Custom AI agents that run entire workflows on the systems you already use.
We map how work moves through your business, build agents into the systems you already run, and manage them until they carry the whole workflow.
Step 01 · DISCOVERY
We audit how your business works: the systems involved, where the handoffs are, and which workflows are worth automating. You get a ranked list of opportunities with the expected return for each.
The audit report is yours to keep.
Ranked by ROI × complexity
Step 02 · DEVELOPMENT
We build the agent system end to end: the agent, the integrations with your existing tools, the approval checkpoints, and the monitoring. You review a working version every week.
QuickBooksPULLS OPEN INVOICES
GmailSENDS FROM YOUR DOMAIN
SlackPOSTS THE SUMMARYIt runs on what you already use
Step 03 · ROLLOUT
The agent goes into production in stages. It starts by drafting work for your team to review; once its output is consistently correct, it runs on its own, with approvals kept where you want them.
Watches and drafts, your team still sends everything
Acts on every run, a human approves before it lands
Runs routine cases solo, inside guardrails you set
EVERY ENGAGEMENT STARTS AT 01
Finance closes the books days earlier. Support answers tickets around the clock. Sales follows up on every lead in minutes. All with the same headcount.
HAND-COORDINATION, PER TEAM
Coordination stops consuming your team
Approvals, chasing, reconciliation, status updates. The connective work between systems moves to agents, and your people go back to judgment calls.
PER HANDOFF, EVERY HANDOFF
Work stops waiting on handoffs
A process that queued overnight for a human now clears in minutes. Agents run around the clock, so nothing sits in an inbox until morning.
THE ORG CHART DOESN’T MOVE
Output grows without headcount
Volume doubles and the org chart doesn’t. The same team directs three times the throughput instead of pushing it by hand.
Three systems running today: what the agent handles, and what changed for the team that used to do it.
Orders arrived by email as PDFs, spreadsheets, and plain text, and someone retyped every one into the system by hand. An agent now reads each order, prices it against the catalog, and hands the team a draft to approve.
Thought for 4s · read the email, checked the catalog
ORDER DRAFT · READY FOR REVIEW
14 lines matched and priced. One needs a look. That part number isn’t in the catalog. Approve it and the order goes straight into your system.
~5 min
from emailed order to a draft ready for review
5 weeks
from kickoff to running in production
Quarterly statements arrived as PDFs in dozens of different layouts, and every figure was read and keyed in by hand. An agent now reads each one, checks the numbers against the record, and stages them for approval.
Thought for 5s · read the PDFs, checked the record
READY TO APPROVE · 5 OF 6
Five statements match the record and are staged to post. One is held for a look. The value moved more than expected. Nothing is written until you approve it.
30 sec
to turn a statement into numbers on the record
4 weeks
from kickoff to running in production
The front desk took over 200 calls a day, and patients waited on hold to book. A voice agent now answers every call, books and reschedules in the practice’s own system, and refills cancellations from the waitlist.
Thought for 2s · used the schedule, the waitlist
CALL SUMMARY · 2:14P
Moved Dana R. from Thursday afternoon to Monday morning and texted her a confirmation. The Thursday slot went to a patient who had been waiting two weeks.
200+ calls
answered a day, with nobody left on hold
5 locations
on the same front-desk team, up from 2
Client name anonymized
“Most operational work doesn’t need more people. It needs a system that runs it end to end.”
A 30-minute intro call: who we are, how agent deployments work, and whether your operation is a fit. Come with nothing prepared.
The questions we get asked before the first call.
A working session, not a pitch. We walk through how work moves through your business today and where an agent could realistically take over. You leave with candidate workflows from your own operation, whether or not you build with us.
It’s built for that. Every agent scores its own confidence, and anything below the threshold you set stops and waits for a person rather than guessing. A correction updates the underlying rule, not just that one case, so the same exception clears on its own the next time it appears.
You decide where the human approvals sit, workflow by workflow, and they stay where you put them. Agents draft; a person signs off on anything that reaches a customer, moves money, or writes to your system of record. Every run is logged with what the agent checked and which rule it applied, so any decision can be replayed.
Three to five weeks from audit to production for most workflows. Rollout is staged: the agent drafts for your team first, then acts with a human approving each run, then handles routine cases on its own once its output has been consistently right.
No. Agents run inside the CRM, ERP, helpdesk, phone line, and accounting tools you already use. Everything stays where it is, and your team keeps working in the software they already know.
A few hours during the audit, and a weekly review while we build. Your team reviews what the agent produces. They don’t operate it, and nobody has to learn new software to work with it.
It’s about the hires you don’t have to make next. At your size, more volume usually means another coordinator, another CSR, another order-entry seat, each one months to ramp and expensive to replace. Agents absorb that volume so the next stage of growth doesn’t arrive as a hiring plan.
You do. The agents, the workflows, and the rules behind them are yours, they run in your environment, and your data stays there. There’s no platform you have to keep subscribing to for the work to keep running.
Every engagement starts with a paid audit that produces a ranked map of your workflows and what each one is worth, yours to keep either way. The build is scoped and fixed-price from that map, and running the agents afterward is a monthly arrangement. Priced on scope and outcomes, never by the hour.
Companies doing roughly $10–100M a year, where growth has started to mean hiring. Real volume moving through email, phones, and a system of record, with no in-house AI team to build this themselves.
