System, stakeholder, and constraint map.
AI Systems Discovery
Make the decision before committing to build.
A paid, fixed-scope engagement for teams deciding whether an AI capability is valuable, feasible, safe enough, and worth delivering now.
Engagements start at 10,000 PLN or €2,500, quoted in the contract currency.
Useful when
More building would hide the real problem.
- An AI prototype cannot become a reliable product capability.
- Architecture, data, ownership, or evaluation choices remain unclear.
- A workflow may be worth automating, but value and risk are unproven.
- Delivery is stuck and the team needs a concrete technical path forward.
What you receive
Decision-ready outputs.
Opportunity, feasibility, and risk assessment.
Architecture direction, evaluation approach, and human-review boundaries.
Clear acceptance criteria and recommendation: build, defer, change approach, or do not automate.
Scoped technical-direction recommendation; implementation follows only with a client team or agreed delivery team.
What gets decided
System boundary before implementation.
Business need→System constraints→Evaluation→Decision
Human review and exception paths shape every step where they matter.
How it works
Brief
Share context, systems, stakes, budget, and the decision needed.
Fit call
A short conversation confirms that Discovery is useful and appropriately scoped.
Discovery
Work produces a decision, not an open-ended workshop series.
Next step