Decision engineering for Physical AI
Decision tools for Physical AI leaders
Test readiness, sourcing, cost, risk and economics before the next irreversible commitment. Deterministic diagnostics, no login required.
Model Strategy Diagnostic
Choose the least-complex viable route—rules, an existing model, governed RAG, fine-tuning, a task-specific SLM or exceptional training—and get the evidence gate.
Run the diagnosticAI Strategy Roadmap Generator
Answer 8 questions about your company and get a personalised AI adoption roadmap with phases, quick wins, and risks
Run the diagnosticEU AI Act Risk Classifier
Describe your AI system and instantly get its EU AI Act risk classification with applicable obligations and compliance timeline
Run the diagnosticAI Project Cost Estimator
Get a realistic European market cost estimate for your AI project factoring in type, data readiness, compliance, and deployment environment
Run the diagnosticAI Vendor Risk Scorecard
Score any AI vendor across data sovereignty, EU AI Act compliance, security posture, lock-in risk, and enterprise SLA quality
Run the diagnosticMake vs Buy AI Decision Matrix
Answer 8 strategic questions and get a data-driven recommendation: Build, Buy, Hybrid, or Partner+Build — with a 3-year cost comparison
Run the diagnosticData Readiness Assessment
12-question diagnostic to score your data foundation and get your estimated time to AI-ready
Run the diagnosticAI Maturity Model
Assess your organisation across 5 AI dimensions and get your maturity level with a tailored roadmap
Run the diagnosticAI ROI Projection Calculator
Project your 3-year return on AI investment with conservative, base, and optimistic scenarios
Run the diagnostic
A score is useful. A decision boundary is better.
Bring the result and the system context to a focused fit call. We will identify what must be proven, changed or stopped before the next commitment.
Review the decisionNeed evidence, not another score?
Move from deterministic diagnostics to live experiments: classify regulatory exposure, inspect plant conditions and test assumptions in the AI Lab.
Open the AI Lab