AI in BFSI: Automate Collections, Servicing and Compliance

Before Lendingkart deployed Convozen, QA coverage across its calls stayed under 10%, more than 100 required process steps were drifting out of compliance, and follow-up promises made on calls went untracked. Most lenders, banks and insurers run on the same arithmetic. Conversations are the largest unstructured dataset in the business, and a small sample of them gets reviewed by hand.

Convozen is a unified conversational agent platform that closes that gap with agents that speak, agents that assist, and agents that audit, all on one stack.

Three agents, one BFSI workflow

The agents share persistent context. A customer who ignores a WhatsApp reminder can pick up the same thread on a voice call, without repeating themselves.

Voice AI agents built for lending and servicing

Voice is where BFSI revenue and risk concentrate: pre-approved loan offers, EMI reminders, card renewals, hardship conversations. These calls fail when the bot lags or talks over the customer.

Jana Small Finance Bank hit exactly this wall. Early voice bots felt robotic because of latency and poor turn-taking. Giridhar Amerlai, Head of AI & Innovation at Jana Bank, put it this way:

“We couldn’t get the latency and orchestration right in-house… with Convozen, it became seamless to test and run multiple use cases with a much more human-like experience.”

The results at Jana were a 10% boost in resolution rate across use cases and 7% sales growth from conversion gains. The AI voice agent for BFSI handles calls in 9+ Indian languages and regional accents, and integrates through APIs with the bank’s existing systems.

The speech layer is why it holds up on real phone lines:

• Akshara STT: 8.1% WER on telephonic speech, against 14.2% for Sarvam Saaras v3 and 14.5% for ElevenLabs Scribe v2 (Akshara ASR Benchmark Report, February 2026)
• End-to-end latency: 850ms minimum on the Light model with light context, with perceived latency capped at 800ms through filler masking
• Scale: 40M+ voice AI calls handled every month across the platform

What the agents automate across the customer lifecycle

Data analytics AI for BFSI: audit every conversation

The Supervisor AI Agent turns recorded conversations into structured data. Every call is transcribed, scored against customised scorecards and checked against checklists, so QA stops being a sampling exercise.

What gets surfaced:

• Compliance violations in collection calls, including failures to follow legal guidelines or internal policy
• Deviations from loan application SOPs
• False promises, such as commitments not covered by the policy
• Fraud signals and missed disclosures
• Sales rejection reasons and competitor mentions, feeding directly into sales strategy
• Objection-handling gaps by rep, tied to targeted coaching with call clips

Lendingkart’s leadership described the change:

“We’ve gone from auditing a single-digit percentage of calls to monitoring virtually every interaction in real-time. The insights we now get from multiple languages and channels are unmatched, and ConvoZen has directly helped us improve conversions, compliance, & customer experience.”

Across the platform, more than 50M conversations are audited every month. Speech analytics that reads Indian telephonic speech, including code-switching, is what makes that coverage meaningful rather than cosmetic.

Copilot: live guidance for complex financial queries

Loan terms, policy exclusions and dispute rules are hard to recall mid-call. The Copilot AI Agent works before, during and after a conversation: it briefs the rep on customer context, prompts compliant responses and rebuttals live, and closes with a summary. Live agent assist keeps human teams accurate on the calls where mistakes cost the most.

Where Convozen differs from generic AI in banking

Ragini TTS is trained on 800+ hours of proprietary Indian voice acting and generates audio in under 200ms.

Integrations that keep your stack intact

Convozen agents connect to existing channels and back-office systems through APIs, so actions like CRM updates and follow-ups trigger automatically from conversation events. Teams keep full visibility through dashboards, transcripts and campaign analytics, and the governance controls sit on top.

Convozen shows its results on your conversations, in your environment, before you commit. Book a demo