Who This Is For
We work with specific kinds of teams in specific situations. Being clear about that upfront saves everyone time.
Teams at a specific moment of AI adoption.
Our work is most useful when teams are past the initial experimentation phase and starting to think seriously about how AI tooling fits into their production processes.
Engineering Teams Using AI Coding Tools
Teams where engineers are using AI coding assistants daily, and where there isn't yet a structured approach to reviewing or evaluating the output. The tools are in use, but the governance hasn't caught up.
CTOs and Technical Leads
Technical decision-makers who want an external view on their team's AI tool usage. Sometimes this is prompted by a specific incident. Sometimes it's proactive. Either way, the goal is the same: a clearer picture of what's actually happening.
Product Companies Scaling AI Use
Companies that started with one or two AI tools and now have multiple integrations across different parts of their product development process. The complexity has grown, and the oversight hasn't kept pace.
Teams with Compliance Considerations
Engineering teams in sectors where code quality and data handling have regulatory dimensions. Not every team needs specialized compliance advice, but for those that do, understanding where AI tooling intersects with those requirements matters.
Situations where teams typically reach out.
"We're using AI tools but we're not sure we're reviewing the output well."
This is the most common starting point. AI tools are in use, the team knows they should have a review process, but nobody has had time to design one properly. We help build that process in a way that fits how the team actually works.
"Something went wrong and we think AI-generated code might have been involved."
Post-incident evaluation is a legitimate and useful engagement type. We look at what happened, whether AI tooling was a contributing factor, and what changes to process would reduce the likelihood of recurrence.
"We're about to adopt a new AI tool and want to do it thoughtfully."
Pre-adoption evaluation is worth doing. Understanding what a tool does, where it fits in your workflow, and what review structures you'll need before you adopt it is considerably easier than figuring that out after it's embedded in your process.
"Our board or investors have asked us about AI risk and we need a clear answer."
External pressure to demonstrate AI governance is increasingly common. We can help you produce documentation and a risk register that gives a clear, honest account of how your team uses AI tools and what oversight is in place.
Where we're probably not the right fit.
Being specific about where we don't help is as important as describing where we do.
We don't provide general software development consulting, AI product strategy, or vendor selection advice. We're not a managed security service, and we don't offer ongoing monitoring or incident response.
If your primary question is "which AI tool should we buy," that's not what we do. Our work starts once the tools are in use and the question becomes "how well are we using them and what are we missing."
Ask Us Directly
Not sure if we're the right fit? Ask us.
A short conversation is usually enough to figure out whether what you're dealing with is something we can help with. No commitment required.
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