A leading general and life insurance group with over 4.2 million active policies faced persistent challenges in policy renewal outreach - low connect rates, spiralling agent costs, and an inability to scale outbound campaigns during high-renewal seasons. ByteVox Reach was deployed as the primary outreach engine across three renewal product lines, delivering measurable outcomes within the first month.
| Client Profile | Tier-1 Insurance Group (name withheld) |
| Headquarters | Mumbai, India |
| Policy Book Size | 4.2M active policyholders |
| Product Lines | Motor, Term Life, Health Indemnity |
| Deployment Period | August 1 – October 31, 2025 |
| ByteVox Product | ByteVox Reach (Outbound Automation) |
| Languages Deployed | Hindi, English, Tamil, Marathi |
| Integration | Salesforce CRM + Dialer + WhatsApp |
ByteVox Reach replaced a 45-agent manual dialing team for first-touch renewal outreach. The AI voice agents handled initial policy reminder calls, intent qualification, and hot-lead handoffs to human renewals advisors - freeing agents to focus exclusively on high-intent customers ready to pay.
Within 30 days, the client had achieved coverage parity with their previous manual operation. By day 60, ByteVox was operating at 4× the volume with a 1/5th the cost. The program was extended indefinitely following its initial 90-day trial.
Insurance renewal operations face a distinct operational paradox: the volume of policies due for renewal spikes sharply in Q2 and Q4, but hiring and training agents for seasonal peaks is economically unsustainable. This client's renewal desk was struggling on four fronts.
Manual agents were achieving a connect rate of only 14–18% on first-touch renewal calls, with a significant drop-off in repeat attempts due to agent fatigue and inconsistent follow-up cadence.
Average time from policy-due-date trigger to first outbound call was 48–72 hours, resulting in a substantial portion of renewals lapsing before any contact was made. Industry benchmark: under 4 hours.
The client was running a 45-agent renewal calling team at ₹38L/month in fully-loaded costs. Peak season required 30% over-staffing, pushing total cost of Tier-1 outreach above ₹50L/month.
The agent pool covered only Hindi and English, leaving Tamil and Marathi-speaking policyholders with significantly lower renewal rates - a gap of 23 percentage points vs. Hindi-served customers.
Call dispositions were being manually logged with inconsistency - only 61% of calls had complete outcome data in Salesforce, making pipeline reporting unreliable and campaign optimization impossible.
During March and September renewal peaks, the team faced 2.4× normal volume with no scalable path. Temporary agent hiring took 4–6 weeks to onboard, well past the peak window.
ByteVox Reach was configured as a full first-touch outreach layer - from CRM-triggered dialing through to qualified handoff - so human advisors only engaged with warm, intent-confirmed leads.
Salesforce renewal-due events auto-push to Reach campaign queue via webhook
Multilingual agent calls within <4 mins, introduces renewal, captures intent signals
Hot leads transferred live; warm leads scheduled for callback; cold leads entered nurture flow
Unanswered calls get auto-SMS + WhatsApp with payment link, retry after 4 hrs
100% auto-logged: disposition, transcript, sentiment, next action in Salesforce
Reach used state-matched local numbers for each outbound call, improving answer rates by showing a recognisable area code rather than a toll-free IVR number. Calling windows were configured per state timezone and DND regulations.
Natural-sounding AI voice agents in Hindi, English, Tamil, and Marathi - each with region-appropriate greetings, policy terminology, and tone. No IVR menus; the agent held a genuine two-way conversation.
Unanswered calls triggered a 5-attempt cadence over 7 days: voice → SMS → WhatsApp → voice → agent escalation. Each touchpoint was time-aware to avoid repeat contact in same 3-hour window.
High-intent policyholders were warm-transferred to available agents within 10 seconds. Transfer packet included policyholder name, policy number, last renewal date, and AI-captured intent summary.
Automatic TRAI DNC scrubbing before every campaign run, with state-specific calling hour controls, consent capture on every call, and a full audit log retained for regulatory review.
Operations managers had live visibility into dialer throughput, connect rates, sentiment distribution, conversion funnel, and agent queue status - updated every 60 seconds.
ByteVox followed a structured phased deployment to ensure zero disruption to live renewal operations during the transition period.
Salesforce webhook configuration and CRM field mapping were completed in Week 1. Voice agent scripts were co-developed with the client's renewal product team across all four languages - covering standard renewal, lapse-prevention, and win-back call types. Phonetic testing, tone calibration, and compliance review completed by end of Week 3. Parallel run with existing agent team on a 10% policy sample.
ByteVox Reach took over first-touch for Motor and Health renewal lines - the two highest-volume products. Human agent team was repositioned to handle warm transfers and complex policy queries only. Campaign A/B tests ran on call window timing, script variants, and retry cadences. Metrics reviewed weekly; script optimisation cycles deployed biweekly. Connect rate improved from 14% to 36% by end of Phase 2.
Term Life renewal line onboarded with a more nuanced script to handle beneficiary and sum-assured queries before agent handoff. Reach now handling 100% first-touch across all three lines at 4× prior call volume. WhatsApp follow-up integrated with payment links showing 18% direct digital renewal rate. Client's renewal operations team formally reduced from 45 agents to 12 specialist advisors. Program extended permanently.
Performance was tracked across four categories: outreach efficiency, conversion quality, cost economics, and data completeness. Results reported at end of 90-day deployment period vs. 90-day pre-deployment baseline.
The financial case for ByteVox Reach was validated across both cost reduction and revenue uplift vectors. Over the 90-day engagement, the client recognised a combined economic benefit of ₹2.84 Cr on a SaaS / Subscription Based platform investment.
Beyond the metrics, four strategic lessons from this engagement are broadly applicable to insurance organisations considering AI voice automation for renewal operations.
The single biggest driver of renewal improvement was reducing time-to-call from 48 hours to 4 minutes. Policyholders who were contacted within the first hour of renewal due-date had a 2.1× higher conversion rate than those contacted after 24 hours - regardless of channel or language. Automation's primary value is immediacy.
The 23-point gap in renewal rates between Hindi/English and vernacular policyholders was entirely bridged by deploying Tamil and Marathi AI agents. This is not a customer experience courtesy - it is a material revenue recovery opportunity that most insurers are systematically underinvesting in.
Redirecting 33 agents from first-touch dialing to specialist renewal advisory roles increased premium value per agent interaction by 4.3×. The ROI calculation should always include the value of human capital freed from repetitive tasks - not just the cost of calls replaced.
Moving from 61% to 100% CRM completeness unlocked propensity modelling capabilities the client had not previously been able to build. Within 60 days of the deployment, the analytics team had built a renewal-lapse predictor using the structured call disposition data - something manual logging had made impossible.
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