The brief: a lead engine that runs itself
A financial-services lead-generation operator already had a serious, production-grade platform, but every stage still needed a human. They wanted the pipeline to run largely on its own: find its own targets, qualify every lead, personalize outreach to each prospect, and follow up, so the team only ever spends time on people who are genuinely worth talking to. We built the autonomous AI layer that sits on top of their platform and does exactly that.
It finds and qualifies before a human sees anything
The engine discovers its own targets and screens them without supervision:
- AI keyword research tuned to the client's domain and ideal prospect, then automated discovery of the right sources and communities
- Every lead qualified at the moment it is collected, measured against the ideal-customer profile with a strict, explainable AI schema
- Dead, inactive, and irrelevant contacts filtered out before they ever reach the CRM, so only high-value leads pass through
Every message is written for the individual
For each lead the system reads the public signals available to it, bio, activity, and any linked site or profile, and generates a first-touch message tailored to that specific person, on the client's brand and trained on their own company data. A configurable multi-stage sequence follows up only when there is no reply and stops the instant a lead responds, handing a warm prospect straight to a human closer.
Then it picks up the phone
The newest layer adds voice. An autonomous AI voice agent places and answers live calls and holds a real, two-way spoken conversation: it listens as the person talks, decides what to say against the call script and the lead's context, and speaks back in natural audio, fast enough to feel human, handling interruptions and inbound callbacks. Every call is transcribed and tied back to the lead record, so the CRM stays the single source of truth.
Built on their own stack, and kept safe
All of it runs natively inside the client's existing platform on Google Gemini through Vertex AI, using strict structured output for reliable, machine-usable decisions and messages. Every automated action routes through the platform's own pacing and safety controls, and human agents always own the live conversation once a lead is warm. The outcome is a pipeline that discovers, qualifies, and warms leads at scale, with the team's time reserved for prospects who are ready to talk.