Brief
An AI-driven conversational platform that qualifies inbound leads, routes them through context-aware workflows, and hands sales teams enriched, ready-to-call prospects.
3.2×
Qualified Leads
−54%
Time to Reply
92%
Routing Accuracy
Problem
Inbound leads arrived across web chat, WhatsApp and email with no shared context, and were routed by whoever happened to see them first. Good leads went cold waiting; poor ones consumed the same sales time as strong ones.
Solution
- A lead scoring model trained on two years of the client’s own historical CRM outcomes, not a generic template.
- Context-aware chat across web, WhatsApp and email, so a conversation keeps its history when the channel changes.
- A drag-and-drop workflow builder, so operators change routing rules without an engineering ticket.
- Native integrations with HubSpot, Salesforce and Slack, so the enriched lead lands where the team already works.
Result
Qualified leads increased 3.2×, time to first reply dropped 54%, and routing accuracy reached 92%, meaning sales time moved to conversations that were already worth having.
Under the hood
| AI / scoring | OpenAI, lead scoring trained on 2 years of CRM history |
|---|---|
| Realtime | WebSockets |
| Backend | FastAPI, PostgreSQL |
| Frontend | React, drag-and-drop workflow builder |
| Integrations | HubSpot, Salesforce, Slack |
