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—Case study · Reach and convert

How a global devices brand automated B2B lead qualification with an AI voice agent

Leads waited 24 to 48 hours for a first call. Now an AI agent calls within minutes, qualifies in Hinglish and writes to the CRM.

10,000+

outbound dials a day on average

100%

of calls synced to the CRM automatically

+33%

pickup rate, month 1 to month 2

+98%

qualified lead volume, month 1 to month 2

A global devices brand's B2B division in India was generating thousands of inbound leads, but a manual qualification process meant leads waited 24 to 48 hours for a first call. EvolvWorks deployed Priya, a bilingual AI voice agent that calls prospects within minutes, qualifies them on BANT in live Hinglish, and pushes every result straight into the CRM. In month 2, the pickup rate rose by a third, from 21.8% to 29.0%, and qualified lead volume grew 98%.

Problems with the traditional process

The brand's digital campaigns were generating thousands of inbound leads. The qualification process behind them was manual, slow and leaking revenue at every step.

ProblemWhat it cost
Slow responseLeads waited 24 to 48 hours before first human contact. By then, buying intent had faded.
SDR bottleneckManual calling could not keep up with campaign volumes, and reps spent time on leads that were never going to buy.
No consistencyThere was no standard qualification framework. Every SDR applied different criteria.
Zero CRM automationQualified data was entered by hand, causing errors and delays in the handoff to sales.

Email and WhatsApp outreach was opened and read, but very few prospects replied. The brand needed a real conversation with every lead, quickly, at campaign scale.

The way we solve it

EvolvWorks deployed Priya, an AI-powered outbound SDR that speaks Hinglish, the mix of Hindi and English common in Indian business conversations. It is built on the Edesy platform using Google's Gemini Flash Live model.

How the AI voice agent qualifies a lead: lead enters, AI call within minutes, BANT in one call in live Hinglish, automatic CRM push with a scored lead and call summary.
  1. 01

    Outbound call within minutes

    Priya dials prospects from the brand's B2B database within minutes of lead entry, not hours.

  2. 02

    BANT qualification in a single call

    In a live Hinglish conversation, Priya captures budget, authority, need and timeline. Every connected call uses the same framework.

  3. 03

    Automatic CRM push

    Qualified leads reach the CRM with a scored record and a call summary. No manual entry, no human in the loop for qualification.

Traditional process vs AI voice agent
Traditional processWith the AI voice agent
Speed to first call24 to 48 hoursWithin minutes of lead entry
ScaleLimited by SDR headcount10,000+ dials a day on average
QualificationCriteria varied by SDROne BANT framework on every connected call
CRM dataEntered by hand100% synced automatically

Results from month 1

Month 1 (May 2026) set a working baseline: the agent was dialling at campaign scale, qualifying on BANT and syncing every call to the CRM, with a pickup rate of 21.8%. Month 2 (June 2026) built on it.

From month 1 to month 2: pickup rate rose from 21.8% to 29.0%, up 33%, and BANT-qualified leads rose from an index of 100 to 198, up 98%.
Month 1 (May 2026)Month 2 (June 2026)Combined
Share of total calls dialled34%66%100%
Share of total calls connected28%72%100%
Pickup rate21.8%29.0%About 26.6%
Share of total BANT-qualified leads34%66%100%

Shares are rounded to the nearest whole number.

Combined performance across May and June
MeasureResult (May and June 2026)
Outbound reach10,000+ dials a day on average
Average pickup rateAbout 26.6%
Lead conversionAbout 0.4% of connected calls became BANT-verified leads
Pickup rate, month 1 to month 2Up 33%
Qualified lead volume, month 1 to month 2Up 98%
CRM sync100% of calls synced automatically
CostAn estimated 85% lower than a traditional SDR model

01What it proves

What this case study proves.

01

Speed to lead is solvable.

An AI agent makes first contact within minutes, where the manual process took 24 to 48 hours.

02

It scales without adding headcount.

The campaign averaged more than 10,000 dials a day.

03

Consistency comes built in.

Every connected call follows the same BANT framework.

04

Results start in month 1.

Month 2 improved pickup by a third and nearly doubled qualified lead volume, on roughly double the dial volume.

02FAQ

Frequently asked questions

What is an AI voice SDR?

An AI voice SDR is an AI agent that makes sales development calls by phone. It speaks with prospects in natural language, asks qualifying questions and records the outcome, doing the first-contact work a human sales development representative would otherwise do. In this case, the agent qualified B2B leads on BANT and pushed each result straight into the CRM.

What is BANT lead qualification?

BANT is a sales qualification framework that checks four things: budget, authority, need and timeline. A lead that passes all four is ready for a sales conversation. The AI voice agent in this case captured all four criteria in a single call.

How quickly can an AI voice agent call a new lead?

Within minutes of the lead entering the system. In this case, the brand's previous manual process took 24 to 48 hours to make first contact.

Can AI voice agents speak Hinglish?

Yes. The agent in this case study ran live conversations in Hinglish, the mix of Hindi and English common in Indian business conversations, using Google's Gemini Flash Live model on the Edesy platform.

What results did the AI voice agent deliver in month 1?

From month 1, every connected call was qualified against the same BANT framework, and every call was synced to the CRM automatically. The month 1 pickup rate was 21.8%. In month 2, the pickup rate rose to 29.0% and qualified lead volume grew 98%.

Talk to us

Are your leads going cold before anyone calls them?

Talk to EvolvWorks about an AI voice agent pilot.

Schedule a discovery call

Prashant JainPrashant Jain, FounderYour first call is with the founder.