AI governance is fragmented
GAMM turns it into a system
Most organisations rely on policies, controls, and documentation.
But AI decisions are executed in production — not on paper.
GAMM™ defines, assigns, and enforces AI decisions end-to-end.
Compliance proves you followed the process.
It does not prove you are in control.
The Pilot Trap
50+ AI pilots running.
Zero scaled to production.
Investment without defined decisions, ownership, and control.
Working pilots ≠ scalable systems
Governance Gaps
AI expansion blocked by decision gaps, accountability blind spots, and governance failures consulting reports miss.
Compliance ≠ control
Platform Failures
Runtime gaps emerge when data, integration, and operating models cannot enforce control in production.
Execution ≠ correctness
The GAMM™ Platform
Decision-grade AI governance intelligence that quantifies the control, decision, and runtime gaps.
Beyond what consulting reports can surface.
Decision-grade readiness scoring
GAMM™ evaluates five critical dimensions:
data foundations, platform readiness, governance controls, operating models, and product integration.
Scoring is constrained by governance caps — so compliance cannot be mistaken for control.
- Weighted, control-aligned scoring
- Governance caps prevent misleading "green light" signals without accountability
- Longitudinal tracking reveals true maturity progression and runtime gaps
Average assessment time
Critical readiness dimensions
Scoring and roadmap generation
Two ways to engage GAMM™
GAMM™ is designed for organisations moving from pilots to production. Not for experimentation-stage teams.
Start with a baseline
Enterprise engagement
Decision-grade outputs. Not consulting theater
Quantified Readiness Score
Clear readiness score (0-100) across five GAMM™ dimensions, tied to control and accountability. No ambiguous "red/yellow/green" without context.
- • Dimension-level scoring
- • Capability cluster breakdown
- • Weighted overall score
Risk & Gap Analysis
Decision gaps, compliance exposure, and platform blind spots that block scale.
- • Critical blocking gaps identified
- • Risk accumulation patterns
- • EU AI Act alignment check
Phased Investment Roadmap
Sequenced actions based on structural dependencies and runtime constraints. Now / Next / Later priorities that close the decision and runtime gaps.
- • Foundation-first sequencing
- • Governance-constrained progression
- • Platform vs. pilot decisions
Longitudinal Tracking
Track progress over time to validate control, surface runtime regressions, and prove ROI.
- • Historical comparison
- • Trend analysis
- • Regression detection
Industry benchmark data is emerging
As enterprises use GAMM™, a proprietary dataset of control, decision, and runtime signals is formed across industries.
All benchmark data is derived from completed GAMM™ assessments and normalized across governance, platform, and runtime maturity.
First AI Readiness Index
Tracked and benchmarked
Aggregated and anonymized
Designed for decision accountability
Stop funding AI that won’t scale
Sequence investment with confidence. Know what is ready to scale — and what requires control, governance, or platform work first.
Platform gaps, not model gaps
Surface infrastructure and runtime gaps before they derail AI initiatives. where technical debt meets AI strategy.
Governance caps — not compliance theater
Governance caps tie progression to accountability,risk and control. Because compliance is not control.
Infrastructure — not advice
Most organisations buy advice. Very few build control.
| Traditional AI Consulting | GAMM™ Platform | |
|---|---|---|
| Focus | Use case recommendations | Decision system readiness and governance assessment |
| Deliverable | Slide decks with insights | Decision-grade scores and roadmap |
| Repeatability | Project-based, variable quality | Framework-driven, consistent outputs |
| Governance | Advisory recommendations | Governance caps that tie compliance to control |
| Time to value | 3-6 month engagements | 30 minutes to 2 weeks |
| Longitudinal tracking | None (one-off projects) | Built-in reassessment |