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SaaSAI

Every lead called in thirty seconds.

A multi-tenant SaaS that automates lead engagement with AI-powered voice agents — auto-dialling inbound prospects, qualifying through natural conversation, and routing high-intent leads to humans with full context.

<30sFirst call
100K+Calls run
+38%Conversion
ClientLeadTrack AI (USA)
IndustryAI · Sales tech
PlatformSaaS · Telephony
DisciplinesAI Agents · SaaS · DevOps
The brief

A lead’s interest has a half-life of minutes.

ClientLeadTrack AI · USA
Calls run100K+
First callUnder 30 seconds
SurfacesSaaS · Telephony

Inbound leads decay fast: the prospect who filled a form at lunch is cold by dinner. Human teams cannot answer every lead in seconds around the clock — so the fastest competitor wins deals it never deserved on merit.

LeadTrack’s answer is an AI voice agent that calls within thirty seconds, qualifies through natural conversation, and hands high-intent prospects to humans with the full transcript and context. We built it as multi-tenant SaaS — every customer running their own agents, scripts and pipelines on one platform, hardened across 100,000+ live calls.

At production volume the model holds: more than a hundred thousand calls completed, first contact in under thirty seconds, and a 38% lift in conversion — with humans stepping in exactly where the conversation earns it.

The challenge

Speed wins deals it didn’t deserve.

Inbound interest decays in minutes — and no human team answers every lead in thirty seconds, forever.

01 — The problem

Leads cooled faster than teams could dial.

Response time, not product quality, was deciding who won the deal.

  • Half-life of minutesthe lunchtime lead is cold by dinner.
  • Coverage gapsnights, weekends and campaign spikes went unanswered.
  • Inconsistent qualificationevery rep asked different questions, differently.
  • No context handoffhot leads reached sales as a bare phone number.
02 — The solution

An AI sales floor that never sleeps.

Voice agents call within thirty seconds, qualify in natural conversation, and hand humans the full context.

  • Sub-30-second first callevery lead, every hour, every day.
  • Natural conversationqualification through dialogue, hardened across 100K+ calls.
  • Context-rich handoffshumans join with the transcript and an intent score.
  • Multi-tenant SaaSeach customer runs their own agents, scripts and pipelines.
What we built

A sales floor that never sleeps.

Voice AI, telephony and multi-tenancy — engineered into one accountable system.

01

AI voice agents

Natural, interruptible conversation that qualifies leads without sounding like a survey robot.

02

Instant auto-dialling

New leads called within thirty seconds, around the clock — interest met while it is hot.

03

Qualification logic

Per-tenant scripts and intent scoring tuned to each customer’s pipeline definitions.

04

Human handoff

High-intent prospects routed to reps live, with transcript and context attached.

05

Multi-tenant platform

Isolated tenants, per-customer configuration and billing on one codebase.

06

Call analytics & evals

Outcome tracking and behavioural evaluation across every call — the agent keeps improving.

How we built it

Teaching software to hold a call.

Four phases, hardened against one hundred thousand live conversations.

1

Conceptualisation

Modelled qualification conversations and escalation rules with working sales teams.

2

Design

Tenant dashboards for scripts, pipelines, transcripts and outcomes.

3

Development

The voice-agent pipeline, telephony integration and the multi-tenant platform.

4

Deployment

Hardened across 100K+ live calls; conversion up 38%.

The hard parts

What kept us up at night.

The problems that decided whether the product worked at all.

01

Conversation, not a phone tree

Prospects hang up on robots. The agents handle interruptions, tangents and accents — qualification feels like talking, not pressing 2.

02

Latency on a phone line

Voice AI tolerates no awkward pause. The pipeline keeps response gaps inside natural conversational rhythm.

03

Tenancy without bleed

Customers’ scripts, numbers and call data are hard-isolated — while sharing one platform and one improvement loop.

Architecture

Tech stack.

Voice AI on a multi-tenant SaaS spine.

Node.jsNestJSMySQLRedisElasticSearchPythonAWS
The outcome

Numbers the owners watch.

Speed-to-lead stopped being a staffing problem and became an infrastructure property.

<30sSpeed to first call

Every lead engaged inside the window where interest is still warm.

100K+Calls completed

Production volume that hardened the agents against the real world.

+38%Conversion lift

More qualified conversations, sooner — and humans only on the calls that matter.

I’ve worked with three agencies before CODT. The difference: they pushed back on the spec when it didn’t make sense, and shipped what we actually needed.
Neel Bhattacharya
Neel Bhattacharya
Founder · LeadTrack AI
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