Reading documents, matching records, drafting the routine reply, routing the request: that's most of the busywork in an operation, and it's what AI is actually good at today. We put it in, monitored, with a human on the exceptions.

Invoices, POs, and forms keyed in line by line. Extraction handles the routine; people handle the odd ones.
Which payment goes with which invoice, which ticket with which client. A rules engine plus AI does the first pass.
Status updates and routine responses drafted for review, not sent blind.
Custom GPTs, custom assistants, and the automations that run around them, written against how your business actually works. Model-agnostic by design: the model is a component, not the architecture.
Week one is always in the building. Specs come from watching the work happen, not from calls about it. From week two we're in your Slack, your standups, and your codebase, and back on site whenever the work needs it.
The Workflow Sprint ends with one automation running on your real data, not a report. A Build Sprint is clickable by week two and live by week six.
No account managers, no junior handoffs, nobody swapped in. Senior only, small on purpose.
Code, docs, credentials, infrastructure. No hostage software: if we vanish, everything keeps running.

Documents drafted, classified, and filed by agents built for one process.
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Calls and tickets classified, enriched, routed, and deduplicated automatically.
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Every open supplement, quote, and renewal chased on schedule until it's a yes or a no.
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Recurring reports and QBR decks assembled from live data, human-reviewed before send.
See howWe build custom GPTs, custom assistants, and the automations that run around them, trained on how your business actually works.
Skills and scheduled jobs do the work against your own systems, on a clock. Nobody has to remember to open anything.
We are model-agnostic by design. The model is a component, not the architecture. When a better one ships we swap it, and what we built for you keeps running.