01
Operators first
We bias to the work that makes a P&L move, not the work that wins an architecture award. If the simplest answer is a SQL view and a Zapier flow, that's the answer.
/ Approach
How we work.
Practical AI, applied.
We work the way the most successful AI adoptions already do — with industry best-practice patterns, sequenced quick wins, and the right rigour for the work. The playbook is proven elsewhere, calibrated to your business, and on your bench by the time we leave.
/ The Engagement
Four phases. Quick wins first, then the rest.
01
Listen
We start by sitting next to your operators, not your executives. We watch the work happen, ask what's annoying, find the workflows that consume time disproportionate to their value. The brief gets written from the floor up, not the deck down.
02
Frame
We size the opportunity in the language your finance team uses. Each candidate intervention gets a sized model: payback period, sensitivity to assumptions, what has to be true. The frame is a conversation, not a slide — we expect it to change.
03
Build
We bring industry best-practice patterns — proven elsewhere — and apply them to your business at the velocity your team can absorb. Quick wins first, then the next layer builds on top. Each system ships with a measurable success criterion and a rollback path appropriate to the work.
04
Embed
By the end, your team owns the work — the playbook, the tools, the metrics, the muscle. We tune what needs tuning, train your bench to run it, and leave the operating playbook in your hands. The engagement is successful when the work keeps compounding after we leave.
/ Principles
Six commitments we make on every engagement.
02
Skills transfer is the deliverable
Every engagement ends with your team owning the work — the tools, the playbook, the metrics, the muscle, all on your bench. The point of bringing us in is to leave you self-sufficient. We measure success by how independent you are at handoff.
03
Patterns that ship
Industry best-practice AI patterns — proven elsewhere, calibrated to your business — applied at the velocity your team can absorb. Adoption gets P&L metrics. Agents get eval suites and observability. Customer-facing AI gets brand-voice guardrails. We do what works, not what's novel. The rigour matches the risk.
04
Automate or augment
Most agentic projects pick one level of autonomy for the whole workflow — fully automated, or fully human. Both are usually wrong. We map step by step: full automation where the risk is low and the pattern holds, human-in-the-loop where judgment matters, no AI at all where it's the wrong tool. The wrong call here is the most expensive mistake in production.
05
No theatre
We don't do AI strategy slides for the sake of slides. We don't run all-hands rollouts to celebrate prototypes. The work speaks. If it doesn't, we haven't done the work.
06
Discovery before delivery
Every engagement starts with a 2–3 week discovery pocket. We sit with your operators, map where the leverage actually is, and write the scope before either of us commits to it. No surprises after the kickoff — and if it's not a fit, we say so before you've spent the real money.
Want the long version?
We have a 32-page methodology document we'll send to anyone who emails. It's not a sales artifact — it's the actual playbook our engineers work from.