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Consulting

From AI strategy to production — built by the team behind Kommit.

Most AI work dies between the demo and production: no evals, no audit trail, nothing legal will sign off on. We're a small, senior team that builds the real thing — AI applications, integrations, and the strategy underneath — governed from the first commit.

Why it stalls

A demo takes a weekend. Production takes a plan.

The model was never the hard part. Getting AI live means data you can trust, integrations that don't break, evals that catch regressions, and an audit trail before anyone in legal asks. That's where projects stall — and it's most of the work.

  1. It works in a notebook, not in your stackThe integration surface — CRM, ERP, data warehouse, legacy auth — is where the weeks quietly disappear.
  2. No one can tell if it's getting worseWithout evals, every change to the prompt or the model is a guess you ship to production.
  3. Legal hasn't seen itNo policy, no human-in-the-loop, no audit trail means no go-live — however good the demo looked.
  4. It's one person's side projectNothing your team can own, extend, or be on call for after the launch screenshot.
What we do

Four ways in. One standard of done.

Start anywhere — a strategy you can take to the board, a build you need shipped, an integration that scares you, or the governance to make any of it auditable. Most engagements touch more than one.

STRATEGY

AI strategy & roadmap

Where AI actually pays off, what to build versus buy, and the governance you'll need before you ship. You leave with a plan your team and your board both understand.

BUILD

AI applications

Agents, copilots, RAG, internal tools — taken from prototype to production. Evaluated, audited, and handed over as code you own.

INTEGRATE

AI integrations

Models wired into the systems you already run, with policy, fallback, and traces from the first call — not bolted on after launch.

GOVERN

Governance & audit

Policy, evals, and an audit trail enterprise buyers will accept. The controls that turn a working demo into something you can put in front of a regulator.

The difference

Everyone can build a demo. We build what survives an audit.

We don't bolt governance on at the end. Every engagement ships with the controls enterprise buyers ask for — because we built the platform that enforces them.

Policy enforcementEval gatesFull audit trailLLM routing & fallbackHuman-in-the-loopOpenTelemetry tracesPII controlsSSO / RBAC

Run it on Kommit, or take the patterns and run them yourself — either way, you own the code. See the platform →

How we work

A discovery sprint, then a straight line to production.

  1. Discovery sprint — 1 to 2 weeksWe map the use case, the data, the integration surface, and the risk. You get a written plan and an honest go/no-go — whether or not we end up building it.
  2. Strategy & scopeBuild-vs-buy, architecture, eval criteria, and the governance model. Fixed scope, fixed outcome — no open-ended retainer creep.
  3. Build & integrateA senior pod ships in your stack, in the open, with evals and audit wired in as we go — not promised for a phase two that never comes.
  4. Run & hand offA live system, an eval suite, an audit trail, and your team trained to own it. We leave; it keeps working.
Engagement

Pick the shape that fits the problem.

Fixed scopes, senior people, no body-shop. We price to the work, not the hour — the discovery sprint pins down the number before anyone commits.

SPRINT

Discovery sprint

1–2 weeks · fixed fee

A scoped plan, a reference architecture, and a clear-eyed go/no-go. The fastest way to find out whether this is real.

POD

Embedded build pod

6–10 weeks · per project

A senior team that ships your AI application or integration to production, then hands it to your team.

ADVISORY

Strategy & advisory

Monthly retainer

Ongoing access to the team for AI strategy, architecture reviews, and governance — board-ready when you need it.

Engagements start at $25k. Below that we're not the right team — we'll say so on the call, and point you somewhere better.

Outcomes

What's on the table when we're done.

SYSTEM

A system you own

Production code in your repos, under your license. No black box, no lock-in.

EVALS

An eval suite

A test harness that catches regressions before your users do.

AUDIT

An audit trail

Policy model and a tamper-evident log your compliance team can actually read.

ROADMAP

A plan to keep going

What to build next, what it costs, and who owns it — in language your board accepts.

Questions

What procurement will ask.

  1. Do we have to use Kommit?No. We build in your stack and you own the code. Our platform makes governance easier, not mandatory — you can run the patterns yourself.
  2. Who owns the IP?You do. Everything we design and build is yours, full stop.
  3. How fast can we start seeing something?Discovery runs in 1–2 weeks; most builds reach production in 6–10 weeks, depending on the integration surface.
  4. How do you handle our data?Under your terms. Bring your own NDA and we'll sign within 24 hours; we work in your environment wherever the data needs to stay.
  5. How senior is the team?Senior-only. The people who scope the work are the people who build it — no hand-off to a junior bench.
Start here

Tell us what you're trying to build.

30 minutes with the team that would actually do the work. Bring the messy version — the half-built prototype, the integration that scares you, the board slide you can't back up yet. We'll tell you straight whether we can help.