How to safely use AI in my business

TLDR: If you are asking how to safely use AI in my business, the key is to introduce it with clear rules. Start with lower-risk tasks, protect confidential and personal information, check AI-generated outputs and make sure someone remains responsible for important decisions. AI can save time and improve productivity, but it should support human judgement rather than replace it.

What does it mean to safely use AI in my business?

AI is already being used by small businesses for tasks such as drafting emails, creating marketing ideas, summarising information and automating administration.

Used well, these tools can save time and reduce repetitive work. Used carelessly, they can create problems around inaccurate information, confidential data, cyber security and customer trust.

Using AI safely means knowing:

• which tools your team uses
• what those tools are being used for
• what information is being entered
• who checks the output
• when human or professional review is required

The level of control should reflect the level of risk. Using AI to suggest social media ideas is very different from relying on it to make an employment, financial or legal decision.

1. Know where AI is being used

Start by identifying the AI tools already being used across your business.

This could include ChatGPT, Microsoft Copilot, Google Gemini, Canva's AI features, customer service tools or AI features built into your CRM and other software.

Team members may already be using these tools without the business having made a formal decision about them.

Creating a simple list of approved tools and their intended uses gives you visibility and makes it easier to set sensible controls.

2. Protect confidential and personal information

One of the biggest risks is entering sensitive information into a tool without understanding how that information will be processed.

Avoid entering client records, employee information, passwords, bank details, tax information, confidential contracts or commercially sensitive information into AI tools unless the system has been approved for that purpose.

If personal data is being processed, UK data protection rules may apply. The Information Commissioner's Office highlights areas including lawfulness, fairness, transparency, security, data minimisation and accountability when organisations use AI with personal data.

A straightforward internal rule can help: confidential or personal information should not be entered into unapproved AI systems.

ICO guidance on AI and data protection

3. Check AI output before you use it

AI tools can produce information that sounds convincing while still being incomplete, outdated or simply wrong.

Human review is therefore essential.

Before using AI-generated information, ask:

• Is it accurate?
• Is it current?
• Does it make sense in context?
• Could it mislead a customer?
• Does it contain confidential information?
• Does it need specialist review?

The greater the potential impact of an error, the more important the review should be.

AI can help prepare questions, organise information or create a first draft, but areas such as tax, legal advice, regulated activity and important financial decisions should not rely on AI output alone.

4. Start with lower-risk AI tasks

Businesses do not need to automate everything at once.

Starting with lower-risk activities allows your team to learn how AI works while keeping human oversight.

Useful examples include:

• drafting social media posts
• creating blog outlines
• summarising public information
• producing meeting agendas
• generating survey questions
• drafting routine email templates
• brainstorming ideas
• rewriting content in plain English

These tasks can improve productivity without giving AI responsibility for significant business decisions.

5. Create a simple AI policy

A small business AI policy does not need to be complicated.

It should give employees clear answers about what is and is not acceptable.

What should an AI policy include?

Your policy could cover:

• approved AI tools
• permitted uses
• information that must not be entered
• who reviews AI-generated work
• how errors or concerns are reported
• who approves new AI tools
• when specialist advice is required

It is also useful to make one person responsible for overseeing AI use, even if this is simply the founder or operations lead in a smaller company.

The ICO's current AI governance material emphasises organisational accountability and governance when managing AI-related data protection risks.

6. Review the security of AI suppliers

Not every AI service provides the same level of security or control.

Before introducing a new system, check how it handles your information.

Questions to consider include:

• Where is data stored?
• Can your information be used to train the service?
• Can user access be controlled?
• Is multi-factor authentication available?
• Can information be deleted?
• Does the supplier provide appropriate data processing terms?

The National Cyber Security Centre recommends treating security as part of AI projects from the beginning rather than adding it later.

NCSC guidance on AI and cyber security

7. Check whether AI is actually saving your business money

AI tools can be inexpensive individually, but subscriptions can quickly accumulate across a growing team.

Before adopting a tool, consider the commercial purpose.

Will it save employee time? Reduce errors? Improve customer service? Generate more sales? Make an important process faster?

If the benefit is unclear, consider running a trial and measuring the results.

For example, if an AI tool is introduced to reduce administrative work, compare how many hours the process took before and after implementation.

This allows you to judge AI on its business value rather than adopting software simply because it is popular.

8. Keep people responsible for important decisions

AI should support decision-making, not remove accountability.

This is particularly important when decisions affect employees, customers, finances or regulatory responsibilities.

A useful principle is to treat AI as an assistant. It can process information quickly, suggest ideas and identify patterns, but a person should remain responsible for checking important work and making the final decision.

That combination allows businesses to benefit from AI without handing over judgement in areas where mistakes could have serious consequences.

Use AI with a clear business purpose

The best starting point is not "Which AI tool should we buy?" but "Which business problem are we trying to solve?"

That could be reducing admin, improving response times, making marketing more efficient or helping a team organise information.

Start with a clear objective, use appropriate controls and review whether the tool is delivering a measurable benefit.

Used in this way, AI can help growing businesses work more efficiently without introducing unnecessary risk.

Get support with the financial impact of new technology

Introducing AI and other technology can affect software costs, staffing, productivity and cash flow.

AGILE Accountants supports owner-managed limited companies and fast-growth businesses with accounting, management reporting, cash flow forecasting and financial advice. We can help you understand how technology investments affect your numbers and whether they are delivering value as your business grows.

CTA: Speak to AGILE Accountants about strengthening your financial visibility and making better informed decisions about technology investment and business growth.