Most organisations have now turned their attention to AI strategy. They are mapping out use cases, piloting tools, and appointing AI leads. What far fewer have done is put a clear AI policy in place for the people already using these tools every day.
There is an important distinction between the two. An AI strategy is about where your organisation is going. An AI policy is about how your people are expected to behave along the way. Without the latter, even the best strategy will run into trouble.
The Shadow AI Problem
Whether or not leadership has given the green light, employees are already using AI. They are drafting emails in ChatGPT, summarising meetings with transcription tools, generating images in Midjourney, and pasting client data into whichever free tool happens to be open in their browser. This is often referred to as shadow AI, and recent industry reporting suggests it is happening in the vast majority of organisations, frequently without the knowledge of IT or security teams.
The risks are significant. Confidential information may be shared with third-party platforms whose data handling practices are unclear. Decisions may be influenced by outputs that have not been checked for accuracy or bias. Work produced with AI may be passed off as entirely human, creating issues around intellectual property, client trust, and regulatory compliance.
What a Good AI Policy Covers
A practical AI policy does not need to be long or complex, but it should give employees clear answers to the questions they are actually asking themselves. These include which tools are approved for use, what types of information must never be entered into a public AI system, when AI-generated content needs to be disclosed to colleagues or clients, who is accountable when an AI-assisted decision goes wrong, and where to go for help if someone is unsure.
The policy should also make clear that using AI is not, in itself, a problem. Employees who feel they have to hide their AI use are far more likely to use it unsafely. A policy that treats people as capable adults, gives them permission to experiment within sensible limits, and provides training to use tools well will always outperform one built on prohibition.
Start Simple
Organisations sometimes delay publishing an AI policy because they want to wait until they have everything figured out. This is a mistake. A short, practical policy issued now and updated regularly is far more useful than a comprehensive document that arrives in eighteen months. Employees need guidance today, not eventually.
The best AI policies are living documents. They evolve as the technology evolves, as regulation changes, and as the organisation learns what works. What matters is getting started.
In Closing
An AI strategy tells your organisation where it is heading. An AI policy protects it while it gets there. If you have one without the other, you have a gap that needs closing before it becomes a problem.
At AI Unity, we believe that responsible AI adoption starts with clarity. Giving your people clear permissions, clear limits, and clear support is the foundation on which every successful AI journey is built.