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.
The field moves too fast to follow part-time. Models, tools, and pricing shift every few weeks, and what was the right architecture in January is often the wrong one by June. Someone has to stay current so your business doesn't have to, and that job doesn't fit inside anyone's existing role.
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.
The strategy side runs alongside the builds. We sit in on the decisions where AI is relevant: which tools to adopt, which vendors to trust, what to tell your board or your team. Think of it as fractional AI leadership, the same way a fractional CFO covers finance. Senior judgement, exactly as much as you need.
the stack we typically use
- Claude
- Notion
- n8n
- HubSpot
- Xero
- Slack
- Google Workspace
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
common questions
Questions we get about ai strategy
What does a month actually look like?
A monthly review call, one build shipped, and a written report. The call decides the next highest-impact build. We ship it during the month, measure what it saved or returned, and the report shows the numbers. You always know what you got for the month before the next one starts.
How is the partnership priced?
A flat monthly retainer, scoped on a call, with a minimum initial term so the compounding has time to show. No hourly billing, no surprise invoices. Compare it against a full-time hire: you get senior attention on your business for a fraction of a salary, without the recruitment risk.
Why not just do a one-off project instead?
One-off projects work for one-off problems. But the value of AI in a business compounds: each build connects to the last, and the roadmap improves as we learn your operation. A vendor who resets context every project can't do that. If your need genuinely is one build, we'll tell you and quote it as one.
Could we just use ChatGPT and figure it out ourselves?
Some businesses do, and for personal productivity it's a fine start. The partnership exists for the layer above that: knowing which of your 30 workflows to automate first, building it so it survives real data, and keeping it current as the tools change monthly. That's a role, not a subscription.
What happens to everything if we end the engagement?
It all keeps working and it's all yours. Every build runs on your accounts, every prompt and workflow is documented, and the monthly reports leave a full record of what exists and why. We build for handover from day one because owning your own system is part of the pitch.
Ready to get started?
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