Page 42 - The Insurance Times February 2026

5. Medical or repair estimation 1. Digital Public Infrastructure (DPI) Mindset
6. Decisioning UPI and Account Aggregator (AA) demonstrate that
India understands how to build coordinated,
7. Communication and settlement
interoperable digital systems at scale.
Each step may use AI, yet the value emerges only when Insurance AI can benefit from the same architectural
these steps work together coherently. This is why insurers mindset: shared pipes, shared logic, shared trust
must adopt a system lens for AI: frameworks.
Y Shared constraints across models
2. Abundance of Talent Across Tech + Insurance
Y Common policy logic woven into algorithms India's actuarial, data engineering, and AI talent pools
Y Unified audit trails for every AI-assisted action are deep and growing. What the industry needs next is
a systems-oriented skill set - architects who understand
Y Enterprise-wide coordination between underwriting,
claims, risk, compliance, and distribution insurance operations as deeply as they understand AI
models.
The industry doesn't need more use cases. It needs 3. Regulatory Momentum
coordinated intelligence across use cases. IRDAI's push toward "Insurance for All by 2047" opens
the door for systemic innovation.
Agentic AI: Not Just Faster, but Also Redesigned Systems.
Globally, insurance is entering the era of agentic AI, where 4. InsurTech's Increasing Role in Core
software doesn't just recommend but initiates, coordinates, Transformation
and adapts actions. Indian InsurTechs are no longer just distribution players.
They are influencing underwriting, pricing, risk, fraud,
In insurance, this looks like: and servicing the core engine of insurance.
Y Claims intake agents that gather documents, classify
them, cross-verify coverage, and prepare assessors' A Practical Blueprint: How Insurers Can Begin
summaries. 1. Define the "Statement of Business Purpose" for every
AI initiative
Y Underwriting agents that pull risk data, compare
historical patterns, apply rules, and escalate exceptions. 2. Build shared governance before scaling autonomy
Y Fraud agents that correlate signals across multiple 3. Create a unified decision architecture
policies, networks, and historical claims. 4. Keep humans in the loop where judgment matters
Y Customer service agents that resolve routine queries 5. Treat AI platforms as infrastructure, not tools.
end-to-end with auditability built in.
The Next Frontier: Insurance as Coordinated Intelligence
But here is the catch: If India embraces a system-based approach to AI:
Agentic AI cannot be deployed safely unless the governance o Claims could move from reaction to anticipation.
layer and system constraints are redesigned first. o Underwriting could become dynamically context-aware.
This means: o Fraud detection could evolve into network-level
Y Policies become executable rules, not PDF manuals. intelligence.

Y Compliance becomes runtime enforcement, not post- o Customer experience could shift from reactive service
facto documentation. to proactive guidance.
Y Data lineage, visibility, and accountability become first- Insurance has always been a data business. Now it can
class citizens of system design. become a coordinated intelligence business.
Y Human oversight is embedded into workflows, not as The opportunity ahead is immense, not because of what just
an afterthought but as a principle. models can do, but because of how systems can be
redesigned to let AI operate safely, meaningfully, and at
Agentic AI is not a shortcut to automation.
scale.
It is an opportunity to reimagine insurance systems around The chasm between pilots and production isn't a technology
new forms of intelligence. Where India Can Lead the World. gap. It's a system gap. And closing it is where the next
India has some unique structural advantages: decade of Indian InsurTech innovation will be written. T

The Insurance Times February 2026 37