AI COE and Solution Envisioning Workshop

Key Benefits

• Establish a clear AI CoE operating model with governance and adoption strategy
• Identify and prioritize AI use cases using a structured AI Patterns Scorecard
• Align business scenarios to AI capabilities and Microsoft AI architectures
• Reduce risk and accelerate time‑to‑value with validated AI use cases
• Gain clarity on crawl‑walk‑run adoption roadmap and next steps

Agenda

1. AI CoE Introduction & Strategy (Duration: 1 hour)

• Define AI vision aligned to business goals
• Establish AI CoE structure, roles, and governance
• Create AI adoption strategy and success metrics

2. Business Envisioning (Duration: 4 hours)

• Identify priority business scenarios and outcomes for AI
• Apply Microsoft Common Envisioning Framework
• Align stakeholders on business value, scope, and success criteria

3. AI Use Case Scorecard & Prioritization (Duration: 2 hours)

• Identify AI use cases across business functions
• Readiness score based on value, feasibility, and risk
• Build phased AI adoption roadmap

4. Capability Envisioning (Duration: 3 days)

• Identify required AI, data, platform, security, and operating capabilities
• Assess current‑state vs. required‑state readiness
• Design high‑level AI solution architectures aligned to Azure AI services

5. Rapid Prototyping (Duration: 1-2 weeks)

• Prototype a prioritized AI use case
• Validate the effectiveness of the prototype in addressing business use case
• Provide recommendation for scaling and broader rollout

Deliverables

• AI Center of Excellence (CoE) Charter and Operating Model
• Business & Capability Envisioning artifacts
• AI Use Case Inventory and Prioritized Scorecard
• Phased AI Adoption Roadmap
• Rapid Prototype and recommendations

Prerequisites

To conduct this program, we will need:

• Access to key business, IT, and data stakeholders
• Access to Sample or production data for prototyping
• Access to Microsoft Azure resources

Target Audience

• Business Leaders and CXOs
• Enterprise Architects
• IT, Data, and AI Leaders
• Digital Transformation and Innovation Teams

Why MAQ Software

• AI First approach: Proven experience with Azure AI architectures
• Structured, security‑first approach to enterprise AI adoption
• Deep expertise in AI governance, adoption, and scalable implementation
• Aligned with Microsoft’s Common Envisioning Framework and funding motions

Begin your AI CoE & Solution Envisioning engagement today. Contact us at customersuccess@maqsoftware.com