200% Conversion Lift: How Voice AI for Financial Services Closed “Midnight Gap” for Shriram Finance Ltd

Increase in Hiring Quality

Time saved by recruiters

Location

India

Industry

NBFC

A Trusted NBFC: Losing Customers After 6 PM

Shriram Finance Ltd is a premier Non-Banking Financial Company, a household name across hundreds of Tier-2 and Tier-3 towns in India. Founded in 1979, they have spent years earning the trust of everyday Indians, from farmers looking to secure their gold to salaried families building their savings through Fixed Deposits.

They are an established institution, one that has already done the hard work of building customer trust. But they had a problem that technology had quietly created, and only technology could solve.

Their customers were calling after hours. And nobody was picking up.

1979

Market Expertise

Over 40 years of building trusted financial foundations across local markets.

🏛️

Foundation

Serving customers since 1979 with integrity and deep financial knowledge.

20 Lakh+

Active Customers

A massive family of individuals trusting our client's expertise to grow their wealth.

🤝

Pan-India Trust

Millions of happy customers — from bustling metros to small villages.

150+

Branch Network

Strategic locations across Tier-2 and Tier-3 cities ensuring accessibility.

📍

Growing Reach

Ensuring financial solutions are within reach of every aspiring Indian family.

4 Products

Core Solutions

Specialized focus on FDs, Personal Loans, Gold Loans, and Smart Investments.

💼

Complete Support

Our core products are designed to cover your life's biggest financial milestones.

The 4 Challenges That Were Costing Real Money

Step outside the office, and the real problem becomes clear. The NBFC’s contact center shut down at 6 PM, just when customers were finally free to think about their finances.

In Tier-2 and Tier-3 cities, evenings are when people explore FD options, compare returns, and make decisions. After dinner, they pick up their phones and call.

But every time they called, they got silence.

And in finance, silence doesn’t just mean a missed call, it means a lost customer.

Radar: 0 Response

The Midnight Silence

Traditional contact centers operated only from 9 AM to 6 PM. Every evening, the phones went dark, but customer intent didn't stop. Over 1,000 calls per day came in after 6 PM with zero response. These weren't just missed calls; they were investors ready to commit.

1,000+ daily after-hours calls ignored

₹

Monthly Churn

The Revenue Bleed

A 68% call abandonment rate meant that most customers simply moved on after hearing no answer. They didn't call back; they found another NBFC or bank. This silent churn translated into an estimated monthly revenue loss of ₹25 Lakhs or more.

68% abandonment → ₹25L+ lost every month

Intent Fade

The "Intent Window" Problem

Financial decisions have a very short emotional shelf life. When someone is motivated to invest at 10 PM, they're excited. By 11 AM the next day, that excitement has cooled. Manual follow-ups resulted in a 45% conversion loss.

45% conversion lost to next-day delays

Cost Ceiling

The Cost Wall

Running a full human contact center through the night would have increased operational costs by 85%. For an NBFC competing on margins, that was simply not viable. They needed scale without the impossible salary bill.

85% cost spike to extend human hours

A Customer Call – At 11 PM – Handled Perfectly

Here is exactly what happens when a customer calls the client’s number after business hours. Every step is handled by Rootle’s Voice AI, in Hinglish, in real time.

11:52 PM

📞

Customer Calls In

Voice AI Answers

Ramesh, a schoolteacher from Nashik, dials the NBFC helpline. Rootle's AI answers within 2 rings, no hold music, no IVR maze.

"Namaskar! Mein aapki kaise madad kar sakta hoon? Kya aap Fixed Deposit ke baare mein jaanna chahte hain?"

11:53 PM

🧠

Intent & NLP Processing

Hinglish NLP

Ramesh speaks naturally, a mix of Hindi and English. Rootle's engine understands the intent immediately: Tenure (3 years) and Product Type (FD).

11:54 PM

🔓

Secure Identity Verification

Multi-Factor Auth

The AI prompts him for DOB and Customer ID. Within seconds, his identity is verified and account pulled up, all without a human agent.

"Bilkul. Verification ke liye, apna Customer ID aur date of birth batayein."

11:55 PM

📊

Live FD Calculator via API

Real-time Data

Rootle calls the NBFC API in real time. It reads back the exact maturity amount personalized for Ramesh's category.

"Aapke 2 lakh ke investment par, 3 saal mein aapko ₹2,62,480 milenge, at 9.4% per annum."

11:56 PM

🔥

AI Lead Scoring & CRM

HOT LEAD FLAGGED

Based on high intent and confirmed amount, the AI scores Ramesh as HOT. His full summary is logged in the CRM, ready for 9 AM sharp.

9:01 AM

🤝

Team Starts With Context

The sales team opens their dashboard. No cold calling needed. They see Ramesh’s rates, questions, and profile. Every call starts warm.

4 Intelligent Capabilities. One Seamless Experience.

Rootle deployed an Agentic Voice AI solution, not a basic IVR, not a chatbot, but a fully conversational AI that acts as a seamless extension of the sales team of Shriram Finance Ltd.

