Citizen Developer AI Readiness & Governance Accelerator
AI Trust Network Enablement
5-Day Sprint – Expectations by Day
Goal: Set a strong foundation by aligning stakeholders, understanding business goals, and identifying high-impact, low-risk AI use cases.
Assess team readiness and culture around AI
Align to Microsoft stack components already in use (Copilot, Azure AI, Fabric)
Introduce core principles of Responsible AI
Prioritize use cases by business function
Goal: Upskill business users (Citizen Developers) through interactive, function-specific sessions that build AI fluency using Microsoft tools.
Learn how to use Copilot in Microsoft 365 (Word, Excel, Outlook, Teams)
Participants gain practical experience with AI-powered productivity tools in familiar applications.
Prompt engineering basics for non-technical users
Teams learn how to craft effective prompts to get the best results from AI assistants.
Copilot Studio walkthroughs for building simple automations
Hands-on experience creating no-code AI solutions for business processes.
Responsible AI embedded in everyday actions
Practical guidance on applying ethical AI principles in daily work.
Goal: Turn the use cases from Day 1 into functional prototypes using Copilot Studio and Azure OpenAI.
Use templates and guided labs to build AI-powered workflows
Accelerate development with pre-built components and step-by-step guidance.
Connect to relevant data sources (via Fabric or Excel/SharePoint)
Integrate enterprise data to create context-aware AI solutions.
Add human-in-the-loop checkpoints
Ensure appropriate oversight and approval processes within AI workflows.
Begin testing and documentation for reuse
Validate functionality and create resources for future implementation.
Goal: Stress-test the use cases through real-world scenarios, identify risks, and apply Microsoft's Responsible AI Standard to operationalize safeguards.

Simulate edge cases and user scenarios
Test AI solutions against challenging situations to identify potential issues

Map use cases to governance playbooks
Address bias, privacy, and explainability concerns

Walk through Microsoft's AI Risk & Harm templates
Apply structured assessment tools to evaluate potential impacts

Adjust workflows based on governance findings
Refine solutions to incorporate safeguards and mitigations
Goal: Demonstrate outcomes, align executive buy-in, and launch a roadmap for long-term adoption—including change management and AI champions.
Team showcase of built use cases
Participants demonstrate their functional AI prototypes and share learnings from the development process.
Executive readout: wins, risks, next steps
Structured presentation of achievements, identified challenges, and strategic recommendations for leadership.
Define AI Champion roles per department
Establish ongoing support structure with designated experts to drive continued adoption across business units.
Deliver 30/60/90 adoption roadmap
Provide clear timeline and milestones for implementing AI solutions at scale throughout the organization.
Change Management & Adoption
Ensuring long-term success through structured organizational change approaches.

Sustained Adoption
AI fully integrated into daily workflows
AI Champions Network
Departmental experts driving continued usage
Prosci-based Change Toolkit
Structured approach to managing transition
30/60/90 Day Roadmap
Clear milestones for implementation
The optional Change Management toolkit (Prosci-based) provides a structured framework to ensure that AI adoption becomes embedded in organizational culture and daily practices.
Sprint Outcomes & Business Impact
Measuring the success of the 5-day sprint through tangible business results.
5
Sprint Days
Intensive, structured program
3+
AI Use Cases
Functional prototypes built
90
Day Roadmap
Clear implementation plan
100%
Microsoft Stack
Leveraging existing investments
The 5-Day Sprint delivers immediate value through functional AI prototypes while establishing the foundation for long-term adoption through upskilled teams, governance frameworks, and structured change management approaches.