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Artificial Intelligence has progressed far from just general automation; it is now tailored for specific applications. One of the most important trends in enterprise technology today is the adoption of customized AI systems designed to meet the unique needs of different industries. This development helps organizations achieve specific, high-impact results.
The new systems, known as Vertical AI Agents, are designed within targeted domains, utilizing capabilities to address sophisticated issues within one specific sector, such as healthcare, finance, and manufacturing.
In this latest episode of the Analytics Insight podcast, host Priya Dialani speaks with Gaurav Gupta, Co-founder and CEO of Carepay, about the implications of these agents specialized in changing industries by delivering outcome-driven, context-oriented, processing-thought intelligence.
Priya starts the discussion by describing how companies are moving away from general, general-purpose AIs towards vertical models that understand the subtleties of specific verticals. Gaurav points out that vertical AI is moving companies away from generic digital tools and into solutions that deliver real outcomes, not just data readings.
“A general AI agent gives you responses, but a vertical AI agent gives you outcomes,” says Gaurav. “When you go deep into one domain, you understand its challenges, regulations, and context, and that’s where real transformation happens.”
According to Gaurav, the effectiveness of any vertical AI system rests on three critical pillars: context, control, and connectivity.
Context: The AI should be able to recognize the situation it is in, which includes the use of specific words in the domain, the different tasks performed, and the feelings of the users.
Control: In high-trust industries such as healthcare and finance, systems must always be able to track their actions, provide reasons for their decisions, and verify that they are in compliance with regulations.
Connectivity: The agents should be able to easily connect with the stacks of digital public infrastructure, financial APIs, and the healthcare industry to provide comprehensive solutions.
These three ensure that vertical AI agents are empathetic, compliant, and able to work together to transform the AI system into a digital partner with the ability to build trust, rather than an automated tool.
Carepay has a straightforward yet powerful mission: to make healthcare financially accessible to all. The AI incorporated at every stage of the client financing process is what makes the affordability of healthcare in India more accessible.
Gaurav Gupta concludes, explaining, “In 2025, vertical AI agents aren’t just tools, they’re outcome engines driving precision, empathy, and innovation across industries.”
