Just a moment, logging you in...
A comprehensive program to establish an enterprise-grade AI Center of Excellence (CoE) with Azure-native governance, operating model, and capability building.
What This Engagement Covers
AI Strategy & Operating Model Define vision, mission, scope, KPIs, ownership, and cross-functional responsibilities.
Enterprise AI Readiness & Maturity Benchmarking Assess culture, skills, data, cloud, processes, and governance.
AI Governance & Responsible AI Create frameworks aligned with Microsoft Responsible AI and TRiSM practices.
Platform & Tools Architecture Blueprint covering Azure AI Studio, OpenAI, Cognitive Search, MLOps, Microsoft Fabric, Synapse, monitoring, and security.
Use Case Pipeline Creation 12–18 month pipeline prioritizing value, feasibility, and readiness.
Change Management & Talent Strategy Roles, skills, upskilling pathways, and CoE processes.
Engagement Flow
Discovery & Baseline Readiness Interviews, assessments, current-state documentation.
Strategy & governance design Vision, operating model, governance structures.
Platform Architecture Definition Azure-native architecture mapped to organizational context.
Use Case Pipeline Creation Workshops + prioritization sessions.
Execution Blueprint MVP sequencing, RACI, budget guidance.
Delivery & Wrap-Up Final playbook, roadmap, governance templates, and CoE handbook.
Deliverables AI CoE Charter Mission, KPIs, structure, processes.
Governance Framework Responsible AI, risk, compliance, model lifecycle controls.
AI Operating Model Roles, responsibilities, workflows, skill matrices.
Azure Platform Architecture Blueprint End-to-end reference architecture for AI workloads.
Use-Case Pipeline (12–18 Months) Prioritized list with investment guidance.
Executive Playbook for AI Scale Adoption strategy, rollout plan, change model.