The governance wiki · working reference

The vocabulary of shipping AI.

Every term the method depends on — the 6 Pipes, the mechanisms that enforce them, and the regulation they answer to. Defined plainly, cross-linked to the framework and the cases, and queryable by AI where it gets technical.

Pipe 1 · The 6 Pipes
Constrained Identities
aka the keyring · least-privilege

Agents run on least-privilege service accounts; no agent inherits human access. Destructive actions are blocked at the keyring, not by instruction — so a misbehaving or prompt-injected agent can't reach what it was never granted. Prevents an oversized blast radius.

In the framework →Najm Insurance →
Pipe 2 · The 6 Pipes
Attributable Actions
aka the ledger · audit trail

Every call, path and output is logged to an append-only ledger and is traceable — and reversible — in under 30 seconds. Prevents the "we don't know why it did that" audit failure. The trail is built to survive a regulator, not satisfy a dashboard.

In the framework →Govt of India / NMML →
Pipe 3 · The 6 Pipes
Human-in-the-Loop Gates
aka oversight gates · approval workflows

High-stakes actions block until a human authorization token clears. The agent cannot execute irreversible financial or legal tasks alone. Prevents legally binding action without oversight — gates designed to satisfy the EU AI Act without killing velocity.

In the framework →De Lijn →
Pipe 4 · The 6 Pipes
Kill Threshold Monitoring
aka the kill switch · auto-suspend

Cost, velocity and error telemetry with automatic suspension on breach. Prevents runaway loops and cost spirals — the agent runs free inside a boundary it cannot cross, and stops itself before damage rather than after.

In the framework →US Restaurant Intelligence →
Pipe 5 · The 6 Pipes
Legacy Insulation
aka safe connections · the gateway

Legacy systems are wrapped behind API gateways; the core is never touched directly. The agent works with insulated, hashed data feeds — not the systems of record. Prevents direct AI reach into core databases. AI that can't integrate with legacy never ships.

In the framework →
Pipe 6 · The 6 Pipes
Learning Loop
aka fixes & records

Every incident and human override updates the ADR library. The system's rules evolve from real failures instead of rotting — institutional memory, not patching. Prevents silent recurrence of the same failure.

In the framework →See: ADR ↓
Mechanism · framing
The Trust Engine
aka the four non-negotiables

The four guarantees that decide whether an agent touches production: can you constrain it, attribute it, gate it, and stop it? These are Pipes 1–4 — the Non-Negotiables. Pipes 5–6 make a governed agent survive a real enterprise.

The framework →Book · Ch 4 →
Mechanism · documentation
ADR
Architecture Decision Record

A record of why every significant architectural choice was made. The ADR library is your proof of rigor for a regulator and your institutional memory when the team turns over. The Learning Loop (Pipe 6) feeds it; auditors read it.

Book · Ch 5 →
Mechanism · containment
Agent Accountability Envelope
aka the envelope

The wrapper around each agent that carries its constrained identity, action ledger, authorization gates and kill thresholds together — the runtime expression of the pipes. Used in production at Najm to hold every agent to SAMA-grade governance.

Najm Insurance →Kleiber →
Regulation · EU
EU AI Act · Annex III
high-risk obligations

Risk-based classification of AI systems. High-risk (Annex III) obligations — risk management, logging, human oversight, transparency — apply from 2 August 2026. Penalties can reach €35M or 6% of global revenue. Operative but contested: subject to pending Digital Omnibus revisions — verify before citing.

Knowledge Hub →Book · Ch 3 →
Regulation · EU
GDPR · Article 9
special-category data

Special-category data — health, biometric, genetic — requires explicit consent or substantial public interest. In AI systems this surfaces as a consent-verification layer mapped to data governance. A live constraint at De Lijn's GDPR guardrails.

De Lijn →
Regulation · KSA
SAMA
Saudi Central Bank

Financial-services requirements in Saudi Arabia — among the strictest in the Gulf. Operating vision AI inside a SAMA-regulated environment means an agent reaching the wrong database is a breach, not a bug. Proven at Najm Insurance.

Najm Insurance →
Regulation · EU
DORA
Digital Operational Resilience Act

Operational-resilience obligations for EU financial entities, in force since January 2025. Shapes how AI systems in finance must handle failure, continuity and third-party risk — resilience as a regulatory requirement, not a nice-to-have.

Book · Ch 3 →
Regulation · posture
Zero Trust
never trust, always verify

A security posture where no actor is trusted by default and every access is verified. For agents it is the philosophical root of Constrained Identities: the agent earns each privilege explicitly, never inherits one.

See: Constrained Identities ↑
Process · lifecycle
The Governance Playbook
the 30-day sprint

A 30-day sprint from regulatory mapping to a production-ready, governed deployment: Foundations (days 1–10), Wiring (11–20), Readiness (21–30). The governance checklist is the operational artifact that closes it out.

Book · Ch 6 →Checklist →
Process · diagnosis
The 70% Problem
pilot-death

Roughly 70% of enterprise AI pilots die before production. The root cause is always a governance gap — not a model gap, not a data gap. The models work; nobody built the system around them.

Book · Ch 5 →Knowledge Hub →
Tooling · open source
Kleiber
the installable layer

The open-source layer that enforces the pipes in your agent runtime — constrained identities, a read-only ledger, authorization gates and kill thresholds, as code. aiplumber.dev is the method; Kleiber is the installable proof.

On the Knowledge Hub →
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