Hinglish NLP Engine

Most Indians in Tier-2 cities don’t speak pure English or pure Hindi, they speak a natural blend. Rootle’s NLP engine is trained specifically on this Hinglish mix, understanding phrases like “FD mein kaisa return milega” as naturally as “what is the FD return.” No awkward pauses, no “I didn’t understand that.”

Instant FD Interest Calculator

Customers don’t want to be told “we’ll send you a brochure.” They want numbers, right now. Rootle integrates directly with the NBFC’s calculation API to give real-time, personalized FD return projections based on the customer’s investment amount, chosen tenure, and account category (Regular / Senior Citizen / Staff).

Secure Multi-Factor Authentication

Financial data is sensitive. Rootle’s system verifies existing customers using Date of Birth + Customer ID before surfacing any personal account information.

This isn’t just a security checkbox, it’s what allows the AI to have genuinely personalized conversations with lakhs of existing customers at scale.

AI-Powered Lead Scoring

Every conversation is analyzed for signals – How specific were their questions? Did they ask about documentation? Did they mention a timeline?

Based on this, each lead is automatically classified as Hot, Warm, or Cold and prioritized in the morning CRM queue. Sales teams no longer waste time guessing who to call first.

The transformation has been remarkable. Rootle's Voice AI agent has not just improved our customer service — it has revolutionized how we think about customer engagement. Our sales teams are now more productive than ever, and our customers get answers the moment they need them.

— Chief Technology Officer | Leading NBFC, India

The Numbers That Changed Everything

Eight weeks after deployment, the client’s overnight hours stopped being a liability. They became an asset. Here’s what changed:

Next Day

0 sec

Response Time

Now instant, 24/7

100% Instant

12%

Lead Conversion Rate

Personalized AI focus

+200% Lift

68%

Call Abandonment Rate

No call left unanswered

-75% Drop

Baseline

+0%

Sales Productivity

Warm leads only

Streamlined

Rootle AI Performance Table

Metric	Before Rootle	With Rootle AI	Improvement
After-hours response	No coverage (6PM–9AM)	Instant, 24/7	100% Instant
Lead Conversion Rate	12%	36%	+200% Lift
Call Abandonment Rate	68%	17%	−75% Drop
Sales Team Productivity	Manual follow-up every morning	Pre-scored, prioritised queue	+45% Efficiency
Operational Cost to Scale	+85% for human night shift	Fixed, predictable AI cost	Dramatically Lower
Monthly Revenue Recovery	₹0 from after-hours	₹25L+ recovered	New Revenue Stream

How AI Lead Scoring Changed Mornings at Shriram Finance Ltd.

Before Rootle, the sales team would arrive in the morning and face a list of last night’s missed calls, no context, no priority, no idea who was serious. Cold calling an unqualified list is demoralizing and inefficient.

After Rootle, every morning the CRM shows a pre-scored queue. Hot leads, people who asked specific questions, confirmed amounts, and showed strong engagement, are at the top. Sales teams start every day with warm conversations, not cold ones.

The result? A 45% improvement in sales productivity, not because they worked harder, but because they stopped wasting time on the wrong leads.

→ This shift changes how teams operate completely.
→ Time is spent where it actually converts.
→ Every conversation starts with intent, not guesswork.

Live Lead Prioritisation

🔥 HOT

72% Priority

72%

⛅ WARM

20%

❄️ COLD

Hot Lead Criteria

✅Detailed FD tenure queries

✅High investment confirmation

✅Documentation clarity sought

✅Engaged for 3+ minutes

✅Verified identity & history

From Nothing to Live Under 10 Days

A structured, four-phase approach ensured the Voice AI felt like a natural extension of the NBFC’s team, not a foreign system bolted on.

Day 1-2

Discovery

Deep-dive into the NBFC's FD product workflows, compliance requirements, and scripts. Mapping every query type and security protocol.

Day 3-4

Integration

Custom AI training on your product portfolio. API development for real-time FD calculators and CRM integration. Hinglish model fine-tuning.

Day 5-6

Optimisation

Performance tuning, edge-case handling, and internal UAT. Stress testing with simulated call volumes and security audits.

Day 7-8

Go Live

Full production launch with real-time monitoring dashboards. Rootle team on standby for immediate response and day-one tracking.

The Takeaway

Shriram Finance Ltd. had everything they needed to grow, great products, strong customer trust, and a large existing base. What they were missing was a way to serve customers in the hours when intent is highest but human teams are offline.

Rootle’s Voice AI didn’t just plug a gap. It converted a daily revenue bleed into a repeatable, scalable sales engine, one that gets better with every conversation.

LESSON 01: Intent has an expiry time. The customer who calls at 10 PM won’t be as motivated at 10 AM. Answer when intent is live.

LESSON 02: Scale ≠ headcount. Adding 50 night-shift agents is expensive and fragile. AI handles 1,000+ calls simultaneously, every night.

LESSON 03: Indian customers speak Hinglish. A voice AI that forces pure English or pure Hindi will always feel foreign. Meet people where they are.

LESSON 04: Sales productivity is about quality, not quantity. Pre-scored leads let your best people do their best work.