Bhargavi Vepuri

Bhargavi Vepuri is a director in the insurtech and fintech field and an independent researcher with more than 10 years of experience in enterprise technology, AI-driven systems and cloud architecture.

She holds a master’s degree in computer science from the University of Missouri-Kansas City and is currently pursuing a second master’s degree in artificial intelligence and an executive MBA at the University of Texas at Dallas.

She is also an author, speaker, peer reviewer and technology community contributor.

Most Recent

Insurance

Your Policyholder Has an AI Agent, Too

By

Bhargavi Vepuri

Life insurers are AI. The next challenge is preparing for policyholders who use AI to understand, question and optimize their policies.

All Articles

Insurance

AI Governance Needs Continuous Monitoring

By

Bhargavi Vepuri

AI systems in insurance evolve constantly after approval, requiring governance that monitors configuration changes, not just initial deployment.

Who Gave Your AI Agent Permission to Act?

Insurers Need Authority Layers for AI Agents

By

Bhargavi Vepuri

As agentic AI moves from recommending actions to executing them, insurers need an authority layer that defines who an agent acts for, what it may do and where its power must stop.

Insurance AI Requires Full Reconstruction Records Beyond Explainability

Explainable AI Isn't Enough in Insurance

By

Bhargavi Vepuri

Insurers must move beyond explaining AI outputs to documenting the full workflow, controls and human decisions behind each action.

AI Policy

Insurance AI Needs a Policy Preview Layer

By

Bhargavi Vepuri

Insurers can use AI to reduce manual review but only when human oversight is built into the workflow before documents reach customers.

Six Things

Insurance

How Gen AI Can Help Shape Strategy

By Paul Carroll

At any level of setting strategy, from the boardroom to the one-person agency, generative AI can bring assumptions to the surface, helping you see what NOT to do.

Can Frontier AI Outdo the Top MBAs?

Frontier AI models score 88% on MBA-level business cases, but that measures match against known answers, not judgment on open decisions.

1

Are We Really 'Trusted Risk Advisors'?

The test is the client file. Is it just information about transactions, or does it provide a full picture of the client's business?

2

AI Voice Agents Transform Lead Calling

AI can contact leads much faster than a human workforce can, boosting sales, but a small error rate in managing the AI can lead to serious problems.

3

Automation Helps Claims Teams Handle Surges

Hurricane Isaias shows how quickly claims surge after quiet periods, straining leaner teams to review complex restoration invoices thoroughly.

4

What If AI Underwriting Gets It Wrong?

AI-driven underwriting may bind policies faster, but post-bind corrections can erode the collateral backing premium finance loans.

5

How to Use Social Media Intelligence in Claims

Social media intelligence in claims now hinges on authenticated documentation and defensible collection methods, not just finding damaging posts.

6

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A Novel Approach to Preventing Water Damage

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Turning Volatility Into Value

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Your Policyholder Has an AI Agent, Too

By

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Insurance

The $22 Billion Surprise in the No Surprises Act

By

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The Contradiction for Insurers Within AI

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Why Can't We Fund Prevention?

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A Key to Growth for Life Insurers

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