Piramal Finance AI delivered ₹102 crore cross-sell in Q2 FY27

Piramal Finance reported ₹102 crore of conversational-AI cross-sell disbursals and ₹172 crore of PIA digital collections in Q2 FY27, with the cross-sell amount three times the prior quarter’s level. Piramal Finance’s Piramal Instant Assistant (PIA) recorded 6.3 lakh interactions, while its AI dashboard showed ₹754 crore of monthly hands-free collections.

What did Piramal Finance’s AI deliver in Q2 FY27?

Piramal Finance’s AI workflows delivered ₹102 crore of quarterly cross-sell disbursals through its conversational AI assistant in Q2 FY27. Piramal Finance reported the same amount in its use-case dashboard and in its quarterly CX.ai spotlight, where it described PIA as supporting the process from lead generation through to disbursement. The dashboard did not provide a Q2 FY26 comparator for this specific disbursal measure.

Piramal Finance also reported ₹172 crore of PIA digital collections in Q2 FY27, up 54% year on year. PIA collects overdue equated monthly instalments and fees through WhatsApp and the Piramal App without human intervention, according to Piramal Finance, and provides real-time payment settlements. The company said the ₹102 crore conversational-AI cross-sell figure was three times the preceding quarter’s level.

Piramal Finance disclosed a broader collections measure of ₹754 crore of monthly hands-free collections in Q2 FY27, compared with ₹300 crore in Q2 FY26. That measure increased by ₹454 crore over the year, but it is not directly comparable with the ₹172 crore PIA digital-collections figure because the dashboard labels one as monthly hands-free collections and the spotlight labels the other as quarterly PIA digital collections.

How did PIA generate cross-sell activity?

PIA generated about 29,000 cross-sell leads in Q2 FY27, up 26% quarter on quarter and representing 20% of Piramal Finance’s total leads generated. Piramal Finance said PIA creates leads across WhatsApp, the Piramal App and call centres, then supports conversational cross-sell through to the ₹102 crore of Q2 FY27 disbursals.

PIA handled 6.3 lakh interactions in Q2 FY27, a 54% increase year on year. Piramal Finance said the assistant handles customer queries, payments and new-loan offers through WhatsApp and the Piramal App. This interaction volume is separate from the approximately 29,000 leads and shows that the assistant’s stated role extends beyond loan-originination activity.

Piramal Finance also reported about 5 lakh voice-AI calls in Q2 FY27, twice the prior-quarter volume. These bots handle welcome calls, equated monthly instalment reminders and promise-to-pay follow-ups. Separately, Piramal Finance said generative-AI email automation lifted cross-sell productivity to five times its pre-automation level by moving routine service emails away from human agents.

Which Piramal Finance underwriting AI measures increased most?

Piramal Finance’s document-fraud intelligence showed the largest rise among the disclosed underwriting workflow volumes, scanning 6,06,712 documents for tampering and fraud in Q2 FY27, compared with 1,13,732 in Q2 FY26. Image intelligence processed 2,12,757 images for use in credit decisioning, up from 59,362, while AI-assisted bank-statement analysis rose to 1,94,486 statements from 1,82,551.

Piramal Finance’s fraud decisioning AI engine issued alerts in 20,93,724 cases in Q2 FY27, compared with 10,85,760 cases a year earlier. The presentation measures documents, images, statements and cases handled by AI, rather than the resulting number of loans approved, rejected or referred for further review.

Piramal Finance’s masking workflow identified 20,84,295 documents or Aadhaar records for masking in Q2 FY27, up from 13,11,335 in Q2 FY26. Across the four underwriting and compliance measures in the table, document-fraud scanning rose more sharply than bank-statement analysis, while fraud-alert cases nearly doubled.

How much customer service and onboarding moved to AI?

Piramal Finance said 74% of customer-service activity was handled by WhatsApp, mobile-app and email automation in Q2 FY27, compared with 67% in Q2 FY26. The company classifies this measure as AI-enabled customer resolutions, indicating a 7-percentage-point increase in the share of service activity handled through these digital channels.

Bot-based onboarding accounted for 41% of total onboarding in Q2 FY27, up from 11% a year earlier. Piramal Finance also increased its live voice and chat bots to 49 from 12 over the same period. These measures describe the use of bots in customer processes, while the presentation does not disclose the number of customers onboarded or the number of service requests resolved.

Piramal Finance’s internal-workforce use cases also expanded in Q2 FY27. ARYA, described as a work assistant, coach and friend, received 5,56,400 queries against 3,85,000 in Q2 FY26, while AI-assisted contest-management messages rose to 2,11,600 from 1,68,000. Piramal Finance also reported that AI interviewed 2,648 relationship managers during Q2 FY27, without a Q2 FY26 comparison.

Why do Piramal Finance’s ₹172 crore and ₹754 crore collections figures differ?

Piramal Finance’s ₹172 crore figure is quarterly digital collections through PIA in Q2 FY27, while ₹754 crore is monthly collections through hands-free collections in the AI use-case dashboard. Piramal Finance describes PIA collections as overdue instalment and fee collections completed via WhatsApp and the Piramal App, whereas the dashboard provides no equivalent product-level description for the ₹754 crore monthly measure.

The ₹754 crore hands-free figure was ₹300 crore in Q2 FY26, while Piramal Finance reported only a 54% year-on-year growth rate, rather than a prior-year amount, for the ₹172 crore PIA measure. The two figures therefore differ both in stated period and disclosed mechanism. Piramal Finance does not state how much of the ₹754 crore monthly hands-free total came from PIA.

Voice AI adds a third collection-related mechanism in the presentation, with about 5 lakh calls in Q2 FY27 for reminders and promise-to-pay follow-ups. PIA, by contrast, is described as executing collections and payment settlements, while the hands-free dashboard measure is reported as a rupee collection value. Piramal Finance does not disclose whether voice-bot follow-ups contribute to the ₹172 crore PIA total, the ₹754 crore hands-free total, or both.

Conclusion

Piramal Finance attached rupee values to selected AI workflows in Q2 FY27: ₹102 crore of conversational-AI cross-sell disbursals, ₹172 crore of PIA digital collections and ₹754 crore of monthly hands-free collections. The commercial measures were accompanied by 6.3 lakh PIA interactions, about 29,000 PIA-generated leads, higher bot onboarding and increased volumes in fraud screening and credit-decision support.

The next disclosure to watch is whether Piramal Finance clarifies the overlap between its ₹172 crore quarterly PIA collections and ₹754 crore monthly hands-free collections, an unresolved scope issue in the presentation. Piramal Finance has also identified PIA as an end-to-end cross-sell tool from lead generation to disbursement, making its future lead share, disbursals and quarter-on-quarter growth relevant operating measures.