One client, three systems, in production.
A real-estate acquisition company runs its phones, its coaching and its deal desk on systems we designed, built and maintain. The company's name is withheld; the builds, the stack and the engineering decisions are described as they are.
Every seller call answered, logged and followed up. Nobody typing.
Inbound and outbound calling, missed-call recovery, AI call summaries and scripted text follow-up, all wired into the CRM for a six-agent acquisition team.
Read the case study →Every sales call scored against the script, with the evidence timestamped.
A three-pass AI pipeline reads every recorded call, grades it against the team's sales script, flags blunders with timestamps and puts it on a manager dashboard.
Read the case study →An AI deal advisor that reads everything about a deal and answers in Slack.
One mention in a deal channel pulls context from Slack, the CRM, Gmail, e-signed contracts and Drive, answers in the right role, and drafts the document for a human to send.
Read the case study →What the three have in common.
Built inside the client's own accounts, on the CRM and tools they already ran. Evaluated before launch and monitored after. A human stays in the loop wherever the action is outward-facing. The same senior engineers from the first call to production.
Your business could be the fourth.
Founding clients get the first working prototype free, on their own data, before any invoice exists. A 30-minute strategy call with a principal engineer is where it starts.
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