We modernize established businesses using AI.

A precision parts manufacturer was burning roughly forty hours a week on manual order entry across four disconnected systems — email, ERP, quoting, and shipping. Three people spent two days each week re-keying line items, with the predictable downstream cost of typos, late shipments, and expedited freight.

We wrapped automation around their existing ERP rather than replacing it. Inbound supplier and customer emails are parsed automatically, line items extracted and validated against their part catalog, orders created in the ERP, and exceptions routed to a human queue with the ambiguous fields highlighted.

Order processing time dropped 73%. The forty hours of weekly manual work effectively disappeared, and two of the three people on order intake were redeployed onto customer-facing roles the owner had wanted to fund for years.

A mid-sized commercial law firm had three paralegals working full-time on document review and client intake. Volume was growing, the work was repetitive, and the partners didn't want to keep adding headcount to a function that wasn't scaling.

We deployed AI document review and an automated intake workflow alongside their existing case management system. No partner had to change how they worked — the new tools sat underneath the existing process and surfaced exceptions for human review.

Annualized savings landed at $220,000 in the first year, and the paralegals were redeployed onto higher-value matter work that had been backing up for months.

A regional distributor's CFO was spending two full weeks every month consolidating sales, inventory, and freight data across six systems into a single board-ready report. By the time the report was finished, half of it was already stale.

We built an automated reporting layer that pulls and reconciles the same data overnight, applies the same rules the CFO had been applying by hand in spreadsheets, and produces the report each morning. Edge cases are flagged and reviewed in minutes, not days.

Monthly reporting collapsed from twelve days to one. The CFO got two weeks of his month back, and the leadership team finally started looking at numbers that matched reality.

A wealth advisory firm had hit a wall. The core advisors were turning away qualified clients because the operations team couldn't keep up with onboarding, document collection, compliance checks, and quarterly reporting.

We automated the operational backbone: document intake and parsing, KYC checks, reporting generation, and routine client communications. The advisors kept their judgment-driven work; the repeatable work got pushed downstream to AI with human oversight.

The same team is now serving roughly three times the client volume with no new hires, and the advisors are finally taking on the relationships they'd been turning down.