Sandtorv.ai
Available for work
AI opportunity audit → shipped system

Magnus Sandtorv

Turning complexity into clarity.

I help organizations deploy AI systems that actually work in production. No deck-only consulting. No AI theater.

70M+
users migrated through high-stakes platform change
100M+
MAU scaled during emergency growth
4 steps
locate, architect, build, prove
1 owner
strategy and delivery accountable together
About
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.

Magnus Sandtorv presenting at a conference
Services

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.

Method

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.

Phase 01

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.

Workflow inventoryImpact and feasibility scorecardBuild, buy, or ignore recommendationExecutive-ready opportunity brief
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Proof

What others say.

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Track record

Some of my achievements.

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