Systems running right now.

Client names are left out on purpose; these companies' customers are the point, not their logos. Numbers are from the live systems and rounded down.

1,000+

AI calls a day

A consumer-lending call center

Retelln8nTwilioGoHighLevelSupabase

The problem: Thousands of text replies and after-hours callers, a small team, and leads going cold overnight.
What was built: Inbound AI intake in English and Spanish that verifies identity, runs the application, pulls options and either transfers to a live agent or books a call-back at the caller's time. Outbound follow-up calls for every new lead within a minute.
What it does now: Over a thousand AI-handled calls a day at peak, after-hours bookings honored to the minute, and every removal request logged in two places.

20,000+

settlement offers worked

n8nRetellTwilioSendGridForth

The problem: Settlement offers that needed a yes from the client, chased by hand over calls and emails.
What was built: A 26-day text, email and call sequence per offer, call attempts placed by schedule with voicemail scripts, replies handled by an AI that only talks about settlements, and every touch written back to the CRM.
What it does now: Tens of thousands of offers worked without a dialer team, with the CRM as the single record of what was sent and when.

checks every 30 minutes

n8nPostgresRetellTwilioForth

The problem: Campaigns broke quietly: a tool died, a template went out with blank fields, a text campaign stopped — and nobody knew for hours.
What was built: A read-only monitor inside each company's own automation stack: calls, texts, emails, appointments, empty fields, compliance and platform health, with the CRM as the second source of truth.
What it does now: One email when something big breaks, one line a day when nothing does.