How can fintech companies deploy AI agents at scale while protecting consumers and meeting strict financial regulations?

Recorded live at AI4 2026 in Las Vegas, Sanjay Puri speaks with Manoj Mathew, CTO and CRO at LendingUSA, about how AI agents are transforming lending, customer service, fraud detection, risk modeling, and financial inclusion.

Manoj shares four principles for deploying AI agents in regulated industries: decisions must be reversible, outcomes must be clearly defined, decisions must be explainable, and a single person must ultimately be accountable. He explains why AI governance cannot become the responsibility of a committee—and why accountability must sit with a senior executive.

The conversation also explores how LendingUSA is using AI agents to handle approximately 40% of its call-center volume, how AI can bring empathy into customer interactions, and how fintechs are using data and machine learning to serve underbanked and thin-file customers.

Manoj also discusses the future of banking, the decline of physical bank branches, AI-powered fraud detection, synthetic data, open-source AI, model-agnostic development, and why Agentic AI may currently be overhyped.

In this episode:

  • The four rules for safe AI agents in financial services
  • Why AI accountability must belong to one person
  • How AI agents are handling customer service at scale
  • AI-powered lending and loan approvals
  • Using AI to improve financial inclusion
  • AI for fraud detection and risk modeling
  • Explainability and regulatory compliance in fintech
  • Why Agentic AI may be overhyped
  • Synthetic vs. human data
  • Open-source vs. closed-source AI
  • Why physical bank branches may eventually disappear
  • Model-agnostic AI development
  • How fintechs can move faster than traditional banks
  • The future of AI-powered financial services

Whether you’re a Chief AI Officer, CTO, CRO, CIO, fintech leader, banking executive, policymaker, or enterprise AI practitioner, this conversation offers a practical look at deploying AI in one of the world’s most highly regulated industries.

Recorded live at AI4 2026 in Las Vegas by Knowledge Networks.

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Chapters

 

00:00 The four rules for deploying AI agents safely

00:44 Meet Manoj Matthew, CTO & CRO at LendingUSA

01:10 Balancing AI innovation with consumer protection

01:40 The four principles of AI agent governance

03:06 Why one person must be accountable for AI

04:10 Who should own AI accountability?

04:51 Governing thousands of AI agents

06:04 Why AI metrics must go beyond scale

07:35 Can AI agents show empathy?

07:50 AI agents handling 40% of call-center calls

08:37 How AI uses customer context and data

10:03 Why AI agents don’t upsell—yet

11:31 Scaling AI-powered customer service

12:26 Can AI agents approve loans?

13:14 Why fintechs can move faster than traditional banks

14:34 Fintech vs. traditional banking

15:38 The future of physical bank branches

17:39 Using AI to unlock financial inclusion

20:18 AI and machine learning in lending and fraud

21:26 Are frontier AI models a threat to fintech?

22:20 Why regulated industries can’t tolerate AI hallucinations

23:12 Building faster, better financial experiences

23:37 Synthetic data vs. human data

23:41 Open-source vs. closed-source AI

23:48 Is Agentic AI overhyped?

24:07 Will physical bank branches disappear?

24:28 AI decisions: fraud detection vs. developer productivity

25:11 Why model-agnostic AI development matters