What a Two-Week AI Automation Sprint Delivers

Most AI projects in small businesses die one of two deaths. Either they never start, because "we should look into AI" stays on the someday list behind the actual work. Or they start too big — a transformation program, a committee, a tool evaluation — and stall before anything useful ships.

A sprint is the antidote to both. Two weeks, a fixed price, and a hard rule: something must be running by the end. Here's exactly what happens inside ours, so you can judge whether it's worth two weeks of your attention.

Why two weeks, not two months

AI automation for small business works best when it starts narrow. The goal of a sprint isn't to automate your company — it's to answer three questions with evidence instead of opinions:

1. Where do your team's hours actually go? Not the org chart version — the real one, with the copy-paste, the chasing, the re-typing between systems.
2. Which of those hours can AI carry today? Some tasks are perfect for automation; others only look like it until you examine the exceptions.
3. What's the first thing worth building? Ranked by return, not by what's fashionable.

Two weeks is enough to answer all three honestly. Two months just gives doubt more room to grow.

Week one: find the hours

The first week is spent with your people, not with software:

• Short interviews with the people who do the work — because the owner's picture of where time goes is usually off by half.
• Process mapping of the handful of workflows that eat the most hours: how an inquiry becomes a booking, how an invoice gets paid, how a report gets assembled.
• A reality check on your tools. Most businesses don't need new software; they need their existing calendar, invoicing and messaging tools connected to something that never forgets.

By Friday you see a picture most owners have never had: the week, in hours, by task — and which of those tasks are rule-based, repetitive and safe to hand over.

Week two: rank, build, train

The second week turns the map into decisions:

• 3–5 automation opportunities, ranked by ROI. Each one with the hours it returns, what it costs to build and run, and what stays human.
• A roadmap with real numbers — costs and timelines you could take to your accountant, not a vision slide.
• One quick automation, live. The smallest high-value win gets built and switched on before the sprint ends — often an auto-drafted reply, a reminder flow, or a report that writes itself. Not a demo. Running.
• Practical AI training for your staff, on their own work, so the sprint leaves capability behind, not dependence.

That last build matters more than it looks. The difference between a company that adopts AI and one that talks about it is usually one working example that colleagues can see.

What you walk away with

At the end of two weeks you have four things: a measured map of where the week goes, a ranked list of what to automate, one automation already working, and a team that has used AI on real tasks. If you stop there, the sprint still paid for itself in clarity. If you continue, you continue with evidence.

Typically the top-ranked opportunities are the ones we've written about separately — an AI receptionist answering and booking inquiries for appointment-based businesses, or invoice follow-up for anyone who sells B2B.

What it costs

Our AI Automation Sprint is a fixed €2,000, two weeks, and the full amount is credited toward an agent setup if you go ahead — so if the sprint finds something worth building, the sprint was free.

We price it that way deliberately. A sprint that ends in a 40-slide deck and an invoice has no skin in the game. One that's credited against the build only makes money for us if it finds something real for you.

Who it's for — and who it isn't

The sprint fits owners and managers of businesses from roughly 5 to 250 people who suspect AI could help but want proof before committing. It's the right starting point when nobody in the company owns AI yet, or when earlier experiments fizzled.

It's the wrong product if you already know exactly which agent you need — then skip the sprint and go straight to a ready-built agent — or if what you really want is a strategy document to show the board. We don't sell those.

FAQ

What is an AI automation sprint?

A short, fixed-scope engagement — two weeks in our case — that maps where a business's hours go, identifies the highest-return automation opportunities, builds one quick automation, and trains the team. It replaces long AI strategy projects with evidence and a working result.

How much time does it take from my team?

A few hours total, spread over the first week: short interviews with the people closest to the work, and a review session at the end of each week. The mapping and building happen on our side.

Do we need to buy new software first?

No. The sprint works with the tools you already use — your calendar, invoicing software and messaging channels. If a gap genuinely needs a new tool, that shows up in the roadmap with its cost attached.

What if the sprint finds nothing worth automating?

Then you'll know that with numbers, which is worth more than a hopeful guess. In practice it's rare: most businesses of 5–250 people have at least ten hours a week of rule-based work that an agent can carry.

Is the sprint really credited toward a build?

Yes — the full €2,000 comes off the setup cost of any agent we build afterwards. If the sprint leads to a build, the diagnosis effectively cost nothing.

Two weeks from now, you could know

The fastest way to see whether a sprint makes sense is the free AI Discovery assessment — ten minutes, and it shows roughly how many hours a week are on the table. If the number surprises you, the sprint is how you turn it into a plan.