Burnout isn’t just a productivity issue — it’s a recognized medical condition (ICD-11). Meanwhile, millions now turn to tools like ChatGPT for coaching, daily motivation, or even stress self-management. However, this rapid shift opens critical questions around privacy, regulatory compliance (GDPR, HIPAA, mental health guidelines), and responsible deployment.

In this session, we’ll explore how to build secure, regulation-aligned multi-agent coaching systems using the new Azure AI Foundry, a powerful framework for orchestrating “Agentic AI.” You’ll see how to move beyond simple chat to create goal-driven agents that sense, plan, act, and adapt — all while ensuring data is protected with Trustworthy & Responsible AI principles, content filtering, and confidential inference compute.

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⚙️ Key highlights
• Why Azure?
• Azure offers a unique stack with enterprise-grade compliance certifications, confidential computing, and advanced governance to meet tough health-sector standards.
• Microsoft’s global startup programs actively support PoCs in wellbeing & mental health, accelerating time-to-market.
• Why it matters:
• Users rely on AI coaches for deeply personal goals — burnout prevention, habit building, leadership resilience. Getting this wrong is both an ethical and compliance risk.

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🚀 Live technical demo
• We’ll build a multi-agent coaching system on Azure AI Foundry, showing:
• Data ingestion from calendar + CRM signals (via Graph APIs & Event Grid).
• A reflection agent (using OpenAI) that generates tailored micro-habit suggestions.
• A planner agent that auto-schedules deep work or wellbeing slots.
• A trust guardrail: content filters & policy checks via Azure Content Safety.
• Confidential inference compute protecting sensitive user data end-to-end.
• Wrap with live dashboards showing progress tracking and policy audit logs.

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✅ Takeaways
• Learn how to design with Trustworthy & Responsible AI by default (auditing, explainability, user controls).
• See practical blueprints for protecting mental health data in coaching contexts.
• Understand how Microsoft’s ecosystem makes it simpler to build, govern, and scale AI-powered wellbeing tools.