Alejandro Araujo Rajzner
AI architect. Health tech founder. The person who reads the compliance docs so you don't have to.
Zürich, Switzerland
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Alejandro Araujo Rajzner is a Telecommunications Engineer, Microsoft Certified Trainer, and Azure AI Architect who has spent the last several years doing one thing: making AI actually work in the real world — securely, responsibly, and at scale.
He coaches Microsoft employees and top global partners on data, AI, and Copilot at L200 through L400 in collaboration with lab providers including Technofocus, Skillable, and Spektra Labs. He has presented at the Microsoft AI Tour, the North America MCT Summit in Redmond, and community events across Europe, the Middle East, and Asia.
He is also the founder of GDO Health GmbH, a Swiss health tech startup using privacy-preserving generative AI to expand mental health access for Spanish-speaking populations — built with clinical partners, Swiss data residency, and zero tolerance for shortcuts.
His current obsession: helping organizations move from AI experimentation to agent-first operating models that hold up under scrutiny. He serves on the AI Certs Advisory Board and spends a lot of time thinking about who is liable when the agent gets it wrong.
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El agente decidió. Ahora explícalo tú.
Tu agente de Copilot está en producción. Responde correos, resume reuniones, busca en SharePoint, dispara flujos. Nadie lo para. Nadie lo supervisa. Y el día que haga algo que no debía, te van a llamar a ti.
En esta sesión vamos al fondo del problema: qué ocurre cuando un agente de Copilot Studio actúa de forma inesperada, por qué los permisos de SharePoint que nadie revisó son ahora un riesgo real, y qué herramientas tienes hoy mismo en el stack de Microsoft para no llegar a esa conversación con Legal sin respuestas.
Sin humo. Sin demos de catálogo. Casos reales, decisiones reales, y las preguntas que tu organización debería hacerse antes de que alguien se las haga por ti.
Lo que te llevas:
Un modelo mental para evaluar el riesgo de un agente antes de desplegarlo
Los controles concretos que tienes en M365 hoy: Purview, sensitivity labels, permisos de Graph, Copilot Studio
Las preguntas exactas para las conversaciones difíciles con stakeholders no técnicos
Guardrails First: A Practical Playbook for AI Risk, Compliance & Privacy in the Microsoft Ecosystem
Organizations are deploying Copilot and AI agents faster than they’re governing them, and with the EU AI Act’s August 2026 enforcement deadline approaching, the cost of “figure it out later” just got real. This session delivers a practical, Microsoft-native playbook for building layered guardrails across four dimensions: data classification and access boundaries, AI interaction controls, privacy risk management, and audit-ready oversight. You’ll see how Purview, Priva, Defender for Cloud, and Entra map to specific failure modes, and leave with a rollout checklist that proves control without killing velocity.
From Copilot to Agents: Turning Daily Work into Measurable Outcomes
Many organizations have started with Microsoft 365 Copilot but still treat it as “a smarter search box.” This session shows business and project leaders how to turn those early wins into end-to-end outcomes powered by agents. We’ll walk through three tangible patterns:
Customer email → triaged, summarized, and routed by an agent;
Sales opportunity → notes, next steps, and proposal draft prepared automatically;
Internal request → approval flow with an agent doing the heavy lifting.
For each, we’ll map the business owner, data needed, risks, and KPIs (time saved, cycle time, quality). You leave with a small playbook of patterns you can take straight into your next customer or internal project.
Alejandro Araujo Rajzner
AI architect. Health tech founder. The person who reads the compliance docs so you don't have to.
Zürich, Switzerland
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