The work that actually runs America.

Different industries. Same playbook. Embed, ship, win.

From billions of unusable rows to the foundation of every leadership decision.

The starting point.

A telehealth operator sitting on billions of rows across a dozen systems. Multiple service shops had taken a swing and missed. Leadership couldn't answer basic questions about the state of the business.

What we did.

We embedded with the team for a year. Centralized the data into BigQuery. Curated and modeled it into clean, decision-ready datasets: LTV and pLTV, marketing attribution, client cohorting, and an A/B testing foundation. We didn't hand off a warehouse and walk; we built the muscle around it.

The shift.

What used to be noise became the substrate for agentic analysis and the foundation for every call leadership made. Marketing dollars got smarter. Cohorts got clearer. The business finally knew itself.

From hours of AP/AR busywork per cycle to under 15 minutes.

The starting point.

Every cycle, the same drag: manual invoice sends, AP reminders, collections follow-up, payment reconciliation across multiple systems. Hours of human time spent on work the software should have been doing.

What we did.

We automated the day-to-day. AI workflows handle invoicing, reminders, collections, and payment-signal tracking. Approval gates and human-in-the-loop escalation sit exactly where they need to: on the decisions that actually need a human.

The shift.

Cycles dropped from hours to under 15 minutes. The team stopped processing receivables and got their week back.

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You have the operation. We bring the engineering.