Your team builds it.
We make sure they succeed.
Your internal developers already know your systems better than any outside team ever will. We train, facilitate, and coach them through building AI capabilities in-house — so the knowledge stays where it belongs.
Why We Don't Build It For You
They build it. You depend on them.
- Contractors learn your systems, then leave
- Your team inherits a black box they don't understand
- Every change needs to go back through the vendor
- Institutional knowledge walks out the door
- Results: projects that don't get maintained
Your team builds it. They own it completely.
- Internal devs already know your systems
- They build it — so they understand every part of it
- No external dependency after we leave
- Knowledge compounds inside your organization
- Results: AI that actually gets used and evolved
External Facilitation for Internal Teams
Strategic Offsites
Align leadership and engineering on where AI fits and what to build first. The right framing before the first line of code.
- AI opportunity mapping for your operations
- First project selection and scoping
- Leadership buy-in and alignment
- Roadmap for what follows
Team Training
Get your engineers up to speed on AI tooling, LLMs, and how to build with them. Practical skills, not theory.
- Hands-on workshops with your stack
- LLM fundamentals and prompt engineering
- Architecture patterns for AI products
- AI-augmented development workflows
Project Facilitation
Guide your team through the full build — from architecture to launch. We keep the project moving and unblock the hard parts.
- Sprint-by-sprint guidance and review
- Architecture and model selection support
- Integration strategy for existing systems
- Quality and testing frameworks
Ongoing Coaching
A thought partner for the founder and a guide for the team as your AI capabilities grow beyond the first project.
- Regular check-ins and strategy sessions
- Async support on hard decisions
- Next project identification and scoping
- Team capability review and growth
How This Looks in Practice
Camomile — CS Intelligence Layer
VistaJet's customer support team handled thousands of complex, high-stakes requests daily — flights, clients, preferences, real-time status, all across time zones. Agents needed instant context before every interaction, and getting it meant switching between multiple systems while the clock was ticking.
Mikhail drove the strategy: identify the problem, define what the tool needed to do, and support the process. The tool itself was built by Andrey — one internal software developer who already knew VistaJet's systems, had the relationships with other teams, and could integrate Camomile into the existing stack without disruption.
That's the model. Andrey didn't need to hand anything off when the project ended — he built it, he owns it, he can evolve it.
Two People Need to Be in the Room
A founder or leader who wants to move on AI
You see the opportunity — AI could change how your team works. You just need the strategic clarity to know where to start and a thought partner with real AI-in-production experience to help you get there.
- Wants to move fast but needs a grounded strategy
- Can champion the initiative internally
- Wants to build a capability, not buy a dependency
An engineering team ready to build it
Your developers know your systems better than anyone. They may not have deep AI experience yet — but with the right training and facilitation, they're the best people to build this. That's who we work with.
- Strong engineers, new to AI tooling
- Embedded in the business, know the context
- Will own and maintain what gets built
How We Work Together
Do you have a team that should be building AI?
Tell us about your team and what you're trying to build. If there's a fit, we'll figure out how to make it happen.