How to use AI effectively in your business (and get consistent results)

By now, businesses have experimented with AI in some form, to draft emails, summarise documents or generate content. In some cases, the output can be useful, in others, it misses the mark entirely. But this is not an inconsistency or a limitation of the technology. It comes down to differences in users’ understanding of how AI prompts work.

The result is predictable, outputs vary, confidence drops, and AI never quite moves beyond experimentation. The businesses seeing real value from AI are not using it more, they are using it with more discipline.

Many people approach AI like a search engine, typing in short instructions to see what comes back. This approach can work for simple queries, but in a business context, it limits the value AI can deliver. AI in business can deliver so much more, including (but not limited to) increased productivity.

AI performs best when it is given direction. It needs to understand what role it is playing, who the output is for and what good looks like. Without that, it produces something generic, which then requires significant reworking (which defeats the point). At a practical level, this means that effective AI use starts before the prompt is written. This starts with clarity on the objective, the audience and the expected outcome. Once this is clear, the quality of AI output will drastically improve.

There’s a lot of debate about which AI tool is best for what purpose. In reality, how the input, or prompt, is structured can have a greater impact on the quality of the response than the AI tool used. So whether your team is using M365 Copilot, ChatGPT, Gemini or another platform, the same principle applies:

The quality of the output is determined by the quality of the input.

And this is where many businesses can go wrong, by relying on ad hoc prompts rather than a structured approach.

A structured prompt typically includes:

This is not about making prompts longer. It is about making them more precise. When this structure is applied consistently, output becomes more predictable, easier to review and much closer to what the business needs.

A common missed opportunity people have is using AI to help with a task once, then not using it again. If a prompt works well, why use it once and forget about it when it can be refined, saved and reused?

Across a business, there are numerous tasks that are repeated daily, where this approach can quickly add value. Customer emails, internal updates, marketing content and reporting are all areas where consistency matters.

By building a small library of proven prompts, businesses can:

• Reduce time spent on routine tasks
• Improve consistency across teams
• Minimise the need for rework
• Ensure output aligns with brand and tone

At this point, AI stops being an individual productivity tool and starts becoming part of how the business operates.

As AI use increases, the gap between structured and unstructured use becomes more pronounced. In organisations where AI is used sporadically, output varies depending on who is using it. Tone becomes inconsistent, quality fluctuates, and more time is spent correcting work than benefiting from it.

In organisations where AI is used in a structured way, the opposite is true. Output becomes more predictable, teams work more efficiently and AI can be applied across multiple areas of the business without friction.

And this is how the benefits of AI use in business start to grow.

It is not about using it everywhere. It is about using it consistently in the areas where it adds value.

AI will not deliver value simply because it is available, it delivers value when it is used deliberately, with clear structure and consistent application. For most businesses, the opportunity is not in doing more with AI. It is doing the right things, in the right way, and repeating them consistently.

That is what turns AI from an interesting tool into a practical advantage.

Using AI effectively at an individual level is the starting point, but real value comes when it is applied consistently across the business.

In the next article, we’ll look at how to move from individual use to an organisation-wide approach, including how to introduce structure, ownership and consistency so AI becomes part of how your business operates.