AI bots handle 71% of Bajaj Finance’s DIY service, drive ₹2,500 crore in quarterly disbursals
Bajaj Finance says its AI, voice and text bots generated ₹2,500 crore in Q1FY27 disbursals as it expands its AI unit from 230 to 400 people. The lender is targeting ₹11,000–12,000 crore in bot-led disbursals for the full year and a consumer AI platform by mid-2027.
What happened
Bajaj Finance is scaling AI across lending, underwriting, marketing and service. In Q1FY27, bots handled 71% of DIY service and drove Rs 2,500 crore of
Key facts
- 27 AI bots live
- AI unit expanding from 230 to 400 people
- 300 employees added to digital-platform team
- Rs 50,000 crore digital-platform business targeted this year
- Rs 100,000 crore volume targeted next year
- 45 million customer interactions analyzed in Q1FY27
- 4 lakh additional offers generated
- Rs 517 crore disbursements from AI-driven consumer insights
- 20%+ underwriting efficiency improvement
- Rs 2,500 crore quarterly disbursements via AI, voice and text bots
- Rs 11,000-12,000 crore full-year bot disbursement target
- 71% of DIY customer-service volume handled by AI bots
- 17 of 118 agentic applications deployed
- 17%-18% of consumer personal-loan originations from voice bots
- 0.5 million incremental B2B customers targeted via custom AI model
- Voice AI costs approximately one-third of human labor
Why this matters
Bajaj Finance’s planned consumer AI platform and expansion of its AI team from 230 to 400 create partnership and acquisition opportunities in conversational AI, underwriting intelligence, voice technology and compliant financial-data infrastructure.
What to watch
- Quarterly bot-led disbursals versus the ₹11,000–12,000 crore FY27 target.
- Conversion rate, approval rate, ticket size and delinquency performance of bot-originated loans versus assisted and branch channels.
- Cost-to-income ratio, employee productivity and call-center/contact-center expense trends.
- RBI guidance, customer complaints, mis-selling allegations or data-privacy incidents tied to AI-led journeys.
- Evidence that the planned mid-2027 consumer AI platform gains active users and expands beyond service automation.
- Competitor disclosures from major NBFCs, private banks and fintechs on AI-driven loan origination volumes.
- Expand bot journeys from servicing and repeat loans into pre-approved consumer durable, personal loan, insurance and SME cross-sell flows.
- Increase AI-unit hiring and integrate voice bots across vernacular languages to raise conversion beyond digitally fluent urban customers.
- Build a consumer AI platform around account servicing, product discovery, credit eligibility and proactive renewal recommendations.
- Introduce stronger human-in-the-loop escalation for complaints, vulnerable customers, fraud flags and high-value credit decisions.
- Use bot interaction data to refine propensity models, reducing acquisition spend while increasing repeat-customer share.