How to bring AI into your company — 5 steps from first task to launch

The safest way to bring AI into your company is in small steps. Find the routine that costs you the most time, pick one task from it, decide which data AI may use, connect it to the systems you already use and launch it with people checking the results. Then improve it as you learn.

It is tempting to start the other way round: buy a tool, then look for a use for it. But AI integration makes sense when it solves specific work your people do by hand today. Here is an approach you can start straight away, with or without us.

How do you bring AI into your company, step by step?

Each step has a clear outcome, so you know when to move on.

1. Find the routine that costs the most time

Ask your people what they do over and over each week — retyping orders from e-mails, entering invoices into accounting, answering the same customer questions or building reports from spreadsheets. Note who does it, how often and what slows them down.

The outcome: a list of routines ranked by the time they take.

2. Pick one task

Pick one task from the list, not a whole department. A good first task comes up often, follows clear rules and makes mistakes easy to spot. Reading supplier invoices, for example, beats ‘AI for the whole sales team’. Also agree how you will recognise success: less retyping, faster replies or fewer mistakes.

For ideas, see eight tasks AI in business can take on today. If customer questions are your biggest burden, read when an AI chatbot for business pays off.

3. Decide which data AI may use

AI needs material to work from: price lists, procedures, orders or invoices. You decide which it can access. Take care with personal data about customers and employees — more on GDPR below.

4. Connect it to your existing systems — checked by people

AI should work where you already work: in e-mail, accounting, stock, your online shop or CRM. The aim is to connect systems that work, not replace them — see our article on connecting accounting, stock and your online shop.

Also decide where a person checks the output, such as an invoice before it is booked or a quote before it goes out. Anything AI cannot handle goes to a colleague.

5. Launch and improve

Launch small, for example for one supplier or one type of question. Watch where AI gets things wrong and why — perhaps an outdated price list or an unclear rule. Add the next task once the first runs reliably.

How do these steps fit the way we work?

With us, you follow the same path within our four steps. You can prepare the first two yourself, and at the meeting we go through them together.

You see the design before anything is built, and during the build we show you finished parts as we go. The exact price and timeline depend on scope, which is why we start with a meeting and a design proposal.

Data and GDPR — who decides?

Your company decides which data AI works with — that is both your right and your responsibility. AI should see only what its task needs.

If AI works with personal data about customers or employees, GDPR applies, just as it does when a person handles the data. Before launch, go through these questions with your data protection officer or a lawyer:

• Are you allowed to use this data for this purpose?
• Do the people concerned know about it?
• Who will have access to the data and to AI’s outputs?
• How long is the data kept, and who deletes it?
• Could the task be done without personal data?

A practical tip: if possible, start with a task that needs no personal data, such as an internal assistant for price lists and procedures. This list is not legal advice, but it helps you ask the right questions.

Which mistakes should you avoid when introducing AI?

Success depends not only on the technology but also on how the project is run. Watch out for these mistakes:

• Everything at once — rolling AI out everywhere sounds good, but results are hard to measure and fix. One working task convinces more than many half-finished ones.
• No one in charge — questions go unanswered and material goes out of date. Name someone who decides and has time for it.
• AI without your data — without current price lists and procedures, AI gives generic answers or makes things up.
• No human check — a person should see important outputs, such as invoices, quotes or replies to complaints, before they go further.
• No clear goal — if you do not know what should improve, you cannot tell whether it works.
• Leaving out the people who do the work — they know best where the exceptions are, so involve them from the start.

Is your company ready for AI integration?

Go through this checklist. The more points apply, the easier the start.

• You can name one routine task that costs you the most time.
• You know where its data is — in e-mails, accounting, stock or spreadsheets.
• Price lists, procedures and documents are up to date and in one place.
• You have decided which data AI may and may not use.
• Someone is responsible for the project and has time for it.
• You know who will check AI’s outputs.
• You have agreed how to recognise success.
• The people doing the task today know about the change and can have their say.

Missing a few points is fine — that is what the first meeting is for.

Frequently asked questions

Do we have to change the systems we use?

The aim is to connect AI to the systems you already have, such as e-mail, accounting, stock, your online shop or CRM. Whether a particular system can be connected, and how, we find out at the meeting.

How long does it take to bring AI into a company?

It depends on scope — the task and the systems AI connects to. That is why we start with a meeting and a design proposal. We build in parts and show you finished parts as we go.

What if AI makes a mistake?

It can happen, so a person checks important outputs and anything AI cannot handle goes to a colleague. After launch, we keep improving the solution with you.

How we can help

When you bring AI into your company, we can guide you through all five steps, from the first meeting to launch and ongoing improvement. See what AI can take on for you on our AI integration for companies page. To go through the checklist together, book a meeting with us.