There seems to be a new AI tool appearing every other day.
ChatGPT, Microsoft Copilot, Claude, Gemini and countless Industry Specific others are all promising to help make life easier, ensure businesses work faster and improve productivity.
It’s no surprise that many business owners and their staff are starting to ask which AI platform, or platforms, they should invest in. While comparing features, pricing and integrations is important, focusing on the tool first can sometimes mean missing the bigger picture. The organisations seeing the most success with AI are often the ones that spend time getting the foundations right before they start connecting AI to their business systems and data.
AI Is a Business Decision, Not Just a Technology Decision
Many people think of AI as something IT can simply switch on.
The reality is that AI adoption affects the whole business.
Modern AI platforms can access emails, documents, SharePoint sites, Teams conversations and other business information. They can locate and summarise information faster than any employee could manually find it themselves. Some newer AI systems can also take actions across applications or workflows, which makes access control, auditability and human oversight even more important.
That creates some exciting opportunities, but it also raises important questions around governance, accountability and risk.
Before looking at demonstrations, pricing plans or feature comparisons, it’s worth asking some basic questions:
- What information will this tool have access to?
- Will the tool be able to train on your business data?
- Who will be using it?
- Have you considered your privacy and/or compliance obligations?
- What are the rules around using AI in the workplace?
- Who is responsible for reviewing AI-generated content before it is acted on?
Those questions are often far more important than the choice of platform itself.
Before AI, Do You Actually Know Your Data?
One of the most important questions in any AI conversation has nothing to do with AI.
Do you know what data your business has, where it lives, and who has access to it?
For many organisations, information ends up spread across multiple locations – SharePoint, OneDrive, file servers, local PCs, email systems and industry-specific applications. Over time, permissions change, folders get shared, staff move between roles, and access that was granted years ago often remains in place far longer than intended.
This isn’t an AI problem. It’s a data governance problem.
What AI tends to do is bring these issues to the surface much faster.
Before introducing AI into the workplace, organisations should have a reasonable level of confidence that:
- They know where their important information is stored
- Staff only have access to data they genuinely need
- Sensitive information is appropriately protected
- Data ownership is clearly understood
- Permissions are regularly reviewed and maintained
Good data governance has always mattered. AI doesn’t create these problems; it just helps you find them faster. If your data is organised, permissions are under control and people know what they should and shouldn’t have access to, AI can be incredibly valuable. If those things aren’t in place, AI can expose the cracks quickly. Often in the form of the Director’s spreadsheet named “Wages and payrises.xlsx” with inadequate permissions and visible to the rest of the organisation.
Set Some Ground Rules Before Everyone Starts Using AI
Once you’ve got a handle on your data, the next step is making sure people know how AI should be used. And that means you need a policy.
An AI policy doesn’t need to be a fifty-page document full of legal language. In most cases, a simple and practical set of guidelines is enough to provide consistency across the business.
It should cover things like:
- Which AI tools are approved for business use
- What information can and can’t be entered into AI systems
- How AI-generated content should be reviewed
- Privacy and confidentiality expectations
- Who is responsible for decisions made with the help of AI
The objective isn’t to stop people from using AI. It’s to make sure everyone is using it in a responsible and ethical way that aligns with the business.
It is also important to note that while IT solutions can help secure AI tools and manage access, responsible use of AI is ultimately a policy, management and HR matter, not a technology one.
AI Is a Tool. Ownership Still Sits With People.
AI can help draft emails, summarise meetings, analyse information, identify trends and generate ideas. It can save time and help people become more productive.
What it can’t do is take responsibility for the outcome.
Responsibility, accountability and ownership remain with people.
If an employee sends incorrect information to a customer, shares confidential data, approves a flawed recommendation or makes a poor business decision based on AI-generated content, the accountability doesn’t move to the software. The person using the tool still owns the result.
That’s why AI should never be treated as an automatic source of truth.
AI-generated responses can sound incredibly confident and convincing, even when they’re missing context, contain errors or draw the wrong conclusion. While the technology is improving rapidly, human judgement remains essential.
The businesses getting the best outcomes from AI aren’t replacing people with technology. They’re using technology to help people work more efficiently while ensuring the final decision, action and accountability remains with a human.
At the end of the day, AI can assist with the work, but it can never own the outcome.
Don’t Get Distracted by the Shiny Stuff
Once the foundations are in place, it’s time to look at the available tools.
This is often where businesses focus first, but it’s actually one of the last steps in the process.
Instead of concentrating solely on features and functionality, consider questions such as:
How does the vendor handle your data?
- Where is your data stored?
- Is it retained, and for how long?
- Is it used to train AI models?
- What privacy commitments are in place?
Does it align with your obligations?
Different industries have different requirements when it comes to privacy, compliance and data handling.
Can access be properly controlled?
Not everyone needs access to everything. Look for solutions that allow access to be restricted to the people and information that genuinely need it.
Can activity be audited?
If something goes wrong, can you determine:
- Who used the AI tool?
- What information it accessed?
- When it occurred?
- What actions were taken?
As AI becomes more common in the workplace, having visibility into how it’s being used will become increasingly important.
Start Small and Grow From There
A good approach is to start with the minimum level of access required.
Rather than giving an AI platform broad access to everything from day one, consider:
- A small pilot group
- Limited datasets
- Role-based access
- Regular reviews of permissions and usage
Starting small allows businesses to learn, refine processes and build confidence before expanding more broadly.
The Goal Isn’t to Slow Innovation
Sometimes governance gets a bad reputation because it sounds like red tape.
In reality, good governance gives businesses confidence to move faster.
When you know where your data is, understand who can access it, have clear rules around AI use and maintain accountability for outcomes, evaluating and implementing new technologies becomes far easier.
You don’t need to reinvent the process every time a new AI platform appears on the market.
A Better Question to Ask
Many organisations begin with the question:
“Which AI tool should we buy?”
A better starting point is:
“How do we use AI responsibly within our business?”
Once you’ve answered that question, the choice of platform often becomes much clearer.
Because while AI can be an incredibly powerful tool, it remains exactly that: a tool. The technology can help people work smarter, faster and more efficiently, but responsibility for the information produced, the decisions made and the outcomes achieved will always belong to the people using it.
Qbit Support
Qbit is here to support your business through its AI journey. We believe AI represents one of the biggest shifts in the way we work since typewriters were replaced by computers in everyday business. Reach out to Qbit today to start the conversation.
