AI governance
Make AI useful and controlled.
I turn ad hoc AI usage into a controlled workflow: clear tasks, project memory, Claude/Codex execution, review, validation, and human ownership of releases.
Services
When software work stalls, I help it move again.
I help when a product should move faster, but architecture, legacy, scattered context, or unmanaged AI keeps slowing the team down.
First output
Clarity on what blocks progress
Delivery
A process the team can run
AI
Faster execution under human control
Where I help
Turn unclear work into a system the team can use.
The work usually starts with a practical question: what is blocking progress, what is risky, and what should change first?
Delivery structure
Give the team a cleaner way to move.
Vague work becomes smaller decisions, visible changes, and a review process with clear responsibility before production.
CTO-level judgment
Make technical choices easier to trust.
I help align architecture, priorities, technology choices, risk, and delivery planning around the business outcome.
Product foundation
Turn a promising idea into something buildable.
The idea becomes a prototype, MVP base, architecture decision, or delivery plan that can be judged and improved quickly.
Legacy modernization
Move old systems forward without a risky rewrite.
We decide what to protect, what to modernize, and how to reduce risk in stages while the business keeps operating.
Engagement options
Three practical ways to start
Start small. Expand only when the value is clear.
1-2 weeks
Technical Clarity Sprint
A compact audit of architecture, delivery, AI use, risk, and bottlenecks. You get a roadmap, priorities, and next steps the team can act on.
2-4 weeks
AI Delivery System Setup
Claude/Codex workflow, project memory, skills, review rules, validation, and clear boundaries for human approval.
Ongoing
Fractional CTO / Architecture Partner
Senior technical leadership for architecture, delivery decisions, team direction, modernization, reviews, and AI workflow evolution.
Best fit
When it makes sense to bring me in
You need senior technical judgment without adding permanent overhead.
The team needs delivery structure, not more scattered tasks.
AI is already in use, but the business needs control and accountability.
Legacy, enterprise complexity, or product uncertainty is blocking the next stage.