Modernising Collections with Account Aggregator & AI
At Bharat Fintech Summit 2026, Nirav Prajapati Co-Founder & CEO, Ignosis shared a bold thesis:
Collections don’t need more calls. It needs more context.
Representing Ignosis, he showcased how Account Aggregator data + AI agents can transform recovery outcomes at scale.
- The Core Problem with Traditional Collections
- Every default is treated the same
- Rule-based mandates ignore real cash flow cycles
- AI calling without context = scripted conversations, zero resolution
- High field allocation = high cost
- The Shift: Context-Driven Intelligence
With 37+ crore consents and 25+ crore linked accounts, the Account Aggregator ecosystem is already operating at population scale.
Instead of reacting to “overdue,” Ignosis uses:
- Cash flow patterns
- Peak balance behaviour
- Salary credits & EMI prioritisation
- Discretionary spend insights
- Bureau + repayment history
To build intent scoring models.
- Smarter Orchestration
Not every borrower needs a field visit.
- High intent → Digital nudges
- Medium intent → Voice AI agents
- High risk → Human intervention
Even mandates become intelligent
Retry when probability peaks
Pause when it won’t work.
Split EMIs into collectible tranches when balance is low.
- The Impact
- 25% reduction in collection costs
- 1–3% lift in recovery
- 4% D30 efficiency improvement
- 100% QA coverage through AI monitoring
Operating across ~100,000 borrowers and scaling.
- Compliance by Design
Loan monitoring & collections consents are taken upfront.
Daily balance pulls (collections consent).
Transaction visibility (monitoring consent).
Fully consented. Fully compliant.
- The Big Takeaway
The future of collections is not louder.
It’s smarter.
When Account Aggregator data meets AI orchestration, collections move from reactive chasing to predictive engagement.
And that’s how modern lending institutions will protect margins without hurting customer experience.
