A time-boxed build of a working AI prototype. You see real results before committing to a full project.
A Proof of Concept removes the guesswork from AI investment. Instead of committing to a full build based on theory, you get a working prototype that demonstrates real value with your actual data and processes.
Each PoC is scoped to deliver a single, meaningful outcome. Examples include:
Week 1–2: Discovery and scoping. We define the exact scope, success metrics, and data requirements. You'll know precisely what we're building and why.
Week 3–4: Build and iterate. Rapid development with weekly demos. You see progress in real time and can steer the direction.
Week 5–6: Testing and reporting. Performance benchmarking against your success metrics, plus a detailed feasibility report.
At the end of the PoC you have evidence from your own data of what the agent does and a measured estimate of what it would save. You decide on a full build with the facts in front of you.