AI Readiness & Governance
Most failed AI projects didn't fail in the build. They failed because the data wasn't ready, the business case was never made, or governance was bolted on after go-live in a regulated shop. A short, paid diagnostic answers those questions first — so you commit to a build you already know will land.
The four diagnostics
Each is a fixed-fee engagement that ends in a decision-ready deliverable, not a slide deck. Take one, or sequence several.
Are your organization, data, skills, and tooling actually ready to adopt AI? We evaluate each, score the gaps honestly, and hand you a concrete path to ready — so you don't discover the data problem three months into a build.
Fixed fee · deposit, balance on delivery
For regulated environments, where a wrong answer has consequences. We assess your risk posture and design the controls, policies, and audit trail that let you adopt AI without failing an inspection — built in, not bolted on.
Fixed fee · scaled to regulatory depth
Where does AI pay off across your operation, and in what order? We surface the candidates, rank them by value against effort and risk, and hand back a prioritized portfolio — so the first project is the right one, not the loudest one.
Fixed fee · deposit, balance on delivery
Take one or two initiatives deep enough that a CFO can sign off. Full ROI, cost, and risk modeling — the numbers that turn "AI sounds promising" into a funded decision. And the fee credits toward the build if you proceed.
Fixed fee · creditable toward the build
Why Evata for governance
Governing AI in a regulated business isn't a slideware exercise. It's data-handling rules, access controls, validation, and an audit trail that stands up when an inspector asks how the decision was made. That's the work Evata has done for years.
# Governance design — assessed per client regime: - 21 CFR Part 11 - GxP controls: - access: least-privilege, recorded - data: what may enter, what may not - audit: full trail, decision provenance - human: review kept where it counts validation: - csv: qualify the AI system - change: controlled, documented deliverable: findings: scored gaps design: controls + policy
Where a paid diagnostic fits
They do different jobs. One is a fast, no-cost sense of the opportunity. The other is the decision-grade work you'd want in hand before signing off a build.
A quick, no-cost read on where AI could help and where to start. Directional, self-serve, minutes not weeks. The right first step for almost everyone.
A scoped engagement that produces evidence — a readiness score, a governance design, a ranked portfolio, or a CFO-grade business case. What you take to a budget conversation before committing to a build.
Already running AI in production? Governance design asks whether your controls and policies are right. It doesn't ask what an attacker can make your agents do — that's a separate, hands-on examination. See AI security & assurance.
Diagnostics sit at the front of our process — assess, build, deploy, enable. Do the readiness or business-case work first and the build that follows is scoped against real numbers, not a hunch. On the business case, the fee credits back when you proceed, so the diagnostic effectively de-risks the decision for free.
How it runs
No open-ended retainer, no drift. A deposit starts the work; the balance is due when we deliver the findings you can act on.
Tell us what you're considering. We'll recommend the diagnostic that answers your open question and scope a fixed fee to get it answered.