01
A shared data foundation
Bring transactional, financial, documentary and alternative information together as decision-ready context.
Past Webinar · Session Completed
How Do You Build an AI-Native Financial Institution?
A leadership conversation for banks and NBFCs on connecting data, policy, reasoning, automation and human judgement across the lending lifecycle.
50+ ParticipantsAttended the live session
Focused Expert SessionA practitioner-led conversation
AI-native LendingConnected decisions across lending operations
Session Highlights
From isolated AI pilots to connected intelligence.
The webinar explored the foundations of an AI-native institution and the controls needed to turn intelligence into action.
02
Policy and intelligence together
Connect deterministic rules, machine intelligence and reasoning while keeping decisions explainable.
03
Agents across the lifecycle
Explore intelligent workflows across origination, underwriting, servicing, monitoring and exceptions.
04
Human oversight by design
Build evidence trails, policy controls and human escalation into the operating architecture.
Session Overview
Seven questions shaping the AI-native institution
The discussion covered the architectural and operating choices banks and NBFCs face when moving beyond isolated experimentation.
01
What does “AI-native” actually mean?
How an AI-native institution differs from one that simply adds copilots, point models or automation to legacy processes.
02
What data foundation does it require?
Bringing transactional, financial, documentary and alternative information together as decision-ready context.
03
Where do rules stop and AI begin?
Designing the right relationship between deterministic policy, machine intelligence, reasoning and explainability.
04
Where do intelligent agents fit?
Exploring agents across origination, document processing, underwriting, servicing, monitoring and exceptions.
05
How does intelligence become continuous?
Moving from scheduled reviews and static assessment toward systems that continually interpret new borrower information.
06
How do governance and humans remain in control?
Building explainability, evidence trails, policy controls and human escalation into the architecture itself.
07
Where should a Bank or NBFC start?
Choosing the first high-value workflow and creating a path toward connected intelligence without replacing everything at once.
Speakers & Moderator
A practitioner-led conversation
Perspectives on financial workflows, AI adoption and institutional transformation.
Moderator
Anjali Gaugania
Sr. Business Analyst
Novel Patterns
Speaker
Rishabh Joshi
AVP Marketing
Novel Patterns
Speaker
Raghuraj Pratap Singh
Product Strategy Lead
Novel Patterns
Who This Session Is For
For teams building the AI-native financial institution
Business Leaders
Identify where AI can improve lending workflows and institutional decision-making.
Credit & Risk Teams
Connect evidence, policy and explainability across credit decisions.
Technology Teams
Bring data, models and intelligent agents into a connected operating architecture.
Operations Teams
Build practical automation with human oversight and clear exception handling.
Send a Message
Let's Start a Conversation
Tell us about your institution and what you're looking to achieve. Our fintech specialists will get back to you promptly.