Introduce AI the right way.
Before you build it, assess it.
One platform to assess an AI idea, plan the proof of value, monitor the controls, and prove the return — grounded in NIST, the OECD, lean experimentation and our own VALUE-AI Method. Built for regulated environments where governance comes first.
Aligned to the standards you’ll be held to
NIST
AI RMF 1.0
Govern · Map · Measure · Manage
VALUE-AI
Method (LyboAI)
Our operating disciplines
OECD
AI Principles
Human-centred & accountable
LEAN
Build–Measure–Learn
Prove value in weeks
From idea to proven value — on one framework
You do everything on the platform: assess the idea, put up the plan, monitor the controls, and prove the value. Every step is anchored to established principles, so the decision is defensible end to end.
Assess the idea
Score any AI idea against a 10-dimension suitability model. The platform tells you if AI is even the right answer — before a dollar is spent.
- 30-question assessment
- Suitability score + risk overlay
- Honest “not yet” when data isn't ready
Build the plan
Turn a qualified use case into a Proof-of-Value plan: the pattern, the data, the oversight model, the metrics, and the decision criteria.
- Pattern recommendation
- Human-in-the-loop design
- PoV charter & baseline
Monitor the controls
Run the PoV with the controls live — audit trail, correction and escalation rates, drift — so governance is provable, not promised.
- Risk register & controls
- Oversight & audit trail
- Decision gates at each stage
Prove the value
Measure against the baseline and produce a board-ready recommendation: proceed, pause, redesign, or reject — with the evidence attached.
- Metrics & ROI model
- Executive summary
- Scale-up decision
One framework. Every AI decision.
Stop stitching AI adoption together from slide decks, spreadsheets, and gut feel. Assess, plan, govern, and measure every use case in one consistent, standards-based method — so leadership sees the same evidence every time.
Risk can veto value
A high-value use case with unmanaged risk does not proceed — the override beats the score.
Humans stay accountable
Every use case names who reviews, who approves, and who owns errors.
Measurable or it didn't happen
Baseline, target, owner, and method — defined before the build starts.
Assess it. Introduce it. Enable it.
Whether you’re deciding on your first use case or rolling Claude out across the organisation, it’s the same framework at every stage.
AI Proof of Value
Decide whether a problem actually needs AI, score it, and design a proof of value that ends in a real decision.
Explore IntroduceAI Governance & Rollout
Introduce AI in a regulated environment with the risk register, oversight model, and decision gates built in.
Explore EnableClaude Setup & Enablement
Roll Claude out safely across engineering and business teams — operating model, security, connectors, and a phased roadmap.
ExploreWhere getting AI wrong has consequences
Regulated organisations don’t adopt AI more slowly because they’re cautious — they adopt it differently, because errors have legal effect. This framework is designed for exactly that.
Government
Automated-decision, record-keeping, and explainability expectations handled from day one.
Health
Protected data, human accountability, and safety controls before any model touches a workflow.
Finance
Restricted data, audit trails, and no unreviewed output to customers or regulators.
Regulated enterprise
Legal, utilities, and critical infrastructure that need governance provable, not promised.
Private by design. The free assessment keeps nothing unless you save it. Your platform data is isolated to your account and deletable anytime.
Start with one idea. Prove it in weeks.
Run the free assessment, get the pattern pack, or have us facilitate the whole thing with your team.