IOanyT Innovations

Advisory lane · step 3

Proof Sprint

One workflow, proven on your own cases. A fixed-scope 3–4 week pilot that ends with a consistency and accuracy report and a go / no-go recommendation. You keep the code either way.

How it’s built: what is Compiled AI?

The IOanyT Proof Sprint is step 3 of IOanyT's advisory lane: a fixed-scope, fixed-price pilot of 3–4 weeks. IOanyT rebuilds one client workflow as deterministic logic using AI-assisted engineering, then reports run-to-run consistency, accuracy against the client's labelled examples, cost per case, and errors caught at build time versus run time, with a go / no-go recommendation for a full build. The client keeps the code. IOanyT has 10+ years of delivery, is backed by its own team of 50+ engineers, is an AWS Advanced Partner and is certified to ISO/IEC 42001:2023 for AI management, with ISO/IEC 27001:2022 and ISO 9001:2015.

Most Proof Sprints follow a Workflow Diagnostic; its fee is credited against the Sprint within 90 days.

What you get

A working workflow

One real workflow, rebuilt as deterministic logic, running on your own cases.

Run-to-run consistency report

What happens when the same inputs go through again and again.

Accuracy against your own experts

Measured against cases your own team has already labelled.

Cost per case

What each transaction costs to run, with no model call in the decision path.

Build-time vs run-time errors

Which mistakes were caught before release, and which would have reached production.

A written go / no-go

Our recommendation for a full build, with the evidence behind it.

You keep the code, its tests and the report, whether or not you continue with us.

One workflow, compiled and measured A fixed scope, agreed before any work starts, and a report you keep either way. 1: Scope — one workflow, success, criteria agreed, labelled, examples gathered. 2: Compile — AI drafts code, rules, and tests; engineers, review every change. 3: Prove — run on your data:, consistency, accuracy,, cost per case. 4: Hand over — report, code and a, written go / no-go, recommendation. IOanyT FIELD NOTE / PROOF SPRINT One workflow, compiled and measured A fixed scope, agreed before any work starts, and a report you keep either way. 01 Scope one workflow, successcriteria agreed, labelledexamples gathered 02 Compile AI drafts code, rulesand tests; engineersreview every change 03 Prove run on your data:consistency, accuracy,cost per case 04 Hand over report, code and awritten go / no-gorecommendation you keep the code and the report, whatever you decide next

A good fit if

  • ✓ Your AI pilot works in demos but behaves differently run to run
  • ✓ A decision workflow (credit, claims, eligibility, pricing) has to be explainable
  • ✓ Volume is high enough that per-call model cost matters
  • ✓ You want a production artifact, not another prototype

Not the right fit if

  • — The job is open-ended creative generation
  • — There are no real examples we can measure against
  • — You need a quick demo rather than something you can run

Price

Fixed price, agreed at scoping before any work starts. No hourly billing.

Not ready for a sprint yet?

Start with a free review: 60–90 minutes and a 2-page findings note.

10+
years delivering software
50+
engineers
AWS
Advanced Partner
ISO/IEC 42001
certified for AI management, with ISO/IEC 27001 and ISO 9001

Proof Sprint questions

Who owns the code?

You do. The compiled workflow, its tests and the report are yours whether or not you continue with us.

What do you need from us?

One workflow worth improving, a person who knows it well, and a set of real examples with the right answers, labelled by your team. If labels don't exist yet, we help create them in the first week.

What if the results are poor?

Then you find out in weeks, not after a year-long build, and you keep the report showing why. Sometimes the right answer is to keep part of the workflow with people, or to use a bounded model step instead. The report says which.

Is our data sent to an LLM provider?

In the compiled workflow, production data doesn't need to reach a model at run time. Where a model is used during the build, we use private deployments and redaction, and document every data flow. IOanyT is certified to ISO/IEC 27001:2022 for information security management.

What happens after the sprint?

If the go / no-go is a go, we scope the full build, which can be priced per project or per case. If not, you keep everything and owe nothing further.

How is the price set?

It is a fixed price for a fixed scope, agreed at scoping before any work starts. No hourly billing, no surprises.

Pick one workflow. We'll prove it.

Most Proof Sprints start with a free Reliability Review. Tell us which decision is stuck.

Book a Reliability Review

Free · 60–90 minutes · a 2-page findings note you keep