How we work
We sell judgement. The code is the proof. Every engagement starts with a decision, and you can stop after any step: the findings are yours.
Book a Reliability ReviewAdvisory lane
Five steps, and you can stop after any of them
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For: Anyone with an AI pilot or a workflow they are unsure about.
You leave with: A 2-page findings note and a shortlist of 1–3 workflows worth a closer look.
More on AI Reliability Review -
For: Teams that need to decide what to automate before they build.
You leave with: Workflow triage (compile, keep on an AI model, or don’t automate), a policy-to-rules map, the evidence gaps, cost per case today vs projected, a 100-rerun consistency test of your current pilot and a change plan. The fee is credited against a Proof Sprint within 90 days.
More on Workflow Diagnostic -
For: Teams ready to see one workflow working before committing to a build.
You leave with: One workflow working on your own cases, with consistency and accuracy measured. You keep the code.
More on Proof Sprint - Step 4
Production rollout
Billed by milestoneFor: Teams taking a proven workflow live.
You leave with: The live system, its integrations, a decision-trace store, monitoring and a handover to your team.
- Step 5
Run & evolve
OngoingFor: Teams running the system as rules, policies and regulations change.
You leave with: Rule and policy change management, drift review of any bounded AI-model step, and a periodic audit pack.
Engineering lane
Same skill, different way in
Policy to rules and business rules buried in old code are the same work: extract the decision logic, write it down, rebuild it as owned, deterministic code.
Start here
Process & System Health Review: for manual work, errors or an old system, with no AI plan yet.
Diagnostics
- Legacy System Specification Assessment
- AI Code Rescue assessment
- AI Security Assessment
- EU AI Act Readiness Map
Build
Hardening, and a staged module-by-module rebuild.
Recurring
Embedded Engineering retainer, VigilCloud, The Heartbeat and Pricient.
What every engagement includes
Sector research
We research your sector, the regulator’s position and what the public record says about firms in your situation.
A benchmark before we start
Before work starts we set a benchmark: a few measures from your own system, each with a target. After each module or stage we show you where each one stands.
A specification you can check
AI does a first pass, our senior engineers review it and trace it to the code, and your own experts confirm it.
One module at a time
We replace a system one module at a time while the old one keeps running. We never do a single cutover.
Billed by milestone
Each milestone is tied to a module you accept.
Pause when you need to
You can pause after any accepted module.
Where it fits, and where it doesn’t
Fits
High-volume, mostly rule-driven decisions that are costly when wrong and need an audit trail:
- Claims triage
- Underwriting referral
- Credit decisions
- Eligibility
- KYC exceptions
- Pricing approvals
- Finance-ops controls
Doesn’t fit
- Open-ended language tasks
- Low-volume judgement calls
- Rules that change daily
- Heavy unstructured input
There we keep a bounded AI step, with model cost only where language is genuinely involved, or advise not automating.
Consistency is not correctness
A system that gives the same answer every time can give the same wrong answer every time. We always report accuracy against your own experts alongside consistency. That is why your experts confirm the specification, and every stage is reviewed against the benchmark.
Neutrality
We will recommend not automating, or another firm or tool, when that’s better for you. We take no referral fees on model or platform recommendations.
IOanyT is an AWS Advanced Partner.
Price
Every step is fixed price, agreed at scoping. Want a number before we talk? Get a fixed, itemised quote with exclusions from Pricient — by IOanyT.
Get a fixed quoteStart with the decision.
Bring one pilot or one workflow, or tell us about the system you need built or rescued.