AI Trust Network | Citizen Developer AI Readiness & Governance Accelerator
🎯Core Objective: Apply Microsoft's Responsible AI principles and governance frameworks to the solutions built in Day 3. Test for risk, bias, and operational readiness—ensuring each AI solution is trustworthy, compliant, and scalable.
🧑‍🤝‍🧑Participants Involved
Citizen Developers (builders + reviewers)
The hands-on creators and testers of the AI solutions who will implement governance controls.
Business function leads
Domain experts who understand operational requirements and can validate use case alignment.
IT Governance, Risk, or Compliance leads (optional but recommended)
Specialists who ensure solutions meet organizational standards and regulatory requirements.
ByteBrain or Partner Governance Coach / Facilitator
Experts who guide the process and provide best practices for responsible AI implementation.
Key Components & Activities
Deliverables (Client Takeaways)
Comprehensive Documentation
Each deliverable provides tangible evidence of the governance process and creates a foundation for future AI implementations.
Practical Application
Deliverables transform theoretical principles into actionable governance artifacts that can be referenced and replicated.
Risk Mitigation
The documentation suite serves as both proof of due diligence and a roadmap for addressing potential issues before deployment.
Key Messages Reinforced
"AI needs guardrails, not just guidance."
Security & Explainability
Prototypes must be secure, explainable, and human-accountable
Practical Implementation
Responsible AI is practical and operational—not just theoretical
Strategic Direction
Microsoft's RAI framework is your north star for scale and sustainability
These key messages emphasize that governance isn't an afterthought but a critical component of successful AI implementation. By embedding these principles throughout the development process, organizations can build AI solutions that are not only innovative but also trustworthy and sustainable.