About me
Who is Chris Landtiser,
and why is he in AI?
Because the tools finally got good enough to matter, and most people still don't have anyone honest helping them make sense of it. I lead enterprise AI adoption, and I care more about what a tool does on a normal Tuesday than what it does in a demo.
The short version
Chris Landtiser leads enterprise AI adoption. He grew Microsoft 365 Copilot from a 300-person pilot to 10,000 users at Huron, a global professional services firm, leading a team covering governance, training, and champion communities. He is a Microsoft MVP for M365 Copilot, a Claude Certified Architect, and a Prosci Certified Change Practitioner. He writes at landtiser.com, speaks at conferences and universities, and publishes free hands-on AI labs through his Activate series.
Credentials, briefly
Microsoft MVP for M365 Copilot.
Recognition from Microsoft for community work helping people adopt Copilot well: speaking, writing, and hands-on training. Mostly it keeps me close to what actually trips teams up.
Claude Certified Architect.
Anthropic's certification for designing and deploying Claude-based solutions. I work across vendors, because your problems don't care who made the model.
Prosci Certified Change Practitioner.
The hard part of AI adoption was never the technology. It's getting people to change how they work, which turns out to be a real discipline with research behind it. I trained in it instead of winging the human half.
How I approach AI
I see a future where AI is as unremarkable as spreadsheets: powerful, useful, and completely integrated into work. Getting there means putting people first and shipping things that work.
Start with problems, not solutions
Too many AI projects start with 'let's use AI.' I start with 'what's actually broken?' Sometimes AI is the answer. Sometimes it's a better spreadsheet. Both are valid.
Augment, never replace
AI digests data and finds patterns people might miss. The final call is always human. Context, ethics, and judgment stay with the person doing the work.
Test, learn, scale
Small pilots with clear success metrics. If it works, expand. If it doesn't, we learned something cheap. No big-bang rollouts based on promises.
In Practice
Where the Work Actually Happens
The best AI adoption doesn't happen in a strategy deck. It happens in hallway conversations, hands-on workshops, and the moment someone realizes the tool actually makes their day easier.
That's where I like to be: in the room, meeting people where they are, and turning curiosity into real, confident use. One-on-one or in a conference hall, the goal is the same: practical skills people keep using long after I leave.
Working together
Booking a speaker, weighing an AI strategy, or just want to compare notes? Get in touch.