Services
Four practices. One team.
Strategy that ends in working software, and software built by people who understand why it exists. Pick one practice or combine them; the same people stay on the work either way.
01 · AI practices and workflows
Put AI where it changes the economics of the work.
Most of the value of AI in a company sits in a handful of workflows: the ones that are repetitive, text-heavy, and judgment-light. We find them, redesign them around a model with a person still in the loop, and build the guardrails so your team can trust the result.
We are deliberately model-agnostic. The choice of vendor comes after the choice of workflow, and after a frank conversation about your data and your risk tolerance.
What we do
- Workflow audits and opportunity mapping
- Agent and automation design, with human review built in
- Data handling, privacy, and acceptable-use policies
- Adoption plans and training for the people doing the work
Good fit when
You have a team spending hours a week on intake, triage, drafting, summarizing, or reconciling, and you want that time back without making a mess.
You keep
A ranked opportunity map, working workflows with documentation, the policies that govern them, and a team that knows how to run and extend them.
02 · AI for engineering teams
Faster engineers. Same bar.
Coding assistants and agents can make a team meaningfully faster or quietly make a codebase worse. The difference is conventions, review, and evaluation, not the tool. We help engineering leaders choose tooling, set the rules, and build the habits that keep quality high while velocity goes up.
We do this hands-on. Expect pairing sessions, pull requests, and a repository that is set up for agents on day one, not a slide deck about the future of software.
What we do
- Tool selection and rollout, with a budget that makes sense
- Team conventions: prompts, context files, review rules, and what agents may touch
- Repository setup so agents produce code your team would merge
- Evals and quality gates for AI-generated changes
- Pairing and training for engineers and leads
Good fit when
Your engineers are using AI tools unevenly, you are unsure whether it is helping, or you want a deliberate rollout rather than an accidental one.
You keep
A written playbook, a configured repository, measured before-and-after numbers, and engineers who can explain what they are doing and why.
03 · Custom software development
The glue between the systems you already pay for.
Internal tools, integrations, data pipelines, and the back-office systems that never quite fit an off-the-shelf product. We build them to be maintained by your team, with boring technology where boring is right and documentation that someone will actually read.
We also modernize what you already have: untangling a legacy system, adding an API, or moving a process out of a spreadsheet and into something with an audit trail.
What we do
- Internal tools and admin systems
- API and platform integrations
- Data pipelines and reporting
- Modernization of existing systems
Good fit when
A process runs on spreadsheets, email, and memory, and it is starting to cost you money or sleep.
You keep
Working software, the source code, documentation, and a handover your team can live with.
04 · App building
From first sketch to launch.
Web and mobile products built by senior people who have shipped before. We scope tightly, build the smallest thing that proves the idea, and grow from there, including the AI features your customers now expect.
You get a product, a roadmap for what comes next, and a codebase that another team could pick up if you ever needed them to.
What we do
- Prototypes and MVPs
- iOS, Android, and web applications
- AI-powered features inside your product
- Launch, iteration, and handover
Good fit when
You have a product to build and not enough hands to build it the right way, or a prototype that needs to become something real.
You keep
A launched product, the source code, a roadmap, and the option to keep us around or take it in-house.