See what structured, evidence-based AI governance looks like when it is done well. Explore a complete governance workspace. Then build the same for your own organisation.
No login required. No credit card. The demo is a complete fictional governance workspace from the book "AI Accountability: De Valkuil."GCV is a fictional urban-forestry scale-up with three AI systems, seven governance roles, and a question the auditor will ask: can you prove your AI governance position?
The demo shows how the answer is built: decisions made, evidence collected, gaps disclosed, board briefed, audit prepared. Not everything is green. That is the point. Good governance is not perfection. It is defensibility.
Every screen is pre-filled with realistic governance data. Not a tutorial. A working workspace.
A Computer Vision Module needs approval. The team runs a decision gate. The result: conditional proceed, with named conditions, named owners, and a review date. Not a rubber stamp.
109 controls assessed. Evidence scored across 7 dimensions. Gaps identified, owned, and disclosed. The auditor will find nothing that the Board Risk Summary did not already reveal.
Board Risk Summary. Audit interview preparation. 90-day roadmap. Talking points. Forensic Exposure Report. 17 governance outputs, each board-ready.
A vendor says "our model is audit-ready." The team asks five questions, identifies evidence gaps, and drafts contract clauses. The claim becomes a negotiation, not an acceptance.
Four AI advisors who have studied the case. Ask Ravi what not to claim. Ask Alice where the evidence chain breaks. Ask Samantha how to brief the board. Ask Evan what inaction costs.
After exploring GCV, one button: "Create this for my own organisation." Everything you saw in the demo, built from your own context, your vendors, your evidence, your documents.
Every governance question is examined from four angles. The result is not a generic answer. It is a structured draft position: facts, assumptions, evidence gaps, validation needs, and next actions.
"What does this actually mean for the organisation?"
"Can we prove this works the way they say it does?"
"What obligations, risks, and validation points matter?"
"What is the real cost, benefit, and trade-off?"
In AI governance, certainty is often unavailable. But defensibility is possible. A defensible position shows:
That is the difference between sounding cautious and being useful.
The demo is a complete workspace. Pro is the same product, with your own data.
Full Green Canopy Ventures workspace from the book. 3 AI systems, 17 governance outputs, evidence tracking, board briefs. 5 guided advisor interactions. No login required.
Explore demoYour own governance workspace. Full advisory team, all decision and evidence workflows, document analysis, OSINT intelligence brief, full export (Word, Markdown, JSON, CSV, PDF). Monthly, cancel anytime.
Upgrade to ProAI Control Index helps you prepare drafts, questions, briefings, and reasoning. It does not provide legal, audit, security, or compliance opinions. That boundary matters.
Export or delete everything anytime. No tracking. No analytics. Self-hosted fonts. Zero third-party scripts.
Overclaim detection, assurance linting, confidence marking, and validation needs on every high-stakes output.
A vendor claim. A board question. A privacy concern. An audit. Walk in with a defensible position.
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