From "we should use AI" to a working system

I help you identify where AI can create business value, what to build first, and what not to waste time on

The problem

You already pay for SaaS tools, collect data, and run repeatable processes. AI should fit somewhere, but the path is fuzzy.

Too many tools. Unclear ROI. No obvious first project. Vendor demos that do not match how your team actually works.

What you get

  • Clarity on where AI can create business value.
  • A first-project recommendation grounded in your workflows and data.
  • Build-vs-buy guidance before you spend money on tools or custom work.

AI Opportunity Sprint

The sprint is a fixed-scope 1-week engagement to identify your best first AI opportunity.

You get a written opportunity brief and a 45 min walkthrough. If we continue into implementation, the sprint fee is credited toward the build.

What is included

  • 60-90 min discovery call

  • Review of workflows, tools, and available data

  • Identification of 3-5 AI opportunities

  • Recommendation of the best first project

  • Build-vs-buy guidance

  • Short roadmap

  • Implementation proposal if there is a good fit

Pricing

  • AI Readiness Call

    20-30 min qualification call. Free.

  • AI Opportunity Sprint

    1 week, fixed scope. EUR 1,000.

  • First AI Tool / Pilot

    2-6 weeks implementation. EUR 5k-20k+.

  • AI Ops Retainer

    Ongoing improvement. EUR 1k-5k+/month.

How it works

  1. 1. Call

    We use a 20-30 min readiness call to qualify fit and understand where AI might help.

  2. 2. Sprint

    We review your workflows, data, tools, and constraints to find realistic AI opportunities.

  3. 3. Build

    If there is a good fit, the sprint leads into a focused pilot or ongoing AI ops support.

After the sprint

  • You know where AI can create business value.
  • You know which use case should come first.
  • You know what to buy, what to build, and what to avoid.

Follow-on services

  • First AI Tool / Pilot

    Build the first working system end-to-end: prompt, integration, evaluation, and handover.

  • AI Ops Retainer

    Keep improving the system after launch with evaluation, monitoring, and iteration.

  • AI Opportunity Roadmap

    Turn the sprint findings into a phased plan with owners, trade-offs, and sequencing.

  • AI Architecture & Data Readiness

    Prepare the data layer, retrieval, and evaluation setup needed for reliable AI features.

  • AI Hiring Advisory

    Scope roles, interview AI engineers, and avoid common hiring mistakes.

Related reading

Not sure where to start?

A 30-minute readiness call. No slides, no pitch. We look at your stack and identify the first project worth running.

Book an AI readiness call