AI COE and Solution Envisioning Workshop
MAQ Software
Establish an AI Center of Excellence (CoE), identify high‑value AI use cases, and define a clear adoption roadmap using Microsoft’s Common Envisioning Framework and Azure AI best practices
Establish an AI Center of Excellence (CoE), identify high‑value AI use cases, and define a clear adoption roadmap using Microsoft’s Common Envisioning Framework and Azure AI best practices
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 one 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
AI Transformation Offers
This offer is one of three components within the AI Transformation Offer - AI CoE & Solution Envisioning, AI Foundation Architecture, and Generative AI Factory - delivering end-to-end AI transformation on Azure.
Related AI Transformation Offers
AI Foundation Architecture
Design and deploy a secure, scalable Azure AI foundation aligned with Microsoft reference architectures, responsible AI principles, and enterprise security standards.
Learn more
Generative AI Factory: Scaling AI Patterns
Build, operationalize, and scale production-ready AI solutions with enterprise governance, MLOps, monitoring, and continuous optimization.
Learn more