Free template

    AI policy template for consultancies

    A free AI acceptable use policy for consultancies and professional services firms in the UK. Thirteen sections and two registers, each with a guidance note, covering what generic templates miss: client confidentiality, engagement terms, keeping clients' information apart and disclosure in deliverables. Copy it, replace the highlighted text and adapt it to your obligations.

    Sections, each with a guidance note
    13
    Registers: approved tools and client restrictions
    2
    Read it here, copy it, no form to fill in
    Free

    Last checked 21 October 2026. General information, not legal advice.

    01Start here

    How to use this AI policy template

    Most AI policies fail in one of two ways. Either they ban everything, and people carry on using their own accounts where nobody can see, or they say "use AI responsibly" and leave every real question unanswered. This template tries to avoid both. It names approved tools, says what information may go into which of them, and gives every question a named owner.

    1. Approve at least one AI tool on a business or enterprise account before you publish the policy, and list it in Appendix A. A policy with nothing approved pushes use underground.
    2. Name the people in section 2. In a small firm one person may hold several roles; what matters is that nobody has to guess whom to ask.
    3. Read your client contracts and engagement letters for AI, subcontracting and data location terms, and record any restrictions in Appendix B.
    4. Add the rules of any professional or chartered body your people belong to. RICS, for example, has had a mandatory standard on the responsible use of AI in surveying practice in effect since 9 March 2026.
    5. Brief everyone, keep a record that each person has read it, and put the first review date in the diary.

    The highlighted text in square brackets is for you to replace. The guidance notes explain why each section is there; delete them from the version you circulate. This is general information, not legal advice.

    02Why a consultancy is different

    What a consultancy's AI policy needs that a generic one misses

    Most free AI policy templates are written for a business protecting its own data. A consultancy or professional services firm spends its day handling other people's. That changes what the policy has to cover.

    • Client terms come first. An engagement letter, NDA or supplier code may restrict AI, subcontracting or where data is processed, and the policy has to make someone check (section 6).
    • Clients' information must stay apart. A shared prompt library, project space or custom assistant can carry one client's material into another client's work (section 6).
    • Advice carries professional responsibility. Responsibility for AI-assisted work does not transfer to the tool, and high-risk outputs need a second qualified reviewer (section 7).
    • Clients increasingly ask how you use AI. A clear position on disclosure in deliverables saves an awkward conversation later (section 8).
    • You may be your client's processor. When you handle personal data on a client's behalf, you may only use AI on it in line with their written instructions (section 5).
    • Professional bodies are adding their own AI rules, which sit on top of the law (section 1).
    03The template

    The AI acceptable use policy template

    Thirteen sections and two registers. Replace the highlighted text; the guidance notes are for you, not for circulation.

    [Firm name] AI acceptable use policy

    1. Purpose and scope

    1. 1.1This policy sets out how everyone who works for or on behalf of [Firm name] may use artificial intelligence (AI) tools, in our own work and in work for clients.
    2. 1.2It applies to partners, directors, employees, associates, contractors and subcontractors, on firm and personal devices, whenever they handle firm or client information.
    3. 1.3"AI tools" means any software that generates or transforms text, images, audio, code or analysis using machine learning. That includes chat assistants such as ChatGPT, Claude, Gemini and Copilot, AI features inside software we already use, meeting transcription and note-taking tools, and AI agents that can take actions in other systems.
    4. 1.4This policy sits alongside our [data protection policy], [information security policy], the confidentiality terms in our client contracts and the rules of [professional bodies]. Where they conflict, the stricter rule applies.

    2. Roles and responsibilities

    1. 2.1[AI lead, name and role] owns this policy, keeps the approved tools register (Appendix A) and decides requests for new tools or new uses.
    2. 2.2[Data protection lead] advises on any use involving personal data and decides when a data protection impact assessment (DPIA) is needed.
    3. 2.3Engagement leads are responsible for AI use on their engagements, including checking client terms under section 6.
    4. 2.4Everyone who uses an AI tool is responsible for what they produce with it.

    3. Approved tools

    1. 3.1Use only the AI tools listed in Appendix A, on the account type listed there (the firm's business or enterprise account, not a personal or free account).
    2. 3.2Do not use personal AI accounts for firm or client work. Depending on the provider and the settings, consumer accounts may keep what you enter or use it to improve their models, and the firm cannot control either.
    3. 3.3To request a new tool, or a new use of an approved tool, contact [AI lead]. Requests are assessed for data handling, security, contract terms and cost, normally within [10] working days.
    4. 3.4Browser extensions, plug-ins and AI features switched on inside other software count as new tools.

