Week 1: scope & success criteria
One use case, the data it needs, and the measures that define success, such as accuracy, time saved, or cases handled, written down and agreed.
Solutions · AI & Automation
AI Proof of Concept
Before you commit a full budget to an AI idea, prove it on your own data. Symetriz runs a fixed-scope pilot in your Azure tenant, measures it against success criteria agreed on day one, and gives you a clear go or no-go.
The problem
Demos are easy. Proof is not.
Vendor demos on someone else's data
A polished demo says little about how the model handles your documents, your edge cases, and your volumes.
How we fix it: A pilot run on your own data.
Experiments with no finish line
Open-ended pilots drift for months because nobody agreed what success looks like.
How we fix it: Success criteria and a timebox fixed on day one.
No idea what it costs to run
A pilot proves accuracy but says nothing about the monthly cost of running it at scale.
How we fix it: Projected run costs as part of the result.
The solution
A pilot designed to give a straight answer
- Fixed scope, fixed price, and roughly six weeks from kickoff to result
- Built on your real data, inside your own Azure tenant
- Success criteria agreed up front, and a go / no-go recommendation at the end
How a pilot runs
Three phases, each with a checkpoint where you can stop.
Weeks 2–5: build & test
A working solution in your tenant using Azure OpenAI, Azure AI Search, or Azure ML as the use case needs, tested against real examples.
Week 6: result & recommendation
Measured results against the criteria, projected run costs, risks found, and a clear recommendation: scale it, change it, or stop.
What you keep
The pilot is yours, whether or not you continue with us.
Working code in your tenant
Everything is built in your subscription and handed over with documentation, not hosted on our side.
Evaluation results
The test set, the scores, and the failure cases, so a decision can be checked by anyone, not taken on trust.
Path to production
If the answer is go, a plan for security, monitoring, cost controls, and ownership to take the pilot live.
Ready when you are
Have a use case you want to prove?
Tell us the idea and the data behind it. We will come back with a pilot scope, success criteria, and a fixed price.