:

• What's actually causing your AI agents to return wrong answers, and how each of the four context layers fixes it
• Why your existing data pipelines and agentic workflows need to work together, and how Airflow connects them
• How to use the included maturity assessment to identify your biggest context gap and prioritize where to start

Plus, you’ll get a self-assessment to help you identify exactly where your organization stands today.