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Bhavya AGgarwal on Muck Rack

Bhavya AGgarwal

As seen in: Medium, The Next Web, DZone, Capterra, Free Press Journal (India), Elle (India), Training Industry, Getapp, The Copernican Shift

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Articles

Agentic AI in Insurance: Use Cases, Tools & Real-Life Examples

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By Bhavya AGgarwal
| The Copernican Shift
While Generative AI has been making waves across a variety of industries, the use of AI in the insurance industry - where precision, risk control and expert judgment are crucial - demands a more advanced solution. It requires smart systems that can think ahead, plan moves, and handle tough stuff like underwriting, claims, or spotting risks on their own. That's where agentic AI steps in.
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Agentic AI vs. LLM: Key Differences, Use Cases and CX Impact

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By Bhavya AGgarwal
| The Copernican Shift
If the difference between agentic AI and LLM had to be summed up in one word, it would be “autonomy.” Large language models (LLMs) have limited autonomy. They generate text, summaries, answers and code that help customer service teams work faster, but they do not act independently. Agentic AI, on the other hand, is built for complete autonomy. It plans, executes and manages the operational tasks so your human agents can focus on more critical CX priorities.
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Conversational Surveys: A Better Way to Get Honest Data

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By Bhavya AGgarwal
| The Copernican Shift
Enterprises have long relied on customer surveys to guide product and service decisions. Yet, in today’s digital world, traditional surveys often fall short. Lengthy forms, impersonal questions, and delayed follow-ups leave customers disengaged, driving low response rates and data that rarely captures authentic sentiment. Conversational surveys address this gap by turning feedback into a two-way dialogue.
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