Most companies rent an AI app and get a template. We put the actual state-of-the-art model on your team's machines, shaped to each person's real job, with guardrails an auditor can read.
95% of enterprise AI pilots deliver no measurable return. MIT, The GenAI Divide: State of AI in Business, 2025. Are you one of them?
What we do
We build from evidence: your actual files, your actual correspondence, the way your team actually works. Not from an org chart or a vendor's template.
Each person gets assistants built for their specific job, not one generic helper stretched thin across the whole company.
It learns your vocabulary, your approval chains, and your exceptions, captured from real work.
What one person's agent learns, a colleague's can inherit in days. Institutional knowledge becomes the foundation for automation that survives employee churn.
The arc
Not a menu of services. One sequence, in order.
A workspace on their own machine, wired to the files and mail they already use.
We crawl their real sources, then confirm the list with them before a single file is ingested.
The agent builds a picture of the role from evidence: what they actually handle, for whom, and how often.
One place that shows what needs them today, and what is quietly slipping.
The repetitive parts become automations they approve, one at a time.
Every Friday it reviews its own week, gets sharper, and proposes the next thing to take off their plate.
Governance
The 60-second check
Plenty of companies are paying frontier prices and quietly receiving yesterday's intelligence. There is a fast way to tell which one you actually bought, and what it is costing you in work your people redo by hand.
Contact
The best first conversation is not a demo. It is fifteen minutes on the single most repetitive thing your team does. That is usually enough to tell whether this is worth your time.