framework
Graded Control: Size the Leash to the Task
Most enterprises govern every AI agent with one flat rule: locked down or fully trusted. Graded control replaces the binary with a leash sized to each task's risk.
Frameworks
Models & decision tools
Named, reusable models built to be used in the room: cited, shared, and argued with. The spine of the whole publication is the maturity journey:
- Stage 01
Awareness
AI is understood, not yet used. Curiosity outruns capability.
- Stage 02
Productivity
Individuals get faster, but value stays trapped at the desk. The Stage 2 Ceiling.
- Stage 03
Context to Intelligence
The organization feeds AI its own context. Work is redesigned, not just tasks.
- Stage 04
Humangentic
Human judgment and agentic execution compound. The organization runs on both.
framework
The Delegation Decision
74% of leaders plan to deploy AI agents; only 21% have the governance to match. A three-way call, fully delegated or human-in-the-loop or never automated, closes that gap before an invoice does.
framework
The Stage 2 Ceiling
Why so many AI programs feel busy and change nothing: individuals get faster, but the value never leaves the desk. The most expensive place to be comfortable.
framework
The 4-Stage AI Maturity Journey
Every organization adopting AI climbs the same four stages: awareness, productivity, context to intelligence, and humangentic. Most stall at the second. Here is the map, and what it takes to keep climbing.