    4. What information may go into an AI tool

    1. 4.1Public information (published material, public websites): any approved tool.
    2. 4.2Internal firm information (methods, templates, internal documents without personal data): approved tools on firm accounts.
    3. 4.3Client confidential information: only tools marked for client data in Appendix A, only where the client's terms allow it (section 6), and only as much as the task needs. Remove names and identifying details where you can.
    4. 4.4Personal data: only tools marked for personal data in Appendix A, and only after [Data protection lead] has confirmed the lawful basis and any DPIA (section 5).
    5. 4.5Never, unless [AI lead] and [Data protection lead] have approved it in writing: special category personal data (such as health, ethnicity, religious beliefs or sexual orientation), criminal offence data, passwords and credentials, inside information, legally privileged material, or information a client has told us must not be used with AI.

    5. Personal data and decisions about people

    1. 5.1Before using an AI tool to process personal data in a new way, contact [Data protection lead]. The firm will identify a lawful basis, update privacy information where needed, and complete a DPIA where the processing is likely to result in a high risk to individuals.
    2. 5.2Where we process personal data on a client's behalf, we use AI tools on it only in line with the client's written instructions and our data processing agreement with them.
    3. 5.3Do not use AI tools to make decisions about individuals, such as shortlisting candidates or assessing performance, without meaningful human review, and only after [AI lead] and [Data protection lead] have approved the use.
    4. 5.4Any AI provider that handles personal data for the firm must have a data processing agreement with us, and any transfer outside the UK must be covered.

    6. Client engagements

    1. 6.1Before AI tools are used on a client's information, the engagement lead checks the engagement letter, contract, NDA and any client policies for restrictions on AI, subcontracting, data location or third-party processing.
    2. 6.2If a client restricts or prohibits AI, follow the restriction and record it in Appendix B. If the terms are silent, [our default, for example: tell the client how we will use AI before we use it on their confidential information].
    3. 6.3Keep each client's information separate. Do not put one client's material into prompts, projects, custom assistants or knowledge bases used for another client.
    4. 6.4Do not use client information to build shared tools, prompt libraries or templates unless the client has agreed or the information has been fully anonymised.

    7. Checking outputs and accountability

    1. 7.1You are accountable for work produced with AI assistance as if you had produced it yourself.
    2. 7.2Check every output before it is used: facts, figures, calculations, quotations and references. AI tools can produce answers that are confident, plausible and wrong.
    3. 7.3Never present unchecked AI output as professional advice, an opinion or a finding.
    4. 7.4AI-assisted work in [high-risk areas, for example regulatory, legal, financial or valuation work] is reviewed by a second, suitably qualified person before it is released.
    5. 7.5Watch for bias in outputs about people or groups, and raise concerns with [AI lead].

    8. Transparency and disclosure

    1. 8.1We tell clients how we use AI in delivery when they ask, and without being asked where AI materially shapes a deliverable or the client's terms require it.
    2. 8.2Where people interact directly with an AI system we provide, such as a chatbot on our website, we make clear that it is AI.
    3. 8.3Do not create AI images, audio or video of real people without their consent, and label AI-generated or altered media that could be mistaken for real.
    4. 8.4Tell participants at the start of a meeting if an AI tool is recording or transcribing it.

    9. Intellectual property and third-party material

    1. 9.1Do not put licensed third-party material (paid reports, databases, other firms' documents) into AI tools unless the licence allows it.
    2. 9.2Check outputs for close copying of other people's work before reuse, especially long passages and images.
    3. 9.3Where our terms assign intellectual property in deliverables to the client, [Engagement lead] confirms that AI-assisted work is consistent with those terms.

    10. Security

    1. 10.1Use AI tools only through firm-managed accounts with [single sign-on or multi-factor authentication].
    2. 10.2Do not connect an AI assistant or agent to email, file stores, the CRM or other systems, or let it send, delete or change anything, without approval from [AI lead].
    3. 10.3Treat instructions hidden in documents, emails or web pages that an AI tool reads with suspicion; they can be used to manipulate the tool.
    4. 10.4Verify unusual requests for payments or data by a second channel, even when a voice or video call seems genuine.

    11. Incidents

    1. 11.1Tell [AI lead] and [Data protection lead] straight away if information goes into an AI tool that this policy does not allow, if an AI output with a material error reaches a client, if a tool behaves unexpectedly or may be compromised, or if a client raises a concern about our use of AI.
    2. 11.2The firm records AI incidents in [the incident log] and decides whether the client, the Information Commissioner's Office (ICO) or our insurers must be told.
    3. 11.3Reporting a mistake promptly is always the right thing to do.

