- Tuesday, September 01, 2026
Insurance has always been built around one
fundamental question:
“How do we better understand uncertainty?”
For decades, insurance companies have relied on historical data, human expertise, and established models to assess risk. But the volume, speed, and complexity of today’s data landscape are changing the industry.
Responding after events happen → Anticipating risks earlier
Processing information manually → Automating complex decisions
One-size-fits-all policies → Customer-specific experiences
To understand how these changes are happening in practice, we spoke with Avinash Naik from Bajaj General Insurance Limited about their perspective on AI adoption, opportunities, and the future of insurance.
Avinash Naik
President & Chief
Information Officer
Bajaj General Insurance Limited
In this cover story, Avinash Naik shares how Al is moving
from experimentation to execution inside the insurance
industry. From faster claims processing and intelligent
fraud detection to customer conversations, governance,
and employee adoption, the discussion explores what it
really takes to create responsible Al transformation at scale.
The interview goes beyond technology and looks at the
bigger business question: how can insurers use Al to
improve speed, accuracy, trust, and operational efficiency
while keeping human judgment and governance at the
center?
How Al can reduce turnaround time while maintaining accuracy and compliance.
Moving from static rules to intelligent pattern recognition.
Why Al chatbots need business context, product knowledge, and human escalation. Responsible
Why governance, data quality, and human oversight matter.
How leaders can reduce fear and help employees use Al confidently.
"How Al can reduce turnaround time while maintaining accuracy and compliance."
"Moving from static rules to intelligent pattern recognition."
"Why Al chatbots need business context, product knowledge, and human escalation. Responsible."
"Why governance, data quality, and human oversight matter."
"How leaders can reduce fear and help employees use Al confidently."
How Al can reduce turnaround time while maintaining accuracy and compliance.
Moving from static rules to intelligent pattern recognition.
Why Al chatbots need business context, product knowledge, and human escalation. Responsible
Why governance, data quality, and human oversight matter.
How leaders can reduce fear and help employees use Al confidently.
Insurance has always been built around one
fundamental question:
“How do we better understand uncertainty?”
AI & Enterprise Technology
Timely perspectives on artificial intelligence,
enterprise technology and the future of work.
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