How we work
Three steps.
No surprises.
A free audit before any commitment, a fixed-scope supervised build, then we run and maintain it. Plain language at every step — and you own the result.
Discovery — the free audit
Every engagement starts with a free operations audit. You walk us through how the work actually happens; we map it, source by source, and identify where AI can remove, automate, or improve something with real ROI.
You get that map back in plain language — no pitch deck, no jargon. If there is no clear win, we tell you so. We would rather lose the project than sell you automation you do not need.
Output
A written map of what to automate, in what order, and the expected impact — yours to keep, with no obligation to proceed.
Build — fixed scope, supervised
Once we agree on the highest-leverage piece, we scope it as a fixed engagement with a clear definition of done — so you know what you are getting and what it costs before we start.
We build against the real failure first: reproduce it, then fix it. Every change passes human review before it goes live, and we verify the user-visible result actually happens. "It compiles" is not "it works." You see progress, not a black box.
Output
A working system, tested end to end, documented, and handed over. You own it outright.
Run — operate and maintain
AI workers are not fire-and-forget. We run and maintain what we build under supervision: actions are logged, edge cases are flagged to a human, and the worker is re-tuned as your process changes.
The self-improvement loop runs underneath: when the worker hits a new failure pattern, it drafts a fix and queues it for approval — so the system gets more capable over time rather than degrading as your operation evolves.
You keep full visibility and the ability to intervene at any point. The reliability layer underneath keeps memory and facts honest.
Output
A supervised, self-improving system that keeps doing its job — and gets better at it — as your operation evolves.
Human operator in the loop at every build step — not just at launch.
Pricing is flat and predictable at every stage. See how engagements and retainers are quoted on the pricing page.
Want to see this in practice? Browse the case studies.
On timelines
Scope-dependent, and we will give you a concrete answer during the audit. Builds move faster than a traditional dev shop would quote — because we work with AI in the loop and a tight, fixed scope. We commit to a real timeline and then meet it.
The audit is genuinely free
No scope creep into a paid discovery phase. The audit maps what to automate and hands it back. No obligation, no charge, no catch.
You own what we build
The working system, its documentation, its code. We are not interested in building a black box that only we can maintain. No lock-in, no walled garden.
Nothing runs unsupervised
An unsupervised agent acting on your operation is a liability, not a feature. Every action is logged; edge cases go to a person, not a guess.
Self-healing maintenance
The run phase includes a self-improvement loop. The system logs failures, drafts fixes, and queues them for human approval — so maintenance is active, not reactive.
Start
The first step
costs nothing.
Book the audit. We map what to automate and hand it back in plain language — no obligation, no pitch.