The AI Native CIO
I can help your CIO. I can act as your interim CIO to get AI implemented. And, after your company is AI Native, I can help you find and onboard your full-time CIO. Either way, the job is the same: your AI vision, infrastructure set up, plan built, execution started, usage and benefit tracked, and consistent proof it is working.
Who it's for
Companies that are leading, or gaining on the leaders, in their industry, or worried that they are trending backwards: big enough to have all the complexity, not big enough to have the time to understand and build AI infrastructure. Real technology businesses (typically not AI startups), and the investors who back them. If you're tech-competent, AI-hungry, but missing that AI-native DNA to lean on, this was built for you.
Three phases, weeks not quarters
Kickoff and Envisioning
About four weeks, ramped to how your team absorbs change.
- An honest assessment of where your team and leaders stand on AI
- Envisioning sessions built on real working examples, not slideware
- The first working artifacts, shipped during envisioning itself: a dashboard, a page, a skill
- An incremental improvement plan: quick, sequenced, measurable
- Success metrics and the usage dashboard, live from day one
Execution
Four to eight weeks. Put it to work.
- Infrastructure built out: what you actually need, up and running
- Tool fit, licensing, and vendor decisions made and executed
- Your own agent-building capability stood up, with the first citizen developers active
- Agents in production on real workflows, and the portfolio growing rapidly around them
- Weekly check-ins on status, usage, build-outs, and economics
Transformation
Four to eight weeks. The company becomes self-sufficient.
- Adoption validated on real data: viral usage growth, unprompted sharing, citizen developed agents
- Reporting structure and executive cadence installed
- Builder culture spreads like wildfire
- Scaling, expansion, and rethinking existing processes with the AI mindset
- Optional: the search for your long-term technology leader
Working proof, at two speeds
From the first weeks, proof of value arrives as things that run: dashboards, web pages, skills, and simple flows built with what you already have, then agents on real workflows, and eventually full applications. The fast layer creates belief and never waits on process redesign. The deep layer, agents on redesigned workflows, comes with continuous improvement behind it.
Agentifying a bad process just gives you a faster bad process. We ship at pace, fix the flow, and iterate rapidly.
And we start with what you have. The plan begins with today's problems, today's tools, and today's data, written knowing you will outgrow it. As your organization transforms to AI native, it starts thinking about its problems and solutions totally differently. The moment you rewrite the plan yourselves is the moment the transformation becomes real.
The engagement model
Fixed-price phases with defined deliverables, not hourly billing. You always know what you're buying, what it costs, and what done looks like. The method is E3, documented in the open: the overview in slides.