Real numbers. Real deployments.

The situation

A legal firm had a document intake problem. Every new case started the same way: someone read the complaint manually, transcribed key dates, classified the case type, drafted a summary for the attorneys. Three people. One week per batch.

What we built

We deployed a specialised AI agent to manage intake. The agent reads filings, classifies case type, extracts critical dates, and produces an executive summary — without human involvement at any step.

The situation

A marketing agency was running paid social campaigns. Every new lead required someone to manually pull the profile, score purchase potential, add them to the CRM, create a cloud folder, and write a draft proposal. Two hours a day. Every day. Across a traffic manager and an assistant.

What we built

We automated the entire flow. Lead arrives → AI extracts social profile → classifies purchase potential → saves to CRM → creates a personalised folder with a generated draft proposal. Simultaneously, a database reactivation sequence re-engaged cold leads from previous campaigns.

The situation

A services company found out about operational errors the same way every time: a client called to complain. By then the damage was done — the relationship was already cracked.

What we built

We built a monitoring agent that watches every transaction and operational event. If a delivery runs more than 15 minutes past average, or if a VIP client's conversation starts showing negative sentiment, the agent fires a critical alert to the support team.