Voice AI · Outbound sales
AI Lead Qualification & Cold Calling Voice Agent
Project overview
Outbound calling is the most expensive hour in a sales day and the one with the lowest hit rate. We built a voice agent that takes the list instead: it dials, opens the conversation, qualifies against the criteria the team already uses, handles the objections that actually come up, and books straight into the calendar when someone is interested. The call is logged to the CRM before the agent moves to the next number.
The build console configuring the assistant, then the operator side: the lead pipeline dashboard, call analysis and objections, booked appointments, hot leads, and the call transcript log, finishing with the qualified-lead notification email.
The challenge
A rep working a cold list spends most of the day on calls that will never qualify. The work is necessary and almost entirely mechanical until the moment someone says yes — and the moment after that, the part that decides whether the lead survives, depends on a tired person remembering to write it down.
- Work a large list without hiring proportionally more reps
- Apply the same qualification criteria on every call, not a version of them
- Handle objections in conversation rather than reading from a script
- Book the meeting during the call, not in a follow-up email thread
- Keep CRM records complete without relying on manual logging
Our solution
A voice agent that holds a real conversation rather than playing a recording. It listens, responds in under a second on the fast configurations, and follows the qualification logic the sales team defined — including what to do when the answer is no.
- Dials the list and opens the conversation unattended
- Qualifies against the client’s own criteria, applied identically every time
- Handles objections in real time, built from patterns in actual call transcripts
- Books into the calendar during the call while intent is live
- Writes the outcome and the full transcript back to the CRM
- Streams a live transcript so a human can supervise or take over
Technical implementation
Speech-to-text, reasoning and speech synthesis are three separate, swappable layers rather than one fixed vendor stack. That is what makes the trade-off tunable: the same assistant can be configured for the lowest possible latency, the strongest reasoning, or the lowest cost per minute, and the console reports the measured latency for each combination so the choice is made on numbers rather than intuition.
- Streaming speech-to-text for low-latency turn detection
- Swappable LLM reasoning layer across multiple providers
- Neural text-to-speech with selectable voices
- Named presets — balanced, high-intelligence, ultra-fast, cost-saver — each with its latency and per-minute cost surfaced
- Live transcript and post-call analysis
- CRM write-back and calendar booking via API
Technologies
- Voice AI
- Speech-to-Text
- LLM Orchestration
- Text-to-Speech
- Real-Time Streaming
- CRM Integration
- Calendar API
- Webhooks
Key results
- The whole list gets worked — the agent does not tire, skip, or quietly deprioritise the bottom of the sheet
- Qualification is consistent by construction: the same criteria are applied on call one and call four hundred
- Meetings arrive in the calendar already booked, rather than as a follow-up task someone still has to do
- Every call reaches the CRM with its transcript attached, so pipeline reporting is complete by default
- Latency and cost per minute are tunable per deployment by switching model tier, without rebuilding the agent
Why it matters
Most outbound teams are limited by how many conversations they can physically have, not by how good their pitch is. Moving the mechanical part of that to an agent does not replace the sales team — it changes what reps spend their day on, from dialling numbers to talking to people who already said they were interested.
Services behind this project
Voice AI Agents
Real-time speech agents for inbound and outbound calling
CRM, Sales & Marketing Automation
Pipeline sync, enrichment and hand-off logic
Agentic AI & Multi-Agent Systems
Tool use, decision logic and escalation paths