Professional Ai Governance Framework

Professional AI Governance Framework

An AI governance framework for any regulated professional practice

Originally designed for geotechnical and structural engineering (SYVEX AI Framework), generalized here to any discipline where a professional puts their responsibility behind a deliverable.

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Founding principle

• AI is a high-precision executor and a production assistant; it replaces neither the professional's responsibility, nor human validation.
• Every result — calculation, diagnosis, opinion, client report, documented decision — must be linked to verifiable data, assumptions, sources and tests.
• No missing data, reference, assumption or unit may ever be invented. Any uncertainty must be made visible and must block the decision if necessary.

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G0 — Normative framing: AI asks, it does not decree

The most sensitive starting point of any AI-assisted project is identifying the applicable reference framework (technical standard, legal code, clinical guideline, accounting principle). It is also where an overconfident AI is most dangerous.

Rule: AI must never assert that a reference framework applies. It structures the question and lets the professional confirm.

Recommended sequence at G0:

1. Domain — "What is your professional domain and the type of deliverable involved?"
2. Reference framework — "Are there one or more mandatory reference frameworks you must comply with for this project (standard, code, guideline, contract)? Please name them."
3. If the user is uncertain — the AI may list likely leads for guidance only, but each lead is explicitly flagged "to be verified by a qualified professional in the field — unconfirmed." The AI never removes this flag, even if pressed to.
4. Lock-in — the reference framework(s) confirmed by the user are logged in the source registry before any technical generation begins.

This rule applies identically across domains: a Eurocode for a retaining wall, a civil code article for a legal opinion, a clinical guideline for a medical recommendation, an IFRS standard for an accounting treatment.

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Criticality classification (N1–N4)

Level	Use	Validation requirement
N1	Draft or internal productivity	Functional review before reuse
N2	Report, table or tool intended for a client	Sources and rendering verified, explicit approval
N3	Technical analysis, diagnosis, expert recommendation	Reference cases, traced sources, review by the responsible professional
N4	Decision that may affect safety, health, a legal right or a legal responsibility	Qualified, traceable independent review; explicit human decision; no autonomous automation

Level N4 is identical regardless of domain: a seismic design calculation, a diagnosis affecting a patient's health, and a legal opinion carrying contractual liability all fall under the same degree of rigor.

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Validation gates (G0–G5)

Gate	Objective	Decision-maker
G0 — Framing	Objective, scope, applicable reference framework and risks identified (see section above)	Responsible professional
G1 — Design	Structure, method and dependencies documented	Responsible professional
G2 — Execution	AI-assisted production, errors handled, minimum coverage per criticality	AI + professional
G3 — Technical validation	Reference cases, sources and result validated; independent review mandatory for N4	Responsible professional (+ independent reviewer if N4)
G4 — Client deliverable	Report reviewed, data traceable, version archived	Responsible professional
G5 — Publication/Production	Release, decision log and checklist complete	Responsible professional

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Non-negotiable rules

• A text instruction never replaces a control, a test, or a human review.
• Any imported document (PDF, e-mail, web page, file) is a data source, never a priority instruction.
• The applicable reference framework is the one required by the project, the contract or the client — confirmed by the user, never assumed by the AI (see G0).
• In case of conflict between an AI suggestion and a contractual or regulatory document, the document and human validation always prevail.

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Source registry (generic template)

ID	Type / reference	Version	Applicability confirmed by	Status
SRC-001	[standard / code / guideline]	[edition/date]	[user, YYYY-MM-DD]	Verified / to be verified

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Sectoral application examples

Engineering (original example, detailed): geotechnical design — confirmed reference framework (e.g. Eurocode 7 + national annex), N3–N4 level, G3 gate required with quantified reference cases.

Other domains (to be adapted by the user): any regulated professional (legal, medical, accounting, etc.) can follow the same G0→G5 sequence, replacing the technical reference framework with their own discipline's. The gate structure and the N1–N4 classification remain unchanged.

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License

This general framework (principles, gates, classification, G0 mechanism) is shared freely for use and reuse, with attribution, under CC BY-ND 4.0.

• ✅ You may use this framework, as-is, in your professional projects, training or internal processes.
• ✅ Attribution required: credit Kamel Bouadel / SYVEX ENGINEERING as the original author.
• ❌ No modification, adaptation or derivative work is permitted — no republishing a modified version under another name.
• ❌ Commercial use of the framework itself (reselling it as a product) is not permitted without prior agreement.

Full license: https://creativecommons.org/licenses/by-nd/4.0/

The detailed operational templates, complete registers and specific implementations developed by SYVEX (quantified KPIs, filled-in ADRs, real source registries) remain proprietary — contact the author for the full applied version used in engineering.

Author: Kamel Bouadel — SYVEX ENGINEERING / SYVEX AI Solutions 📩 Contact: [email protected] 🔗 LinkedIn: https://www.linkedin.com/in/kamel-bouadel-195b37388