How to Use AI in Your Business: Inside the Rocketmakers AI Guidebook
The best way to start using AI in your business is with a problem, not a tool. Pick one process, measure how it performs at that moment, try the simplest option that might help, and judge it on whether the work got faster, better, or cheaper.
That’s the approach behind the Rocketmakers AI Guidebook, a free, plain-English guide for business owners and leaders by Adam Clarke, our Senior Software and AI Engineer.
🚀 Download the Rocketmakers AI Guidebook for free…
Below, we cover:
✔️ Who the guide is for
✔️ The basics and the jargon
✔️ Ten everyday jobs where AI can help
✔️ Getting better results from AI assistants
✔️ Choosing between buying, vibe coding, and building
✔️ Running a pilot and knowing when to stop
✔️ Your people and your responsibilities
Who Is the AI Guidebook For?
This guidebook is perfect for anyone deciding where AI fits in their business. You don’t need a technical background, but you do need to know what matters to your business and the people in it.
That includes trying your first AI tool, weighing up a supplier’s proposal, or working out why a pilot didn’t deliver.
“AI has made writing code cheap. It hasn’t made specifying, checking, or maintaining that code cheap, and those are skills learned through experience.”
What Does the Guide Cover?
The Basics and the Jargon
The opening chapters explain what AI, machine learning, and large language models are, and how an assistant uses tools and agents to do more than answer questions.
A glossary of around 30 terms follows, grouped so you can find what you need mid-meeting. It covers everyday terms such as tokens, context windows and RAG, along with the ones to be wary of, including hallucination, prompt injection, shadow AI and AI washing.
Ten Everyday Jobs Where AI Can Help
The guide sets out ten places where AI can earn its keep, along with the checks each one needs:
➡️ getting through long reports, email threads and meeting notes
➡️ getting a first draft together
➡️ working across languages
➡️ turning invoices and forms into data
➡️ asking questions of your own documents
➡️ answering customer questions
➡️ spotting patterns in the numbers
➡️ checking at a scale nobody could manage by hand
➡️ preparing tasks for a person to approve
➡️ helping your developers build
How much checking you need depends on what a mistake would cost. A routine internal update is a different proposition from a contract, a medical record, or anything that triggers a payment.
Getting Better Results from AI Assistants
One chapter walks through turning a set of meeting notes into a useful update. It shows how to brief an assistant, work through the result in stages, and check names, figures, and deadlines before you use it.
💡 Pro-tip: When the task changes, start a fresh chat with the brief that worked rather than carrying on in a long conversation. The guide includes a prompt for writing a handover, so nothing important gets lost along the way.
Buy It, Vibe It or Build It?
Before choosing a route, the guide asks what will get better for the people using the result. Sometimes the right amount of AI is none: if delivery charges depend on a postcode and the size of an order, a table of prices and a few rules may do the job.
When AI does fit, there are three routes:
➡️ Buy it. Most uses already exist as a product, or as a feature in software you already pay for. Check the data terms and how closely it fits the way you work.
➡️ Vibe it. “Vibe coding” means describing what you want and letting an AI tool write the code. It’s a quick way to get a working prototype and test an idea. The trap is mistaking that prototype for the product.
➡️ Build it. Bespoke makes sense when nothing off the shelf fits, or when a prototype has proved the idea and now needs to become something people rely on.
The chapter ends with questions to ask any technical partner, including whether they’ll push back on requests that don’t make sense, and what happens when the model behind your system is retired.
Running a Pilot and Knowing When to Stop
The guide recommends picking one process and writing down what it costs you today. That baseline lets you decide what an improvement looks like, and what would make you stop, before anyone is invested in the result.
The thing to measure is the outcome, not the usage: whether the work got faster, better, or cheaper once checking and corrections are counted. If the numbers don’t hold up, stopping is a good use of what you’ve learned.
Your People and Your Responsibilities
Throughout, the guide argues for using AI to give people more time for the work that needs their judgement, rather than to replace them. It looks at examples on both sides, including Commonwealth Bank of Australia reversing 45 customer-service redundancies in 2025 after introducing a voice bot.
It also covers what you’re responsible for once AI is involved: matching the level of checking to the stakes, telling customers when they’re talking to AI, protecting their data, and giving the person in the loop the time and authority to question what they approve. In 2024, a Canadian tribunal held Air Canada responsible for incorrect advice from its website chatbot.
Wrapping Up
➡️ The Rocketmakers AI Guidebook is free and written for business leaders, not engineers.
➡️ Measure the outcome, not the usage, and count the time spent checking.
➡️ Start with the problem. AI is one way to solve it, and sometimes not the best one.
➡️ Download the Rocketmakers AI Guidebook for free…
🚀 We’re Rocketmakers
We’re a bespoke software and AI development agency based in Bath. Since 2007, we’ve designed, built, and supported software for startups and established businesses, and we take AI-built prototypes through to production.
If you’re working out where AI fits in your business, or you’ve built a prototype and need it ready for real users, get in touch with our team.
