What is a proof of concept?
A proof of concept (PoC) is a small, time-boxed test that shows whether a product, technology or approach can work for a specific use case before an organisation commits to buying or building it at full scale. It is designed to answer one question with evidence: can this do what we need, on our data, in our environment?
In AI customer support, a PoC usually means connecting a vendor's AI agent to a copy of your helpdesk, knowledge and a few back-end systems, then measuring how it handles a representative sample of real tickets. The output is a go or no-go decision, backed by numbers both sides agreed on in advance.
Proof of concept vs pilot vs prototype
Prototype. A rough build that shows what something could look like. It answers "what would this be?" and is often built before any vendor is involved.
Proof of concept. A scoped test that shows whether it can work for you. Narrow scope, controlled data, a small group of reviewers.
Pilot. A limited production rollout that shows whether it does work at real volume, with real customers and the team that will own it.
For AI support the line between PoC and pilot is often thin. A common pattern is a short shadow-mode PoC on historical tickets, then a pilot on one channel, queue or region. See how to run an AI customer support proof of concept and pilot for the full plan.
What an AI support PoC should test
Resolution on real tickets. Not a curated FAQ set. Pull a sample across your top intents, including the messy ones.
Accuracy. Have support leads grade a sample of answers for correctness and policy fit, not only tone.
Actions. Can the agent complete the refunds, cancellations, address changes or account updates that make up your volume, safely and with an audit trail?
Guardrails and handoff. Does it refuse what it should refuse, and hand off with context when it cannot help? See AI guardrails.
Security and compliance. Run the security review in parallel: DPA, subprocessors, hosting region, SOC 2 Type II report and role-based access control.
How to define PoC success criteria
Write the criteria down before the PoC starts and get the vendor to agree to them. Each criterion needs a metric, a target, a sample size and an owner who signs off. Typical criteria cover resolution rate on the agreed sample, graded accuracy, correct escalation, completion of named actions, time to first value, and a pass on the security review. A support pilot scorecard keeps both sides honest.
A two-week AI support PoC plan
Days 1 to 3. Connect the helpdesk and knowledge sources, agree the ticket sample and success criteria, start the security review.
Days 4 to 8. Run the agent in shadow mode on historical and incoming tickets; grade a daily sample; fix knowledge gaps.
Days 9 to 12. Turn on limited live traffic for one queue or channel, with handoff to humans.
Days 13 and 14. Score results against the criteria and make the go or no-go call.
Common PoC mistakes
The most common mistakes are testing on easy, hand-picked questions, measuring deflection instead of real resolution, leaving actions out of scope so the agent can only answer and never do, skipping a baseline from the current team, and letting the PoC run with no end date. Each one produces a result that will not hold in production.
How Fini runs a proof of concept
Fini runs PoCs on your own tickets, connected to the helpdesk you already use, with success criteria agreed up front. Fini's benchmark is 90% resolution at 99% accuracy, and a PoC is where you check it on your own volume. After the PoC, new customers are covered by a 90-Day Money-Back Guarantee.
Scope a proof of concept on your own tickets. Book a call.
Frequently asked questions
What does PoC stand for?
PoC stands for proof of concept: a short, scoped test that shows whether a product or approach can work for your specific use case before you commit to a full rollout.
What is the difference between a proof of concept and a pilot?
A proof of concept asks whether something can work, usually on a narrow scope, with historical or shadow data and a small team. A pilot asks whether it does work in production, with real customers, live traffic and the people who will run it day to day. Many AI support evaluations run a short PoC first and move straight into a pilot.
How long should an AI customer support PoC take?
Two to four weeks is typical for AI support. One week to connect the helpdesk and knowledge, one to two weeks of shadow or limited live traffic, and time to review results against criteria agreed at the start. Longer PoCs often mean the success criteria were never defined.
What success criteria should an AI support PoC use?
Agree them in writing before you start: resolution rate on real tickets, accuracy on a reviewed sample, escalation quality, how often the agent correctly refuses or hands off, the actions it can complete end to end, and whether it passes your security review.
Should a vendor charge for a PoC?
Practice varies. Some vendors run free PoCs, others charge and credit the fee against a contract. What matters more is that the PoC runs on your own tickets and systems, and that the commercial terms after the PoC are clear before it starts.