Use Case Scoping
We define the problem, the success metrics and the smallest build that will prove them.
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
Prove your AI idea before you invest in a full build. We turn a use case into a working proof of concept or MVP in weeks, with clear success metrics, so you get evidence, not just a demo. Over a decade of experience, 250+ digital solutions delivered.
Get a 30-Minute AI Strategy Session, FreeAn AI proof of concept is a focused build that tests whether a specific AI use case is technically feasible and valuable, against defined metrics. An AI MVP is the smallest usable version of the solution, put in front of real users to validate demand. Noseberry builds both fast and fixed-scope, so you can decide with confidence whether to scale, adjust or stop before committing a large budget.
Key takeaways
We define the problem, the success metrics and the smallest build that will prove them.
We build a working PoC that tests feasibility on your real data, not a mock-up.
We ship a minimal usable version to real users to validate demand and gather feedback.
We measure the result against the criteria agreed upfront, with an honest read on what worked.
We give a clear recommendation and, if it is a go, a costed path to production.
Agree the use case, data and success metrics.
Develop the PoC or MVP fast, on your real data.
Measure against the metrics and gather feedback.
A clear go, adjust or stop, with a path to production if it is a go.
A proof of concept typically ships in 2 to 4 weeks. An MVP follows shortly after, depending on scope.
Models & LLMs
Build
Data & vector
Cloud
Challenge
An idea for real-time fraud scoring was unproven and hard to fund.
Solution
A 3-week PoC on real claims data with clear success metrics.
Impact
Proved feasibility, then scaled to catch 93% of fraud pre-payout.
Challenge
Uncertain whether AI could speed up appraisals.
Solution
A focused PoC on document and image intake across one market.
Impact
Validated the approach, then rolled out to 40% faster valuations.
Challenge
No evidence a recommendation engine would move revenue.
Solution
An MVP tested with a live user segment.
Impact
Demonstrated a +28% conversion lift before full rollout.
Sector-anonymised outcomes shown until named clients are approved.
A working build in weeks, with a clear price.
We tell you if an idea will not work, not just what you want to hear.
A PoC that flows straight into a full build when it succeeds.
250+ solutions delivered across 20+ countries.
A PoC tests whether an AI idea is feasible and valuable. An MVP is the smallest usable product put in front of real users to test demand.
Usually 2 to 4 weeks, depending on the use case and data readiness.
It is fixed-scope and priced upfront. We agree the scope and a clear price before starting, on your first call.
We give you a costed path to production and can build it, or hand it to your team.
You still gain a clear, evidence-based answer and avoid a costly full build on the wrong idea.
Book your free 30-minute AI strategy session and we will scope a proof of concept.
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