Process
Diagnose.
Ship.
Train.
Keep going.
Four phases. Six weeks to the first system in production. Then monthly progress on retainer. No PDFs at the end. No mystery boxes. Your team owns it when we're done.
Phase 01 · Week 1
Diagnose
Nothing gets built until we understand how the business actually runs, not how the org chart says it does.
- →Stakeholder interviews across leadership, ops, sales, and delivery.
- →Shadowing sessions on live workflows with the people who run them.
- →Tool and data audit: where things live, how they connect, where they break.
- →Prioritized opportunity map, scored on hours reclaimed against effort to ship.
- →Executive review and formal scope signoff before a line of code is written.
Phase 02 · Week 2
Design
We lock the first system end-to-end on paper before we build. This is where bad assumptions get caught cheaply.
- →System design: inputs, model routing, human checkpoints, failure modes.
- →Data flow and governance review with your security or IT lead.
- →Eval plan: the tests each workflow has to pass before launch.
- →Change management plan: who owns it, who reviews outputs, who gets trained.
- →Written approval from the executive sponsor before build begins.
Phase 03 · Weeks 3 to 6
Ship
We build fast, in small increments, inside your environment. Your team sees the system working before it's done.
- →Build and integrate inside your cloud, under your API keys.
- →Internal alpha in week three. Team starts using it in week four.
- →Production rollout in week five or six, with human-in-the-loop by default.
- →Runbook and recorded training sessions for the team that will run it.
- →First monthly ROI report drafted: hours reclaimed, dollars saved.
Phase 04 · Ongoing retainer
Keep going
This is where most AI initiatives quietly die. On retainer, we keep shipping, keep tuning, keep reporting ROI in writing.
- →Monthly system upgrades: new models, better prompts, tighter evals.
- →New workflows shipped each quarter, prioritized with your leadership.
- →Governance reviews, access audits, and eval regressions monitored.
- →Team coaching so the internal owners get sharper every month.
- →Quarterly roadmap reviews tied to business outcomes.
Principles
How we behave on your account.
Straight diagnosis, first
If AI isn't the right answer, we say so. More than one engagement has ended at 'hire someone in ops instead.' That's the integrity.
Ship over talk
We'd rather show you something running at the end of week three than hand you a 40-page strategy doc.
Well governed, quietly
Access controls, audit logs, human checkpoints, data classification. The boring parts are built in from day one.
Smaller team, more seniority
Every account is staffed light and senior. No layer cake, no handoffs, no bench padding.
Model-agnostic, by reflex
We re-benchmark quarterly across Claude, GPT, Gemini, and open-source models. You get what's best for the job, not what we have a discount on.
Your business outlives the retainer
Everything we build is yours, documented, handoff-able. If you need us less next year, we'll tell you first.
Get started
Ready to run the diagnosis?
One 30-minute call gives us enough signal to scope the diagnosis phase. No obligations, no discovery fee.