Review
AI only helps when the work can be checked.
We use AI around structured review: separating evidence from assumption, keeping decisions visible, and avoiding private process exposure.
Project evidence
We use AI where review matters.
The public work is practical and bounded: review, documentation discipline, workflow support, and decision support. Internal methods stay private.
What it is
Practical AI work with boundaries.
This page explains the public edge of how we use AI: review, workflow support, documentation discipline, and controlled process support.
Workflow support
AI around the work, not in place of judgement.
The work supports documentation, synthesis, and repeatable review habits while leaving human decision-making in control.
Process discipline
Bounded inputs and visible outputs.
The value is in clear framing, reviewable outputs, and disciplined handoff between tools, docs, and decisions.
Boundary
AI implementation boundaries
- No internal council mechanics.
- No private process details, prompt chains, routing, or proprietary methods.
- Not an AI agency claim.
- No automation-magic positioning.
- No replacement for judgement.
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