We come into companies with no AI team and no appetite for a science project, and we automate the work that is actually eating the payroll — support, phones, data entry, the developer process itself. Every action the AI takes lands in a review queue first. Autonomy is earned, one action type at a time, on measured accuracy.
Fixed-scope pilots · 30 days to first automation in production · C2C / 1099 / W2 · MSA, SOW, NDA, COI on file
A chatbot that answers questions and then says "please contact support" has moved zero work. The value is in the write — issuing the refund, changing the address, rescheduling the appointment, updating the ERP. Nobody will grant that access to a model they can't audit. So the pilot stalls at month three and gets quietly switched off.
If the AI can only draft, a human still does 100% of the clicking. You've added a step, not removed one. The ROI never appears and the budget gets pulled.
No operations director signs off on a model with unsupervised access to billing. Nor should they. "Trust me, it's 94% accurate" is not a control.
The AI proposes real, executable actions. A human approves or rejects in one click. Every decision is logged. Accuracy is measured per action type — and when it clears your bar, that action type graduates to automatic.
LLM agents that answer customer email and chat and perform the account changes behind them — refunds, address updates, plan changes, order edits — queued for human approval until they earn their way out of the queue.
A voice agent that picks up on the first ring at 7pm on a Saturday, qualifies the caller, books them into your real calendar, and drops a structured summary into your CRM.
The spreadsheet-and-copy-paste layer: invoice and document intake, onboarding packets, renewals, reconciliations, CRM hygiene. Built in n8n, Temporal or plain code — whichever your team can actually maintain after we leave.
For teams whose "AI strategy" is a Copilot licence. We rebuild the development loop: spec-to-PR agents, review bots that catch the bugs your reviewers miss, test backfill on legacy code, and comprehension tooling for the codebase nobody understands anymore.
The one thing we do differently. Autonomy is not a switch you flip on launch day — it is a level each individual action type climbs, on evidence, with your sign-off at every rung.
The AI processes live traffic and writes what it would have done to the ledger. It touches nothing. You compare its proposals against what your team actually did.
Gate to advance: 2 weeks of traffic, disagreements reviewed with the teamProposals appear in your agents' existing tools as pre-written replies and pre-filled forms. A human edits and sends. First real time saved.
Gate to advance: ≥80% of drafts sent with minor or no editThe AI composes complete actions — including writes to your systems — and holds them in the approval queue. A reviewer approves or rejects in one click, with the diff and the reasoning in front of them. This is where most work lives, and it is fine to stay here.
Gate to advance: per action type, ≥98% approval over ≥200 decisionsThat action type now executes immediately, but stays reversible and visible on a recall window — typically 15 minutes to 24 hours. Any human can pull it back with one click, and every pull-back is a training signal.
Gate to advance: <0.5% recall rate over a full monthFully automatic, sampled for quality, still fully logged. Reserved for high-volume, low-blast-radius actions. Most companies run a permanent mix of levels 2, 3 and 4 and that is exactly right.
Standing control: weekly sampled audit, instant fleet-wide kill switchComplete, documented systems — the architecture, the guardrails, the failure modes and the economics — for the four shapes of work we automate most often.
Email + chat resolution with ERP write access, behind a one-click approval queue and an immutable ledger. Six action types graduated to automatic in fourteen weeks.
An AI voice agent answering overflow and after-hours calls, booking directly into the dispatch calendar, with a warm human transfer on any hesitation.
Certificate and renewal intake: document extraction with confidence gates feeding an n8n workflow that writes to the agency management system.
Spec-to-PR drafting, a review agent tuned on the team's own escaped defects, and test backfill on a decade-old codebase nobody wanted to touch.
A working simulation of the exact interface a support team uses: incoming tickets, proposed replies, proposed system writes, one-click approve/reject, the trust ladder promoting action types as they earn it, and the audit ledger filling up underneath. Runs entirely in your browser.
LIVE DEMOWalk a caller through an after-hours service request the way the voice agent does it: qualification, address capture, real calendar slotting, escalation triggers, and the structured CRM record that lands the next morning.
Bring us the process that eats the most hours. We will tell you in one call whether it is a 30-day automation, a 90-day one, or a bad idea.