    12. Training and AI literacy

    1. 12.1Everyone covered by this policy completes [the firm's AI training] before using approved tools on client work, with a refresher [every twelve months].
    2. 12.2Training covers how the approved tools work and where they fail, this policy, and the client and data rules above.

    13. Monitoring, breaches and review

    1. 13.1The firm may monitor use of firm AI accounts in line with [our IT and monitoring policy] and the law.
    2. 13.2Breaching this policy may lead to action under [our disciplinary policy].
    3. 13.3[AI lead] reviews this policy at least every [six] months, and sooner when the firm adopts a significant new tool, a client or professional body changes its requirements, or the law changes.
    4. 13.4Version [1.0], approved by [name] on [date]. Next review: [date].

    Appendix A: Approved tools register

    One row per tool and account type. Add a row for each approved connection to another system.

    Tool and planApproved usesInformation allowedSettings checkedOwner and review date
    [Tool name, business plan][Drafting, summarising, analysis][Public, internal, client confidential where terms allow][Training off, retention, hosting region][AI lead, date]

    Appendix B: Client AI restrictions register

    One row per client whose terms say anything about AI, subcontracting or where data may be processed.

    ClientRestrictionWhere it is writtenRecorded by and date
    [Client name][No AI on client data without written consent][Engagement letter, clause][Engagement lead, date]
    04The rules behind it

    The law and standards this template rests on

    A policy is only as good as the obligations it reflects. These are the ones that matter most for a UK consultancy or professional services firm using AI tools today.

    • UK GDPR and the Data Protection Act 2018. Lawful basis, transparency, data minimisation, security and DPIAs apply to AI as to any other processing of personal data. The ICO's guidance on AI and data protection is the starting point.
    • The Data (Use and Access) Act 2025. It amended the UK rules on automated decision-making, and the ICO says its AI guidance is under review as a result.
    • The EU AI Act (Regulation (EU) 2024/1689). It can apply to firms outside the EU where the output of an AI system is used in the EU. Article 4 covers AI literacy and Article 50 transparency. Parts of it were amended by the Digital Omnibus on AI, Regulation (EU) 2026/1744, which entered into force in July 2026.
    • Professional bodies. Some now set mandatory AI standards of their own. The RICS professional standard on the responsible use of AI in surveying practice took effect on 9 March 2026.
    05When a template is not enough

    When you need more than a template

    A template is a sound start for a firm whose AI use is light and whose obligations are simple. It is not enough when you handle regulated or sensitive client data, answer to a chartered or professional body, or need to prove your controls to clients and auditors. Then the policy has to be tested against your actual obligations, and it needs impact assessments, a risk register and an incident log behind it.

    That is what our AI governance implementation does: internal and external AI policies, AI impact assessments, audit trails, and alignment with EU GDPR, any SOC credentials you hold and your professional bodies. It takes two to four weeks and starts from £3,000. For Hillbreak we assessed its existing policy against the RICS standard, identified twelve new provisions and prepared a nine-document pack, taking the policy from four rules to thirteen.

    If you are not sure where your firm stands, the free AI maturity assessment takes about two minutes. If the gap is skills rather than rules, tailored AI team training builds the literacy section 12 asks for.

    Questions

    Does a consultancy need an AI policy?

    Yes, if anyone in the firm uses AI tools, and in most firms someone already does. A consultancy's raw material is its clients' information, so the risk is not only your own data but your clients'. A short written policy tells people which tools they may use, what they may put into them, how to check the output and whom to ask, and it gives you something to show a client who asks how you use AI.

    What should an AI acceptable use policy include?

    At minimum: scope and definitions, named owners, a list of approved tools and account types, rules on what information may go into which tool, personal data and impact assessments, checking outputs, disclosure, security, incident reporting, training and a review date. A consultancy also needs rules on client engagement terms, keeping each client's information separate, and the requirements of any professional body its people belong to.

    Does the EU AI Act apply to a UK consultancy?

    It can. The Act applies to providers and deployers outside the EU where the output of an AI system is used in the EU, so a UK firm serving EU clients may be in scope. Article 4 asks providers and deployers to take measures to support the AI literacy of their staff, and Article 50 sets transparency duties such as disclosing deepfakes. Take legal advice on your own position.

    Do we need a DPIA before using ChatGPT, Claude or Copilot?

    Not for every use, but you do before any processing of personal data that is likely to result in a high risk to individuals, and the ICO lists innovative technology among the factors that point to high risk. Using an AI tool on public or internal material that contains no personal data does not usually need one. Your data protection lead should decide case by case.

    Can we use this template for free?

    Yes. Copy it, adapt it and use it inside your firm. It is general information rather than legal advice, so check it against your own contracts, insurance and professional obligations before you adopt it.