AI that removes work
We build the workflow around the model, not a demo on top of it. The hard part is rarely the prompt. It is what the system does when the answer is wrong, slow, or expensive, and how you find out.
What we automate
- inventory_sync
- Catalog, prices, and stock kept in step across every place you sell
- document_intake
- Contracts, invoices, and forms read, checked against your rules, and filed
- email_triage
- Incoming email sorted, routine replies drafted, the rest routed to a person
- data_entry
- Information moved between systems that do not talk to each other
- reporting
- The numbers you check every week, pulled and sent as one summary
- product_content
- Listings and product pages written in your format and checked before they go live
- research
- Lookups across the web, like supplier or list prices, each with its source
- ticket_triage
- Support tickets read, sorted by urgency, and handed to the right person
- 12:04:07 fetch 2 executed contracts from the shared drive 2 files
- 12:04:08 ocr 14 pages, two of them scans, into text ok
- 12:04:09 retrieve your standard terms, 6 clauses in scope 6 matched
- 12:04:11 model claude · 18.4k in / 900 out · 1.9s $0.07
- 12:04:13 verify every finding has to cite the page it came from 6 of 7
- 12:04:14 retry the uncited finding, re-asked with that page cited
- 12:04:15 diff liability cap and termination differ from standard 2 flagged
- 12:04:16 route 4 clauses accepted, 2 deviations to counsel held
9.4s end to end · $0.07 · 4 clauses accepted automatically · 2 waiting on counsel
-
A·01
Workflow automation
The sequence someone repeats every day becomes a job that runs on a schedule and reports when it could not finish.
-
A·02
Agents with guardrails
Limits before capability: what it may touch, what it has to confirm with a person, and what it never does alone.
-
A·03
Answers from your own data
Every answer carries the source it came from, so a person checks the claim in one click instead of deciding whether to trust it.
See private document AI for your office -
A·04
Measured before it ships
Scored against real examples before it touches production. Working on five inputs is a demo. Five hundred is a feature.
Cost and latency are design constraints, not surprises. Cheap work goes to a small model, repeated work gets cached, and spend is capped per user, so the bill stays flat while usage grows.
A retailer's whole catalog, run from one email
A fragrance retailer's team spent more than ten hours a week managing their online store by hand. Now they email their inventory sheet, and the workflow adds new arrivals, pulls what sold out, and keeps every price and stock count right.
- hours_back
- 10+ hours a week of active store management, handed to the workflow
- catalog
- 49 products live to 179 in a single day
- first_sync
- 132 price and stock changes written, 0 errors, every one read back
- inbox
- One email from the team. The workflow runs the store from there