From Hype to How
The CIO's Guide to Context Graphs
A practical roadmap to capture decision traces, build institutional memory, and move AI from pilots to production – without waiting for perfect agents.
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INSIDE THE GUIDE
Inside the guide
The Problem
AI Programs Stall Without Context
95% of AI pilots fail in production – not because models aren't smart enough, but because they lack the context to act reliably. Even the best models won’t scale if decisions live in Slack threads, people's heads, or documents no one ever sees.
For AI to work at scale, those decisions – and the rationale behind them – must be findable. Context graphs make it possible.
Get the EbookThe Solution
The CIO's Principles
Start where you are, not where you wish you were.
Begin with human-in-the-loop processes and a small problem set.
Build institutional memory that compounds.
Minimum Viable Decision Traces (MVDTs) turn exceptions into standards.
Prove value in 90 days, then scale.
Execute a workflow, show impact, and expand with repeatable playbooks.
Federate ownership, centralize infrastructure.
Implement a context layer with domain-specific context graphs.
Make adoption inevitable, not mandated.
Embed precedent search where teams already work so logging isn’t a chore.
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