Artificial intelligence is rapidly becoming part of everyday business operations. For many businesses, AI is no longer an emerging technology. It is a practical tool that can support growth, efficiency and better ways of working. However, as adoption increases, so do the risks.
Businesses are increasingly recognising that AI governance is not simply a compliance exercise. It is an important part of managing risk, supporting innovation and building trust with clients and other stakeholders.
For boards and leadership teams, the challenge is to put in place a clear, practical framework that enables responsible AI use while protecting the business from legal, regulatory and reputational risk.
Why AI governance matters
AI systems can significantly impact how decisions are made within an organisation. Whether used in recruitment, marketing, customer engagement or internal processes, these tools can influence outcomes that may have legal, ethical or commercial implications.
Without proper governance, businesses may face issues such as bias in decision-making, lack of transparency, misuse of data or non-compliance with regulatory requirements. There may also be uncertainty around whether AI use is permitted under customer contracts, supplier terms or internal policies. These risks can lead to financial penalties, reputational damage and loss of stakeholder confidence.
Strong AI governance helps businesses manage these issues. It provides a structured approach to overseeing how AI is used and helps ensure that adoption aligns with wider business objectives and legal obligations. It also supports accountability to regulators, clients and commercial partners.
Businesses that take a proactive approach to governance are often better positioned to innovate, as they can adopt AI with confidence rather than hesitation.
Defining roles and accountability
A key component of effective AI governance is clarity around who is responsible for what. Without defined roles, oversight can quickly become fragmented, increasing the risk of issues being missed.
Boards have a central role in setting the strategic direction and risk appetite for AI use. Leadership teams are responsible for implementing that strategy and ensuring that appropriate controls are in place across the organisation.
At an operational level, responsibilities are likely to involve more than one team. Legal, compliance, IT, procurement and commercial functions may all need to be involved, depending on how AI is being used.
In practice, businesses should ensure that:
- accountability for AI sits clearly at board or senior leadership level;
- there is designated oversight for AI risk;
- relevant teams are involved in reviewing AI systems and supplier terms; and
- reporting structures allow issues to be escalated quickly.
Clear accountability helps ensure that AI is managed proactively rather than reactively.
Managing AI risk and oversight
AI introduces risks that may differ from more traditional business risks. These may include issues relating to data quality, algorithmic bias, lack of explainability, over-reliance on automated outputs and the use of confidential or personal data within AI tools.
Effective governance requires a practical approach to identifying and managing these risks. This starts with understanding how AI systems are being used within the organisation, what data is being entered, who has access to the tools and how outputs are being reviewed.
The right approach will depend on the nature of the AI being used, the data involved and the level of reliance placed on AI-generated outputs.
Risk management should include:
- evaluating the purpose and scope of each AI system;
- assessing data sources and data use;
- identifying potential bias or unintended outcomes;
- considering legal, contractual and regulatory implications; and
- putting in place monitoring and review processes.
Ongoing oversight is essential. AI systems are not static and may evolve over time, particularly where machine learning is involved. Regular review helps ensure that risks remain controlled and that systems continue to operate as intended.
Creating effective AI policies and procedures
Policies and procedures form the foundation of any governance framework. They provide guidance for employees and help ensure consistency in how AI is used across the business.
An effective AI policy should be practical and aligned with the way the organisation actually operates. It should address acceptable use, data handling, approval processes and the review of AI-generated outputs.
In addition, procedures should set out how AI systems are approved, implemented and monitored. This helps ensure that AI use is subject to proper review before deployment, particularly where customer data, confidential information or externally facing outputs are involved.
Key elements of a robust framework may include:
- an AI usage policy setting out permitted and prohibited uses;
- approval processes for adopting new AI tools;
- guidance on handling sensitive, confidential or personal data;
- training for employees on responsible AI use; and
- documented processes for monitoring and review.
Clear policies reduce uncertainty and support consistent use of AI in a way that reflects the organisation’s legal and regulatory obligations.
Demonstrating compliance and building trust
AI governance is not just about managing internal processes. It also plays a key role in how a business is perceived externally. Clients, regulators and commercial partners increasingly expect transparency around how AI is used and how associated risks are managed.
Demonstrating compliance requires more than having policies in place. Businesses need to be able to evidence how their governance framework operates in practice. This may include maintaining records of approved AI tools, documenting decision-making processes, reviewing supplier terms and being able to explain how AI-generated outputs are checked.
Strong governance builds trust. It shows that the business takes its responsibilities seriously and is committed to using technology in a responsible and controlled way.
How an AI Readiness Audit can help
For many businesses, the first challenge is understanding the current position. AI use may already be taking place across the organisation, but without a clear record of which tools are being used, what data is being shared or whether existing contracts and policies support that use.
An AI Readiness Audit can provide a practical starting point. It can help businesses map current or proposed AI use, review relevant customer contracts, supplier terms and AI provider terms, and assess whether existing policies, NDAs, privacy notices and governance documents remain fit for purpose.
The audit can also identify key legal and contractual risks, including issues relating to data use, confidentiality, intellectual property ownership, liability, audit rights and restrictions on AI use.
Following the review, businesses can receive a concise red flag report with practical recommendations. This gives boards and leadership teams a clearer view of where risk may arise and what steps can be taken to strengthen governance.
Supporting your business with practical AI governance
Implementing AI governance can feel complex, particularly as the legal and regulatory landscape continues to evolve. However, with the right framework in place, it becomes a useful tool for enabling growth and managing risk.
Our Commercial & Regulatory team works with businesses to provide practical AI legal and governance advice. We can support organisations with contract reviews, supplier terms, internal policies, governance processes and structured reviews such as our AI Readiness Audit.
Whether you are at an early stage of adopting AI or looking to strengthen your existing approach, we can help you put the right structures in place. With effective governance, businesses can use AI with greater confidence, protect their position and build long-term trust with stakeholders.
If you would like to discuss how AI governance applies to your organisation, or how our AI Readiness Audit could help, please contact a member of our Commercial & Regulatory team.
