private ai, installed and owned

the operational grunt work handled by agents that run on your hardware and stay yours when the engagement ends

Most businesses rent their AI. They pay per seat, per token, per month, to a vendor who owns the system and can change the price or pull the plug whenever it suits them.

Installed AI infrastructure a business owns outright. It runs on their hardware, connects to the tools they already use, and does the operational work that quietly eats a firm’s expensive hours.

what it does

It connects the inbox, the accounting system, the CRM, and the calendars into one system that responds, follows up, reconciles, and reports. The agents read documents and emails, including scanned and handwritten ones, and pull structured data out of PDFs, invoices, and statements. They classify and route by content and history, query databases in plain English, sync data across systems and flag the mismatches, and draft communications in the firm’s own tone.

the work it takes off people’s desks

Built for a century-old professional-services firm losing senior hours to operational drudgery. Four workflows carry most of the load.

A document processor that reads incoming claim and invoice files, extracts the fields, cross-checks totals against line items, and flags anything that does not reconcile, turning twenty minutes of manual keying into a two-minute review.

An intake dispatcher that validates new inquiries, chases the missing information, and routes each one to the right person by specialty and capacity, so high-value prospects stop cooling in a shared inbox.

A collections coordinator that buckets receivables by age, nets credit memos, drafts follow-ups on a reliable cadence, and keeps a rolling cash forecast current.

A reporting analyst that pulls from every system overnight, flags the metrics drifting from trend, and lands a clean leadership summary before the Monday meeting instead of after it.

the controls

A person signs off on anything sensitive before it sends. Every agent action lands in an ops ledger the team can read and audit, with timestamps, inputs, outputs, and the approval record attached. It is the same audit-trail discipline the firm already applies to its own client work, now pointed at its own operations.

what you own

It runs on the client’s hardware. No per-seat pricing, no per-token meter. No data sits on external servers and no model trains on their data. When the engagement ends, the system stays, fully theirs, documented, like the building they work in.

the point

The expensive people should be doing the expensive work. Every hour a senior expert spends keying a document or chasing an invoice is an hour of judgment the firm paid for and threw away. Hand that grind to agents that are owned, gated, and logged, and the experts go back to being experts. Any document-heavy, approval-heavy operation can grow its output this way without growing its headcount.

The architecture behind these builds: the agent control plane.