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POC vs Pilot vs MVP: Testing Platforms, AI & Custom Builds
POC vs Pilot vs MVP: Where Each Test Fits, From Strategy to Rollout
A team runs a three-month pilot of a new contact center platform, only to find in week six that it cannot pass case data back to Salesforce the way their workflows need. A proof of concept would have caught that in a week. Another team spends a quarter building a custom integration before confirming anyone will use the workflow it supports.
For technology leaders, the cost of picking the wrong test is rarely the test itself. It is the momentum lost, the vendor commitment made too early, or the rollout that stalls because nobody agreed on what success meant. The same pattern shows up whether the project is a CCaaS migration, an AI deployment, a ServiceNow rollout, or a move to the cloud. Choosing between POC vs pilot vs MVP comes down to which risk you need to remove first: whether the technology works, whether it works in your operation, or whether something you are building is worth the investment.
This guide covers what each one is, how they differ, and when to use each across platform adoption, AI, and custom development work.
What Each One Is
Proof of concept (POC)
A proof of concept tests whether a specific capability is technically feasible in your environment. It is short, narrow, and usually run by technical teams in a sandbox or test tenant. End users and live data are not involved.
A POC answers questions like: Can this CCaaS platform write interaction data to our CRM in the format our workflows expect? Can our legacy application run in Azure without a full rewrite? Can an AI model return accurate answers from our own knowledge base? Once the answer is in, the POC is usually discarded. It is not meant to be built on.
Pilot
A pilot puts a working, configured platform in front of a limited group of real users. The technology is known to work. What is unknown is how it performs with your volume, processes, compliance requirements, and the way your teams actually work.
That might mean moving one contact center queue onto a new platform, rolling out a ServiceNow workflow to one department, or running a new AI agent on a single line of business. The team tracks a small set of measures against the current state for several weeks before deciding on a wider rollout.
Minimum viable product (MVP)
An MVP is the simplest version of something new you are building that delivers real value to real users. In enterprise technology, that is usually a custom component: an internal application, an integration layer between platforms, a self-service flow, or a reporting tool.
An MVP answers whether the thing is worth building out. Unlike a POC, it is meant to be extended. Unlike a pilot, it applies to something you are creating, not a vendor platform you are adopting.
POC vs Pilot vs MVP: How They Compare
The clearest way to separate them is by the question each one answers and what happens to it afterward.
The last row matters most. A POC is disposable by design. A pilot is a decision point on a vendor commitment. An MVP is the first release of something you will own. Treating one as another is where most wasted effort in technology programs comes from.
When to Use Each
Use a POC when the technical risk is unknown
Run a POC when nobody on the team can say with confidence that an integration, migration path, or capability will work. Common triggers include connecting a new platform to a legacy system, confirming that a vendor's API supports a required workflow, or checking whether an AI model can handle your data accurately.
Example: A company plans to move a 15-year-old internal application to Microsoft Azure. Before committing to a migration approach, the team lifts one module into a test environment and checks performance, authentication, and data access. The result decides whether the application can be rehosted or needs modernization first.
Use a pilot when the technology works but the fit is unproven
Run a pilot when the platform is proven elsewhere but your operation has specifics that could change the outcome: unusual volumes, complex approval chains, regulatory requirements, or teams used to a different way of working.
Example: An organization rolls out a new ServiceNow request workflow to one department for six weeks. The team tracks request turnaround, rework, and user adoption against the old process before extending it company-wide. The same approach applies to moving one contact center queue onto a new CCaaS platform before a full migration.
Use an MVP when you are building something new
Build an MVP when no off-the-shelf product covers the need and the open question is whether a custom build delivers enough value to justify more investment. That usually means internal applications, integration layers between platforms, or self-service tools.
Example: An operations team tracks field requests across email, spreadsheets, and two separate systems. Instead of building a full application, the team releases a version that captures requests and shows their status in one place, puts it in front of one region, and plans the next release from real usage. That is typical of custom development work, where the first release is designed to be extended.
Where Each Test Fits in a Technology Program
A POC, pilot, and MVP are not competing options. Each one belongs to a different stage of a program, and most wasted effort comes from running one at the wrong stage. Not every project needs all three: a proven platform with standard integrations may go straight to a pilot, and a small internal tool may go straight to an MVP.
Strategy: decide what needs proving
Before any test is scoped, the program needs a clear view of which assumption carries the most risk. That is a technology strategy question, and the answer determines whether the first test is technical, operational, or about value.
Evaluation and procurement: the POC
A POC does its best work before a vendor contract is signed, while there is still time to change direction. When Brivo moved its contact center from NiCE CXone to Zoom Contact Center, the engagement was structured around evaluation before commitment. Platform options were compared on how each would perform in Brivo's existing environment, not on feature lists.
Implementation: the pilot and the MVP
Once a platform is chosen, the pilot becomes the first phase of rollout, and an MVP becomes the first release of anything custom. In Brivo's case, early discussions about expanding scope were deliberately narrowed during implementation so core capabilities could be validated first. That discipline is what separates a structured implementation from one that tries to prove everything at once.
Managed services and outcomes: after the test
The success criteria set for a pilot or MVP do not expire at go-live. They become the baseline for measuring outcomes, and an MVP keeps evolving through later releases under managed services.
What to Settle Before You Start
The format matters less than the preparation behind it. A POC, pilot, or MVP is only useful if it ends in a clear decision.
1. What is the riskiest assumption?
List what the project depends on being true: the new platform passes data cleanly to existing systems, teams adopt the new workflow, users complete tasks in self-service instead of raising a request. Then rank them by how damaging it would be if each turned out wrong. The top item tells you which test to run first. If it is technical, start with a POC. If it is about people or process, start with a pilot. If it is about demand, build an MVP.
2. What result would make you stop?
Define success and failure before the test begins, in numbers where possible: accuracy above a set threshold, handle time within an agreed range, a minimum containment rate for the AI agent. Without exit criteria, tests tend to drift into extended trials that never end in a decision. When the test is part of a platform selection, a vendor-neutral evaluation keeps those criteria tied to your operation rather than a vendor's demo.
3. What happens if it works?
A POC built in a sandbox rarely survives contact with production. A pilot on one team needs a plan for the next 10. An MVP needs a roadmap for release two. Decide in advance who owns the next step, what budget it needs, and how long the transition should take, so a successful test leads somewhere.
See how One Primero approaches implementation →
Pick the Test That Matches the Question
If you are unsure whether it can be done, run a POC. If you know it works but not whether it works for you, run a pilot. If you are building something new, start with an MVP.
Most technology projects that stall at the testing stage do not fail the test. They never defined what passing looked like. Write down the question, the threshold, and the next step before anything is built, and the choice between the three usually becomes obvious.
