Industries · Lending
From acquisition and onboarding to underwriting, servicing, collections, risk and governance — copilots and assistants that improve conversion, turnaround time, service efficiency and portfolio control.
The value we unlock
01
Frictionless onboarding and smarter cross-sell targeting.
02
Documents read, validated and decisioned in minutes.
03
Field, branch and service teams supported by copilots.
04
Early warnings, compliant collections and audit-ready risk controls.
Depth across the journey
Each one targets a real bottleneck, from the first lead to the last collection call.
01
Acquire & apply
Frictionless onboarding
AI-powered KYC & onboarding automation
SMS parsing for smarter cross-sell and upsell
Multilingual loan assistant for onboarding
02
Verify & document
Automated processing
Loan document validation and decisioning
Intelligent document processing for faster approvals
03
Underwrite
Intelligent decisioning
Real-time loan decisioning (AI-BRE)
Underwriting automation
Cashflow underwriting for new-to-credit and MSME
04
Field & branch
Empowered agents
Field officer copilot for doorstep sourcing
Branch and operations knowledge copilot
05
Service & collect
Proactive engagement
AI-driven collections & recovery
Collections copilot for compliant repayment support
Servicing and support assistant
Complaint resolution copilot
06
Risk & govern
Robust compliance
Agentic risk control matrix generation
Talk to data for CROs and CXOs
Voice-of-customer intelligence
Early-warning risk monitor
Fintech partner governance copilot
How we have solved it
Underwriting · Document intelligence
KYC, bank statements, financials and compliance filings parsed into a 2–4 page, underwriting-ready summary, with risks surfaced and low-confidence fields flagged for review.
15–20m→2–3m
review time per case
3,000+
applications a day
98.5%
acceptance in production
Vehicle loans · Agentic AI
Dealer-uploaded KYC, bank and asset documents checked against entered data by an agentic workflow; green auto-approves, amber goes to a person, red is rejected, with tampering checks.
~85%
faster turnaround
2–3 min
from 10–25 min
900+
staff supported
Collections · Machine learning
For a lender with USD 8B+ AUM across personal, consumer durable and MSME loans, default probability scored for every active loan 30, 60 and 90 days ahead, deployed with MLOps on AWS.
12%
better overall collection
30·60·90
day early warning
3
risk segments
Underwriting · Decision support
An advisory layer over the existing business rules engine that recommends eligibility thresholds by cohort, balancing approval lift against portfolio risk, with what-if analysis.
Advisory
teams keep authority
Cohort
level rules
Audit
ready trail
On a trusted data foundation
Every lending use case runs on a single source of truth across LOS, LMS, collections, distribution and finance.
Start with a discovery workshop on one high-value use case, then a 4-week MVP verified by your own teams.