AI Proof of Concept Services for Your Business
AI proof of concept development proves an idea works with your real data before you commit to a full build. Omeiro runs a fixed-price sprint that ends in a working prototype, a demo, ROI notes and a plan for taking it into production.
How AI proof of concept works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- Something happens
A form, an email, a payment or a new row.
- The workflow runs
Steps you agreed, in the right order.
- Errors are caught
Failed steps retry or alert a person.
- You see what ran
A simple log of every run.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with AI proof of concept
De-risked fixed-price sprint delivering an executive-ready working AI prototype on your real company data. Proving feasibility, measuring ROI, and delivering a production blueprint.
Basic Package
1 working AI prototype on your data, demo call, ROI notes. 14-day delivery, 1 round + 30-day fixes.
Standard Package
Prototype; simple UI, accuracy tests, ROI model, production blueprint. 21-day delivery, 1 round + 30-day fixes.
Premium Package
2 prototypes, user pilot, security review, exec presentation, 30 days support. 28-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our AI proof of concept works
Choose the question
We pick one use case and a clear success measure.
Prepare the data
Your data is gathered and cleaned for the test.
Build the prototype
A working version is built and shown to you.
Measure and decide
Results and costs are written up so you can choose.
AI proof of concept development: picking a question worth testing
A good proof of concept answers one narrow question. Rather than proving that AI can help the company, AI proof of concept development should test something specific, such as whether a model can classify your support tickets to a stated accuracy or draft contract summaries that lawyers accept. Write the success measure before building, including the level that would justify a full project. A vague goal yields an impressive demo and an unclear decision.
Data access decides the schedule. Representative examples, permissions and a contact who can answer domain questions matter more than polished datasets, so line these up before the sprint begins. AI proof of concept development should also record costs and failure cases, not only successes, because the production budget depends on them. Decide in advance who will judge the result and what happens next if it works, so the sprint ends in a decision rather than a pause.
In short
- Delivery in 14 to 28 days, by package.
- Fixed price, shown before you order.
- Leaders asked to approve an AI project without seeing it work.
- Copyright yours after full payment.
AI Proof of Concept: common questions
How much does AI proof of concept cost?
Prices are fixed and shown by package on our AI Proof of Concept pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does AI poc take?
Delivery depends on the package: Basic 14-day delivery; Standard 21-day delivery; Premium 28-day delivery.
What is included in the Basic Package?
The Basic Package includes: 1 working AI prototype on your data, demo call, ROI notes. Higher packages add more scope, revisions and support.
Can I get a custom rapid AI prototype package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
What happens if the idea does not work?
You still learn why, and the written results save you from a larger failed build.
Do I need clean data?
Not perfect data, but access to representative examples.
Can the prototype go live?
Standard adds a production blueprint to show what a full build needs.
Who owns the prototype?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
What is the difference between a proof of concept and a prototype?
A proof of concept tests whether an idea is feasible and worth pursuing. A prototype is a working early version of the product, and ours doubles as the proof.
Ready to start your AI proof of concept?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.