Operator / Advisory Sprint · From €5,000
Help your team make the AI workflow experiment real.
A four-week sprint for B2B SaaS and platform teams ready to design, prototype, test, or operationalize a validated AI workflow experiment with human judgment, quality checks, and measurable learning built in.
From €5,000 · Four weeks · Scoped case by case · One validated workflow experiment · Prototype, operating model, or advisory support · Human judgment in the loop
When the sprint makes sense
The sprint is for teams that know the workflow opportunity is worth pursuing and need hands-on help turning it into something testable.
- You have a clear workflow experiment.
- The team agrees the problem matters.
- You need help designing the operating model.
- You need a prototype, workflow spec, or implementation support.
- You want enough evidence for the next product, growth, or operating decision.
What the sprint can include
- Workflow and decision design
- AI role and boundary definition
- Prototype or proof-of-concept support
- Prompt, process, and control design
- Human approval and escalation model
- Measurement and learning loop
- Internal documentation
- Experiment review and next-step recommendation
What we are trying to prove
The goal is not to create an impressive demo. The goal is to create enough working evidence for the next decision: what to build, change, automate, measure, scale, or stop.
Possible outputs
- AI-assisted workflow prototype
- Product or internal workflow specification
- Experiment operating model
- Human control and escalation design
- Usage, quality, or outcome measurement plan
- Internal decision cockpit or review process
- Recommendation for scale, iteration, or stop
Where it starts
Most sprint work starts after a workshop or diagnostic. If the opportunity is already clear, we can scope the sprint directly in a 30-minute call.
A few things people ask
How does scoping work?
The sprint starts from €5,000 and is scoped case by case in a 30-minute call. Scope depends on how much of the work is design, prototyping, or operating support, and on how many people need to be involved.
Who does the building?
It depends on the experiment. I design the workflow, the AI role, and the control model, and I build prototypes with AI coding agents where that is the fastest way to get evidence. Production engineering stays with your team.
What happens if the experiment does not work?
A negative result is still a result. You end the sprint knowing where the workflow breaks, what the AI could not carry, and whether the idea deserves another attempt or should be dropped.
How is this different from the diagnostic?
The diagnostic produces the plan. The sprint runs it. Teams that already know which experiment to test and want hands-on help making it real belong here.
Ready to make one workflow experiment real?
If your team already has a validated AI workflow opportunity, the sprint helps turn it into a prototype, operating model, or working experiment.
From €5,000 · Four weeks · Scoped case by case