What is Proof of Concept (PoC)?
Proof of Concept (PoC) — A small-scale project used to verify that an AI concept has practical potential before full enterprise deployment.
An AI proof of concept validates that a proposed solution actually works before committing to full development. A good PoC tests the riskiest assumptions first, uses real (not synthetic) data, and has clear success criteria defined upfront.
Frequently Asked Questions
How long should an AI PoC take?
2-6 weeks is typical. Longer PoCs risk becoming stealth projects that consume resources without clear go/no-go decisions. Set a hard deadline and success criteria before starting.
What makes a PoC successful?
Clearly defined success metrics hit on real data. The PoC should also identify production requirements: data pipeline needs, latency targets, cost projections, and edge cases to handle.
What happens after a successful PoC?
A production roadmap covering data infrastructure, model serving, monitoring, security review, and user training. The gap from PoC to production is typically 3-6 months.