AI strategy
AI strategy
An ongoing AI partner embedded in your business. Monthly builds, monthly results.
the problem
You built one automation and it worked. Now you want to do more but don't have time to research, plan, and implement it all yourself. You need someone who does this full-time.
Most businesses get stuck after their first AI win. They automated one workflow, saved a few hours, and now they want to do more. But figuring out what to build next, scoping it, and doing the work takes more time than they have. So the momentum stalls.
Hiring a full-time AI engineer doesn't make sense at your scale. €80,000 a year for someone you only really need part of the time. An agency that bills by the project moves slowly and resets context every time. You need a partner, not a vendor or a hire.
what we build
We become your ongoing AI partner. Every month we identify the next highest-impact automation, build it, and measure the results. Your business gets smarter every month.
Every month follows the same pattern. We review what's working, what's not, and what changed in your business. We scope the next build based on impact and effort. We ship it. We measure the result. You get a written report showing what shipped, what it cost, and what it returned.
Over time the system compounds. Month one we automate one workflow. Month two we connect it to another. Month six you have an interconnected system that runs in the background while your team focuses on the work that needs humans. This is how businesses 5-10x output without 5-10x headcount.
what changes
- One new build shipped every month
- Monthly review showing what was built and what it returned
- A roadmap that adapts to what's actually working
- A partner who knows your business and gets sharper every month
- Compounding results: automations stack on top of each other
who this is for
Founders who already see the value of AI and want to scale it across the business. Operations leads with too many ideas and not enough time to execute. Businesses serious about turning AI from an experiment into infrastructure.
how it works
Three steps
01
We review what's working and identify the next best opportunity
02
We build and deploy the next automation into your business
03
We measure results and plan the following month's build
Ready to get started?
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