AI Governance & Responsible Management System (AIGMS)

The AIGMS documents the complete management cycle — establish, operate, audit, improve — in five working layers:

• Govern — the AI Governance Manual, a governance charter and a policy layer running from acceptable use and procurement to generative AI, transparency and human oversight.
• Operate — procedures with matched forms for every recurring decision: use-case approval, classification, risk and impact assessment, vendor due diligence, model change, agent authorisation and retirement.
• Record — a fifteen-register workbook (AI systems, use cases, risks, incidents, vendors, obligations, evidence and more), sixteen audit checklists and a KPI catalogue.
• Assure — a control library of 163 AGS-authored controls, internal audit and management review packs, and an AI Statement of Applicability.
• Embed — role-based training modules, an implementation roadmap and topic indexes that gather every artefact by discipline.

Coverage extends to the questions that arrive after the policies are written: generative AI use and risk, workforce tool approval, AI agent authorisation, shadow-AI discovery, model cards, fairness testing, human rights and sustainability impact, business continuity and fallback, and complaint handling with human review. Every document uses consistent square-bracket placeholders, follows a single numbering scheme and is listed in a master document register; the risk method rests on a 76-item AI risk taxonomy, and an evidence pack index ties each record back to the claim it supports.

The daily user is whoever holds the AI governance officer role, formally appointed or not yet. Around that role, the manual, policies and KPI catalogue serve executives and the governance committee; the assessment forms serve AI system owners; the checklists and control library serve internal auditors; and the obligation register and regulatory change procedure serve legal and compliance.

The system is sector-neutral and scales from an organisation whose entire AI footprint is a handful of SaaS tools — the most common case, and the one most often ungoverned — to a group building and deploying its own models. AGS also publishes a policy-layer AI governance package and a single-standard ISO/IEC 42001 toolkit, and both remain the right choice where the need is narrower. The AIGMS sits above them: the full-stack system for organisations that want the entire discipline — governance, risk, assurance and training — from one coherent source.