Peter

I run AI adoption from inside your team.

The calm operator who makes AI earn its keep.

The 4× CTO who bridges AI with real work, and knows when not to use it. Systems over hype. ROI over demos. Judgment over automation.

Speaking enquiry →

Bio

A six-year-old with a Commodore 64, then a teenage web freelancer, then 8 years at IBM until the glass ceiling, then 4× CTO and founder through startup chaos. That's how I arrived at the Operator: someone who builds intentional systems that make AI pay off, proven in software (internal AI adoption, 90% of tasks via technology) and in music (Dark Beauty).

20 years in tech: IBM developer/PM, 4× CTO, founder
Runs an internal AI adoption mandate: 90% of tasks done with technology
Founder of Dark Beauty (music label/community helping independent artists)
Performed at Burning Man 3 times (also became a music lead on regional Burning Man events)
Writes publicly on applied AI adoption and “when not to use AI” at ai-operator.dev

Talks

For conference organizers and podcast bookers. Tell me the audience and the slot length, and I'll tell you which topic fits.

Talk topics

Why 95% of AI pilots die, and the boring system design that survives
Running a “90% of tasks” mandate from the inside: what actually changed
Feeling faster vs. being faster: measuring AI adoption honestly
The SME AI maturity ladder: where you really are, and the one next step
Knowing when not to use AI is a competitive skill, for a person and for a company
I build AI systems for companies by day and musicians by night: what each taught the other