Businesses across BFSI, EdTech, Real Estate and Healthcare have transformed their outreach with TaskVox AI. All data in percentages — no company names disclosed.
* All results are based on actual deployments. Company names are kept confidential per NDA.
Real figures from TaskVox call logs (snapshot 8 October 2026). We never name our clients — only their industry.
The institute moved its admission-enquiry calling to AI agents. Over six weeks the agents called more than 26,000 students and parents and handed the counselling team over 2,600 Hot and Warm leads, each with a recording and summary.
The developer used one AI agent to work through its backlog of property leads — over 6,300 people called in about six weeks, without adding callers.
The hospital ran a screening campaign for its health-card programme. In two days the agent reached over 2,200 people; almost every answered call became a full conversation, averaging nearly two minutes.
The company used an AI agent for customer calls around deliveries, with every outcome recorded for the operations team.
TaskVox set up an inbound AI agent to answer the brand’s customer calls. (Volume figures are not published for this deployment.)
Across these deployments: 93,727 AI calls · 35,048 people reached · 25,840 answered conversations.
A mid-sized financial services company operating in the personal loan and insurance space was spending heavily on a large in-house telecalling team. Despite the headcount, only 20–25% of their portal leads were being contacted within the first 48 hours — a critical window for conversion in BFSI.
The team faced persistent challenges: high attrition (averaging 45% annually), inconsistent script adherence, and inability to scale quickly during peak demand periods. Each lead cost ₹80–120 to contact and qualify with a human agent.
Within 2 weeks, 100% of new leads were being contacted within 2 hours of upload. Human agents were retasked exclusively to hot leads delivered by the AI — their close rate jumped from 8% to 31% because they were only talking to pre-qualified, high-intent prospects.
"The AI is better than our best callers in one key way — it never gets tired, never deviates from the script, and logs every single answer accurately."
A fast-growing EdTech platform offering professional certification courses had a problem that's common in the space: thousands of free trial signups per month, but a sales team that could only call 600–800 per day. Leads older than 5 days converted at less than 1%.
Their human agents were burning out making 80+ calls daily, most of which went to uninterested users. The demo booking rate was 6% and no-show rate on booked demos was over 50%.
The AI called 100% of trial signups within 24 hours. Qualified leads (those who expressed interest and fit the profile) were routed directly to senior sales executives with a full call summary. Demo booking rate for AI-qualified leads was 24% — 4x the previous rate. No-show rate dropped from 52% to 25%.
"My sales team now starts every day with a list of people who said 'yes, I want to know more.' The quality difference is night and day."
A real estate developer with multiple residential projects in Tier-1 cities received 8,000–12,000 leads monthly from portals like MagicBricks, 99acres and Housing. Their 15-person sales team could realistically make 200–250 calls per day — meaning 95%+ of leads went uncontacted for days.
By the time an agent called a 5-day-old real estate lead, the prospect had already visited 3 competitor sites. Speed-to-contact was everything, and they were losing it to headcount constraints.
100% of leads were called within 4 hours of upload. The AI booked 68% more site visits than the human team was managing previously. Human agents now only handled people who had already agreed to a visit or were asking detailed technical questions — their time on meaningful conversations went from 20% to 80% of their workday.
"We were drowning in leads but couldn't call all of them. Now every single lead gets called within hours. Our site visit numbers have never been better."
A multi-specialty clinic chain with 8 centers across two cities had a persistent problem with appointment no-shows. Their no-show rate was 34% — meaning 1 in 3 appointment slots were wasted, costing significant revenue and disrupting doctor schedules.
Front desk staff were spending 3–4 hours daily making confirmation calls, reminder calls, and rescheduling calls. This time was being taken away from actual patient service at the reception desk.
No-show rate dropped from 34% to 14% within the first 6 weeks — a 58% reduction. Front desk staff reclaimed 80% of their phone time, which they redirected to in-person patient experience. The lapsed patient re-engagement campaign brought back 22% of patients who hadn't visited in over 6 months.
"Our front desk team used to spend half their day on the phone. Now they're actually there for patients walking through the door. The difference in experience is visible."
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