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Self-contained edition of the Governance Control Tower: grounded retrieval, mandated refusal, a seven-control policy gate, human review, and an audit trail - one HTML file, no backend, no model, no dependencies.

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Governance Control Tower

One HTML file. No backend, no build step, no model, no external dependencies.

The Governance Control Tower is a runnable AI governance demo: a governed pipeline — grounded retrieval, mandated refusal, a seven-control policy-as-code gate, human-in-the-loop review, and an append-only audit trail — expressed as deterministic JavaScript in a single page. Open index.html in any browser, or host it as one static file.

Run it: open index.html locally, or use the hosted copy on GitHub Pages: https://framework-optimization-lab.github.io/governance-control-tower/

What it does

Page What it demonstrates
Ask BM25 retrieval over a fictional operating playbook; answers bounded by retrieved passages with app-generated citations and a confidence tier; out-of-scope questions refused before any drafting, with a numeric reason. An "ungoverned baseline" toggle shows the failure mode being prevented.
Gate Decision records evaluated by seven deterministic controls → PASS / REVIEW / BLOCK with reasons. Four bundled scenarios (one clean, one review-routed, one triple failure, one should-have-refused); every field editable so you can watch the verdict move.
Review REVIEW-routed records queue for a named sign-off with a written rationale. A BLOCK cannot be overridden — it must be fixed at the source.
Dashboard Verdict mix, refusal rate, sign-off counts, and the full append-only audit trail (downloadable as JSON).
Playbook The bounded corpus: 11 fictional playbook passages and the 6-entry evidence registry every citation is checked against.

What's real and what's simulated

Everything governance-critical — retrieval, thresholds, confidence tiers, refusal, the seven controls, review rules, and audit events — is fully implemented, deterministic logic. Because the page runs with no backend and no model, three components are deliberately simple:

Component How this file implements it
Drafting layer Extractive — answers are sentences drawn verbatim from the retrieved passages. No language model is involved.
Storage Browser localStorage. Nothing leaves the page.
Ungoverned baseline A labeled deterministic simulation of an unconstrained answer, shown to illustrate the failure mode the gate prevents.

The seven controls implement the governance model enforced by ai-decision-governance-gate; the retrieval, confidence tiers, and refusal behavior follow the governance of governed-playbook-assistant.

All data is fictional and domain-neutral. Clean-room demonstration only.

About

Self-contained edition of the Governance Control Tower: grounded retrieval, mandated refusal, a seven-control policy gate, human review, and an audit trail - one HTML file, no backend, no model, no dependencies.

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