AI practices · Software consulting · Custom development

AI that actually ships.

We help companies turn AI from a slide deck into working practice: the workflows your team runs every day, and the software that runs them. Strategy, enablement, and code, from the same people.

For operators

Owners and executives who want AI working in the business, not just discussed in the boardroom.

For engineering leaders

CTOs and VPs who need their teams using AI tooling well, without lowering the quality bar.

For product teams

Teams with a product to build and not enough hands to build it the right way.

What we do

Four practices. One team that can do all of them.

Most firms either advise or build. We do both, because advice that nobody can implement is just a document.

AI practices and workflows

We find the work in your company that AI should be doing, then build the workflows, guardrails, and habits that make it stick after we leave.

  • Workflow audits and opportunity mapping
  • Agent and automation design
  • Data, privacy, and review policies
The AI practice

AI for engineering teams

Coding agents, review pipelines, evals, and conventions. We help your engineers adopt AI tooling that speeds them up without eroding the codebase.

  • Tooling selection and rollout
  • Team conventions, prompts, and repo setup
  • Hands-on pairing and training
AI in the engineering team

Custom software development

Internal tools, integrations, data pipelines, and the glue between systems you already pay for. Built to be maintained, not just demoed.

  • Internal tools and back-office systems
  • API and platform integrations
  • Modernizing what you already have
Custom software

App building

Web and mobile products from the first sketch to launch, built by people who have shipped before and know where the bodies are buried.

  • MVPs and product prototypes
  • iOS, Android, and web apps
  • AI features inside your product
App building

Our view

Most companies do not have an AI problem. They have a workflow problem that AI happens to be very good at.

The gains come from looking closely at how work actually moves through a company, picking the few places where a model changes the economics, and building something your team will still be using a year from now. That is slower than a demo and far more valuable.

How we work

Assess. Pilot. Scale.

Small, measured steps beat a twelve-month transformation program every time. Each phase ends with something you can keep.

Phase 01

Assess

We sit with your team, map the real workflows, and rank where AI or better software pays off fastest. You get a written plan whether or not you hire us for the next step.

Phase 02

Pilot

One or two workflows, built and run with the people who own them. Baselines measured first, so the results mean something.

Phase 03

Scale

What worked gets hardened, documented, and handed to your team. What did not gets dropped without ceremony.

Engagements

Three ways to start.

Every engagement is scoped so you can stop at the end of it and still be better off.

AI Readiness Audit

Fixed scope · Written plan

A fixed-scope look at your operations and engineering practice, ending in a ranked plan of where AI pays off and what it will take.

Start with an audit

Embedded Partner

Ongoing · Monthly

A standing seat on your team for strategy, engineering, and AI enablement. For companies that want a partner, not a project.

Talk about a retainer

Principles

How we keep ourselves honest.

Contact

Tell us what you are trying to improve.

A short working session, no pitch deck. We will tell you plainly whether we can help and what we would do first.