Understand the technical risk
Check how systems, data and integrations really work before assumptions become expensive commitments.
Work · R&D / innovation
Test the idea before you commit to the build.
A focused piece of working software can answer the difficult questions: does the technology work, is the information useful, and can your team use it in practice?
Evidence before investment
Find out what is worth taking further.
Test with working software
Build only what is needed to test whether an idea is useful and technically possible before funding a full product.
Test whether AI helps with the task
Test one clear task with realistic information, agreed success measures and human review before deciding whether AI adds value.
Solve problems more than one team faces
Identify recurring service problems where one adaptable product makes more sense than repeated one-off builds.
A useful outcome
A clear decision about what comes next.
You should leave a proof of concept with a decision: develop the idea, change direction or stop. We focus the build on the question that matters, test it with realistic information and explain the findings.
An early prototype is not automatically ready for production. Security, scale and support requirements for a full launch are assessed separately.
Explore proof of concept and MVP deliveryFrom research to product
Explore the planning consultation platform.
A product in development, shaped around recurring needs in public participation and officer review.
See the product direction
What do you need to prove?
Tell us what is not working, what needs to change or what you need to build. We’ll help you work out the next step.