Three ways we work.
We work in focused engagements. No retainers, no vague roadmaps. You bring a workflow that costs real hours. We build the tool, deploy it, and hand it off.
Audits
Before you commit to a build, you want to know what's worth automating and what it costs. The audit is a one-week diagnostic. We map one workflow end-to-end — every handoff, every tool, every place a person waits on another person.
We identify the steps an AI tool could own, the steps it shouldn't, and the integration work each one needs. Then we write a plan: scope, sequencing, and cost estimates you can take to a budget conversation.
The plan is yours. If you take it to another shop, or build it in-house, that's fine — the audit stands on its own. We'd rather you start with a clear picture than a half-scoped engagement.
- An end-to-end map of one operations workflow
- A ranked list of steps an AI tool could own
- Integration notes for each candidate step
- A build plan with scope, sequencing, and cost estimates
Builds
You have a workflow someone runs by hand every day — reading messages, updating records, moving data between tools. We build an AI tool that owns it. This could be an agent wired directly into your stack, or an automation built in Make or Zapier. Whatever fits your systems.
We start from your real data and your real constraints. The tool gets a defined scope, runs on top of the systems you already have — Postgres, Notion, Slack, Telegram, WhatsApp, your internal CRM — and does the manual work while you keep the data exactly where it was.
At the end you get a deployed service, the source, and a handoff session. No SaaS subscription, no per-seat license, no dependency on us to keep it running.
- A deployed AI tool wired into your existing systems
- Source code and infrastructure config, owned by you
- A handoff session so your team can extend it
- Observability so you can see what the tool did and why
Support
Some teams don't want a tool handed to them — they want to learn to build AI tools themselves. We pair-program with your engineers, review code, and build alongside them on real work.
By the end, your team has shipped with us and knows how to keep shipping without us. No ongoing license, no SaaS lock-in, no support contract that quietly renews. We're done when your engineers don't need us.
This works best for teams with at least one or two engineers who can take the practice forward. If that's not you yet, a build is the better place to start.
- Three months of embedded, hands-on engineering
- Pair-programming and code review with your team
- AI tools shipped on your real workflows, together
- A team that can keep building after we leave
Not sure whether AI can help? Have a free consultation with us.