Most small and mid-size businesses adding AI systems don't need a full-time CTO. They need someone who has shipped the systems before, who can look at a vendor pitch and say yes or no, and who sits with the team doing the work.
What to build, what to buy
The calls that don't ship code but shape the next year: build it ourselves or buy a tool, one system or three, how much to spend on infrastructure before it's justified.
- Architecture review of existing systems
- Technology selection (stack, cloud, vendors)
- A build-vs-buy framework for each major capability
- A technical roadmap in plain language
Vendor and team oversight
The decisions that lock you in or keep you flexible: which AI model provider, which booking or payment processor, which freelancer or agency actually delivers. We've sat on both sides of these calls.
- AI model and API selection (Claude, OpenAI, and others)
- Payment and booking processor selection
- Hosting, database and auth architecture
- Reviewing work delivered by other vendors or contractors
Hiring and freelancer oversight
When to hire, who to hire, and how to tell if the freelancer you already hired is doing good work. We have hired for these roles and reviewed the code that came back.
- Role definition and technical interviews
- Reviewing freelancer or agency output before you pay for it
- A first-90-day plan for a new technical hire
- A second opinion before a big vendor contract
On-call when it matters
The CTO who fixes the bug, not just advises on it. Production breaks, we triage. A vendor's API changes overnight, we patch it before it costs you a booking.
- Production incident response
- Critical-path fixes
- Security patches and dependency updates
- An escalation path your team can call