Working Papers
Longer-form papers for executive review. Each one takes a single problem of the AI era and works it end to end, with multi-source research and clear takeaways. These three are companions to the essay The ABCs We Must Learn: AI, BI, and CI.
Building the Context Layer Inside People Operations
The foundation for HR AI that works in production
HR AI works in the demo and dies in production because case, resolved, and worker are contested definitions no one wrote down. A practitioner's blueprint for the machine-readable foundation agents need, the priority order to build it, and a 60 to 90 day start.
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The Global Process Owner in an Agentic World
From doing the process to certifying the agents that run it
As agents absorb the doing, the process owner's job moves up to the three things no agent owns: accountability, ground truth, and judgment. The role splits in two, and the half that certifies, curates, and judges grows.
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How Content and Knowledge Teams Evolve
From writing documents to owning the context agents run on
The reader changed: agents are approaching half of documentation traffic. The unit changes from the document to the context product, the economics flip both ways, and the content team is quietly losing the fight over who owns the context layer.
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C²: The Agentic Multiplier
Content × Context: why pilots die between demo and deploy
Agent readiness multiplies rather than adds: Content maturity times Context maturity, where a zero on either axis means zero useful output. Two ladders of five levels, a 2×2 of named failure modes, and a three-phase path. Also lives in Thought Leadership, where it has its own diagnostic.
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The argument these papers build on: why enterprise transformation needs all three of AI, Business Intelligence, and Context Intelligence, and where to start.
Read: AI, BI, and CI