
Magnus Sandtorv
Turning complexity into clarity.
I help organizations deploy AI systems that actually work in production. No deck-only consulting. No AI theater.
Most AI initiatives stall after the pilot. I get brought in when organizations need someone who knows how new technology actually lands inside an enterprise, not just how it works in a demo.
I have guided millions of users through platform transitions at Microsoft, from COVID-era emergency scaling from 7M to 100M+ MAU, to migrating 70M students and educators to a completely rebuilt Teams client. AI adoption is the next transition of that scale, and most organizations are hitting the same walls: no architecture, no governance, no rollout strategy. I have been through this before.
I focus on meaningful work, experimentation, and bringing clarity to complex problems.

Ways to engage.
AI Deployment Strategy
Architecture, governance, and rollout planning for AI systems that survive contact with real users and real compliance requirements.
AI Adoption Workshops
Hands-on sessions that get teams past the demo phase. Built for organizations that need people to actually use the tools.
Enterprise AI Automation
Hybrid local/cloud automation architectures with cost controls, failure handling, and governance built in from day one.
Platform Transitions
Stakeholder management, risk mitigation, and change management for technology rollouts at scale. Tested on 70M+ users.
From vague ambition to measurable system.
The spine is deliberately simple: find the value, design the architecture, ship the thing, and prove whether it worked.
Locate the use case that deserves investment.
Workflow mapping, opportunity scoring, and blunt prioritization. The goal is not more AI ideas. The goal is the smallest high-value system worth shipping first.
Ask me anything.
Curious about my experience, skills, or how I can help? Ask my AI assistant. Recruiters: paste a job description for an honest fit analysis.
What others say.
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Some of my achievements.
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