Practical, adaptable AI policy templates and governance resources that help organisations establish clear rules for safe, responsible and accountable AI use.
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.
Define where, when and how employees may use approved AI tools.
Set clear rules for confidential, personal and sensitive information.
Clarify who remains responsible for AI-assisted work and decisions.
Define when outputs must be reviewed, challenged and approved by people.
Set expectations for supplier AI, embedded features and external tools.
Give employees clear routes for questions, exceptions and AI incidents.
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.
A practical way to establish consistent AI rules across the organisation without leaving employees, managers and business teams to interpret acceptable use for themselves.
Give employees clear guidance on what AI use is permitted, restricted or requires approval.
Make clear that responsibility for work, decisions and outcomes does not transfer to an AI tool.
Set practical boundaries around confidential, personal, sensitive and commercially valuable information.
Help people use approved AI productively without relying on guesswork about what is acceptable.
Connect policy expectations to approvals, risk management, controls, monitoring and escalation.
Create documented expectations that can support governance reviews, assurance, audit and regulatory readiness.
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.
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.
Formal policy focuses on traditional AI projects while employees are already using generative AI, embedded AI features and third-party tools in everyday work.
Employees have not been trained, managers do not know how to enforce expectations and exceptions, incidents or policy breaches have no clear escalation route.
Build a policy environment that addresses the different ways AI enters the organisation, is used by employees and affects business processes, information and decisions.
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.
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 ConsultationAn 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.
Establish clear, practical AI policies that define what is permitted, who is accountable and how employees should use AI safely and responsibly across your organisation.
Take Assessment Book ConsultationConnect your AI policies to the wider governance, risk, compliance and assurance arrangements needed to make organisational expectations work in practice.