Multinational Enterprise: AI Readiness Assessment & Transformation Roadmap
Turning 22 disconnected AI pilots into a unified, governed enterprise AI operating model with 6 production deployments in 9 months.
A 6,000-employee enterprise holding group had invested in AI across subsidiaries — but with no shared infrastructure, no governance, no pathway to production and no unified strategy. MTC conducted an enterprise AI readiness assessment and designed and implemented an AI operating model that scaled 6 pilots to production within 9 months.
Enterprise AI Stack™ Layers Involved
The Challenge
- 22 disconnected AI pilots across 8 subsidiaries — none in production
- No shared AI infrastructure, data platform or MLOps capability
- No AI governance framework, risk policy or accountability structure
- Duplication of vendor spend: 14 separate AI vendor contracts with overlap
- Board pressure to demonstrate AI ROI within 12 months
- No AI talent strategy — dependency on external consultants for all AI work
Solution Architecture
- Enterprise AI Readiness Assessment across all 8 subsidiaries
- AI operating model design: centralised CoE with federated delivery
- Shared AI platform: feature store, model registry, MLOps pipeline, monitoring
- AI governance framework and risk policy aligned to EU AI Act
- Portfolio rationalisation: 22 pilots prioritised to 6 high-value production candidates
- AI talent strategy: capability framework, hiring plan, training programme
- Vendor consolidation: 14 contracts reduced to 4 strategic partnerships
Implementation Phases
Phase 1 (Months 1–2)
Readiness Assessment
AI estate audit, capability assessment, data maturity review, governance gap analysis, portfolio scoring.
Phase 2 (Months 3–4)
Operating Model Design
AI CoE design, governance framework, platform architecture, talent strategy, portfolio prioritisation.
Phase 3 (Months 5–9)
Production Deployments
6 priority pilots taken to production with governance, monitoring and business owner accountability.
Phase 4 (Month 10+)
Embedding & Scale
CoE operational, governance embedded, quarterly AI portfolio reviews, talent development ongoing.
Key Outcomes
Governance Approach
Full AI governance framework designed and implemented. EU AI Act risk classification for all 6 production deployments. Board reporting structure, accountability matrix, ethics policy, ongoing quarterly review.
Security Architecture
Data governance audit across all 8 subsidiaries. Unified data classification policy. Vendor security assessments. Centralised access control for shared AI platform.
Facing a Similar Challenge?
Every enterprise AI engagement begins with an assessment. We'll understand your systems, data and objectives before recommending an architecture.