AI Catalyst
From first idea to investment verdict and Executive Brief — AI use case evaluation with a 4-persona Executive Review Panel, Monte Carlo projections, your organisation’s real compliance context, and a complete AI token economics control framework.
Why do 73% of enterprise AI projects never reach production?
Enterprise teams generate hundreds of AI ideas. Without a structured evaluation framework, resources get committed to the wrong initiatives — ones with low strategic alignment, poor data readiness, mismatched platforms, or governance gaps discovered only after significant investment.
AI Catalyst replaces opinion-driven prioritisation with a disciplined, reproducible process — from first idea to investment committee verdict.
End-to-end AI investment evaluation
Nine integrated capabilities — from multi-enterprise workspace management to a live 4-persona Executive Review Panel and a 13-tool AI token economics control framework — each mapped to a published framework or governance standard.
Multi-Enterprise Workspaces
Manage multiple enterprises in one platform. Each workspace has its own enterprise profile (tech stack, Microsoft licensing, compliance, AI budget), department LOB profiles, and scoped use case portfolio.
BXT Gate Evaluation
Every idea passes a Business × Experience × Technology gate — aligned to Microsoft's official AI pre-filter. Only viable use cases advance to scoring, preventing wasted evaluation effort on weak ideas.
4-Framework Scoring Engine
Deterministic scoring across CAF for AI (0–100), McKinsey quadrant (Quick Win / Strategic Bet / Foundation / Defer), MIT Sloan readiness (Data / Talent / Strategy), and Gartner AI maturity gap — all from your enterprise profile, zero extra AI calls.
Org-Specific ROI Engine
Calculates 24-month ROI, payback period, and 3-year NPV from your actual staffing costs and process volumes. Monte Carlo simulation produces conservative / expected / optimistic ranges with probability of positive ROI.
MAIDF Sequential Gate Advisory
True Microsoft AI Decision Framework — three sequential gates (M365 sufficiency → Low-code viability → Build necessity) determine the right platform tier. Start Simple Mandate ensures Phase 1 always begins at the simplest viable tier.
Executive Review Panel
Simulates a real enterprise approval process: Business Sponsor, Risk & Assurance Officer, Chief Information Officer, and Committee Chair each deliberate in their authentic voice. Live streaming deliberation with canvas-style decision artifact. MAIDF compliance gates the verdict.
Governance & Responsible AI
Auto-generates a tailored governance checklist aligned to Microsoft's 8 CoE adoption pillars, EU AI Act tiers, and your data sensitivity posture. PII handling, audit trail, and compliance framework gaps surfaced at intake.
Pipeline, Comparison & Brief
Kanban pipeline tracks each use case from intake to approval. Side-by-side comparison across up to 4 use cases. 3-page Executive Brief with Monte Carlo projections, committee deliberation summary, and platform-confirmed ROI.
AI Token Economics
A 13-tool control framework that turns opaque AI spend into measurable cost-per-outcome. Learn mode makes the problem visceral with live demos; Act mode walks you through Inform → Optimize → Operate with calculators, scorecards, and an executive summary.
AI Token Economics
Enterprise AI teams can’t optimise what they can’t see. Token Economics gives CXOs a 13-tool control framework that turns opaque AI spend into a measurable cost-per-useful-outcome — the North-Star KPI that reframes the CFO conversation from “how much are we spending?” to “what are we getting?”
See every token — metering, cost attribution, and spend visibility across models and agents
Cut the waste — caching, routing, prompt compression, and outcome-based pricing calculators
Keep it cut — governance scorecards, policy enforcement, and continuous control monitoring
Six disciplined gates — from idea to investment decision
Every use case travels the same rigorous funnel. Enterprise and LOB context flows through every gate, making each evaluation specific to your organisation — not a generic benchmark.
Built on four industry-recognised frameworks
Every score, recommendation, and governance item traces back to a published standard. All four frameworks are computed deterministically from your enterprise profile — no additional AI calls.
Microsoft AI Decision Framework
Microsoft Cloud Adoption Framework
McKinsey AI × MIT Sloan
Gartner AI Maturity + ROI Benchmarks
Start evaluating your first AI use case
Set up your enterprise workspace first — it takes 5 minutes and powers every score, ROI projection, and platform recommendation with your organisation's specific context.
Manage portfolio, review investment decisions, and track ROI across your enterprise AI initiatives.
Submit a new AI use case for evaluation. The platform scores it against frameworks and builds your business case.
Set up your enterprise workspace, configure LOB profiles, and manage model settings for your organisation.
Measure, control, and optimise enterprise AI costs with a 13-tool token economics framework — from visibility to governance.