Generative AI

GenAI Governance: Policy to Incident Response, End to End.

9 documents for organisations deploying generative AI responsibly. From acceptable use policy to model risk assessment, output quality controls, and AI incident response: covering the full GenAI governance lifecycle.

ISO/IEC 42001:2023EU AI Act (GPAI)NIST AI RMF
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9 documents: ready to implement.

AIR-GENAI-001

Generative AI Acceptable Use Policy

Organisation-wide policy governing permitted and prohibited uses of GenAI tools and outputs

AIR-GENAI-002

GenAI Model Risk Assessment

Risk assessment template for evaluating generative AI models before deployment: bias, hallucination, security

AIR-GENAI-003

AI Vendor Evaluation Framework

Structured evaluation criteria for assessing GenAI vendors and API providers

AIR-GENAI-004

Prompt Engineering and Content Guidelines

Standards for prompt design, output review, and human-in-the-loop requirements

AIR-GENAI-005

GenAI Output Quality and Accuracy Framework

Controls for verifying, validating, and quality-assuring generative AI outputs

AIR-GENAI-006

AI Data Handling and Privacy Procedure

Data classification, minimisation, and privacy controls specific to GenAI inputs and outputs

AIR-GENAI-007

GenAI Incident Response Plan

Detection, containment, and remediation procedure for generative AI failures and harm events

AIR-GENAI-008

AI Use Case Register

Register for tracking approved GenAI use cases with risk rating and control requirements

AIR-GENAI-009

Staff Awareness and Training Guide

Practical guidance for staff on responsible GenAI use, risk awareness, and reporting obligations

What makes this different.

Covers the full GenAI lifecycle

From pre-deployment evaluation through acceptable use, quality controls, and incident response: every stage of the GenAI deployment lifecycle is covered.

Hallucination and output quality controls

AIR-GENAI-005 provides a structured framework for verifying GenAI output accuracy: critical for regulated and customer-facing applications.

Vendor and API evaluation built in

The vendor evaluation framework covers proprietary models, API providers, and open-source deployments: supporting informed procurement decisions.

ISO 42001 and EU AI Act aligned

Documents reference ISO 42001 Annex A controls and EU AI Act GPAI obligations, supporting dual compliance for organisations with international exposure.

Who this is for
Organisations deploying ChatGPT, Copilot, Claude, or other generative AI tools in business operations. Technology and compliance teams establishing GenAI governance frameworks. CISOs and risk managers managing generative AI risk.

FAQ

Yes. The acceptable use policy and use case register cover both employee-facing tools (e.g. Copilot, ChatGPT) and customer-facing AI applications.
Yes. The documents reference the relevant ISO 42001 Annex A controls and can be incorporated into an existing AI Management System.
Yes. The vendor evaluation and model risk assessment reference EU AI Act general-purpose AI model requirements under Article 53.
The Foundation Pack covers the complete ISO 42001 AIMS documentation. This pack focuses specifically on generative AI governance: it can be used standalone or alongside ISO 42001 documentation.

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