INTAI Solutions / Governance Resources

AI Policy Library

Practical, adaptable AI policy templates and governance resources that help organisations establish clear rules for safe, responsible and accountable AI use.

What is an AI Policy Library?

The INTAI AI Policy Library provides practical policy templates and supporting governance resources that help organisations set clear expectations for how artificial intelligence should be selected, accessed, developed and used.

It helps translate broad governance principles into understandable organisational rules covering areas such as acceptable AI use, generative AI, data protection, confidentiality, human oversight, third-party tools, accountability and escalation.

Policies can be adapted to your organisation’s operating model, sector, workforce, technology environment and risk profile, providing a strong starting point without relying on generic templates that do not reflect how your organisation actually works.

AI policy foundations
Acceptable Use

Define where, when and how employees may use approved AI tools.

Data Protection

Set clear rules for confidential, personal and sensitive information.

Accountability

Clarify who remains responsible for AI-assisted work and decisions.

Human Oversight

Define when outputs must be reviewed, challenged and approved by people.

Third Parties

Set expectations for supplier AI, embedded features and external tools.

Escalation

Give employees clear routes for questions, exceptions and AI incidents.

How the AI Policy Library Works.

The AI Policy Library helps organisations build a coherent set of AI policies that reflect real business use, connect to existing governance and remain practical for employees to follow.

Identify which AI policies your organisation genuinely needs.
Adapt policy templates to your workforce, tools, risks and operating model.
Define clear rules for approved use, restricted use and prohibited activity.
Align policies with governance, risk, security, data and compliance processes.
Communicate policies through practical guidance, training and examples.
Review and update policies as AI use, technology and organisational risk change.

Why Organisations Use the AI Policy Library.

A practical way to establish consistent AI rules across the organisation without leaving employees, managers and business teams to interpret acceptable use for themselves.

Clearer AI rules

Give employees clear guidance on what AI use is permitted, restricted or requires approval.

Consistent accountability

Make clear that responsibility for work, decisions and outcomes does not transfer to an AI tool.

Safer data handling

Set practical boundaries around confidential, personal, sensitive and commercially valuable information.

Better employee confidence

Help people use approved AI productively without relying on guesswork about what is acceptable.

Stronger governance alignment

Connect policy expectations to approvals, risk management, controls, monitoring and escalation.

Greater readiness for scrutiny

Create documented expectations that can support governance reviews, assurance, audit and regulatory readiness.

Common AI Policy Challenges.

AI policies often fail when they are too generic, disconnected from everyday work or treated as documents to publish rather than expectations that need to be understood and applied.

01
The policy is too vague

Employees are told to use AI responsibly but are not given clear guidance on approved tools, sensitive information, output review or when approval is required.

02
The policy does not match real AI use

Formal policy focuses on traditional AI projects while employees are already using generative AI, embedded AI features and third-party tools in everyday work.

03
Policies exist but are not embedded

Employees have not been trained, managers do not know how to enforce expectations and exceptions, incidents or policy breaches have no clear escalation route.

What the AI Policy Library Can Cover.

Build a policy environment that addresses the different ways AI enters the organisation, is used by employees and affects business processes, information and decisions.

Enterprise AI
Generative AI
Acceptable Use
Data & Privacy
Human Oversight
Accountability
Third Parties
Approved Tools
Incidents
Training
Compliance
Policy Review

AI Policy Library Resources.

The library provides a practical foundation for building and maintaining an organisation-specific AI policy environment, with resources that can be adapted to your governance structure, risk profile and ways of working.

Enterprise AI and acceptable use policy templates.
Generative AI, data handling and confidentiality guidance.
Human oversight, accountability and output review requirements.
Third-party AI, approved tool and escalation provisions.
Policy implementation, communication and review guidance.
AI Policy Library resources
AI POLICY ASSESSMENT™

Will Your AI Policies Work in Practice?

Take the AI Policy Assessment™ to understand whether your organisation has clear, complete and practical policies for AI use, with the ownership, communication and enforcement needed to make them effective across the business.

Take Assessment Book Consultation

Frequently Asked Questions.

An AI Policy Library is a collection of practical policy templates and supporting governance resources that help organisations establish clear rules, responsibilities and expectations for how artificial intelligence should be selected, accessed, developed and used.

Formal AI policies help organisations communicate what is permitted, what requires approval and what responsibilities apply when employees, suppliers or business functions use AI. They reduce uncertainty and create a consistent foundation for governance and accountability.

Depending on the organisation, an AI Policy Library may include an enterprise AI policy, acceptable use policy, generative AI policy, data and confidentiality rules, human oversight requirements, third-party AI controls, development standards, incident procedures and supporting guidance.

Policy templates should normally be adapted to the organisation's operating model, risk profile, technology environment, workforce, sector and legal obligations. A template provides a strong starting point but should not be treated as a substitute for organisation-specific governance decisions.

An AI policy defines organisational rules and expectations. An AI governance framework is broader and defines how AI is overseen, who makes decisions, how risks are assessed and how controls operate across the AI lifecycle.

Yes. Policies can address the use of generative AI tools, including approved services, confidential information, data handling, output review, human accountability, intellectual property, external sharing and the use of AI-generated content.

AI policies should be reviewed regularly and whenever there are significant changes in AI use, technology, organisational risk, regulation, supplier arrangements or internal governance expectations.

Ownership depends on the organisation, but AI policies usually require coordinated input from executive leadership, AI governance, legal, compliance, risk, technology, information security, data, HR and relevant business functions.

Yes. Well-designed policies help establish documented expectations and responsibilities, but they should be supported by operational controls, evidence, training and governance processes to demonstrate that the requirements are being followed in practice.

Policies should be supported by clear communication, role-relevant guidance, practical examples, training and accessible escalation routes so employees understand not only the rules but how to apply them in everyday work.

The AI Policy Library supports the wider INTAI governance approach by translating governance expectations into clear organisational rules that can be connected to governance frameworks, risk assessments, approval processes, controls and assurance.

Yes. INTAI can help organisations select the policies they need, adapt templates to their operating environment, align them with existing governance and controls, support internal approval and help embed the policies through practical implementation.

Related Solutions.

Connect your AI policies to the wider governance, risk, compliance and assurance arrangements needed to make organisational expectations work in practice.

Framework The INTAI Governance Framework

Establish the accountability, decision rights, oversight and controls that give your AI policies an effective governance foundation.

Toolkit AI Governance Toolkit

Put AI governance into operation with practical templates, registers, assessment tools, control resources and implementation guidance.

Responsible AI Responsible AI

Translate responsible AI principles into practical expectations for fairness, accountability, oversight and appropriate use.

Assessment AI Policy Assessment

Assess whether your AI policies are complete, practical, understood and supported by clear ownership and effective implementation.

Compliance AI Regulatory Advisory

Understand how evolving AI requirements affect your organisation and where policies, governance and controls may need to change.

Assessment AI Governance Assessment

Assess the wider governance arrangements needed to support effective AI policies, accountability, controls and lifecycle oversight.

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