Case studies
Real systems. Real numbers.
A short list, on purpose. We work in private with a small number of operators. Here's what we've shipped.
In the room
We work close to the operators we build for. Same problems. Same room. Real systems.
Full visibility over a fleet of always-on AI agents. A new agent is onboarded in one line of config.
We run AI agents 24/7 with no human watching. So we built a live dashboard — independent of the agents, deterministic, read-only — that shows every agent's health, history, and anything needing a human. Adding a new agent takes one line of config.
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4,000+ screen locations on one secure, interactive map. The spreadsheets are retired.
McCord's business development managers ran the screen network off a pile of spreadsheets — hard to keep current, impossible to control. We put every screen location on one interactive, access-controlled map. One source of truth. Locked down.
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98% time saved. 5 hours a month down to 5 minutes. Errors gone.
Commissions were a monthly headache — one person, hours of spreadsheets, errors caught only after the fact. We pulled it from the CRM, automated the maths, and put live commissions on every rep's dashboard.
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94% time saved. 140 hours per month down to 5. At the same cost.
Manual lead search, dirty CRM, emails to spam. We rebuilt the engine end-to-end on Apollo + HubSpot. Now one rep enters an industry and the system runs itself.
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20 hours of manual reporting down to 1 hour. Built in 14 days.
We trained AI on DBRE's existing appraisal reports. Now staff fill out a short form and the report writes itself. Quality stayed. Wait time collapsed.
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Next step
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