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“The Future Belongs to Agentic AI”: A Candid Conversation with Anubhav Sharma, Head of Agentic AI at Jeeva AI

## Agentic AI and its Impact on Sales Workflows

JBy Jonathan PierceOct 08, 20251 min read

Agentic AI and its Impact on Sales Workflows

Jeeva AI is advancing agentic AI capabilities under the leadership of Anubhav Sharma. The company focuses on innovations in autonomous sales workflows, highlighting a transformation in sales processes.

Anubhav Sharma's background includes studying computational models that emulate cognitive processes. His work at Jeeva AI led to the development of autonomous sales agents capable of planning, adjusting, and executing complex sales outreach strategies.

Agentic AI differs from traditional assistive AI by functioning autonomously. It takes predefined goals—such as increasing sales conversions—and independently determines the methods to achieve them. This includes analyzing data, drafting outreach sequences, and adapting strategies based on prospect behavior.

Jeeva AI emphasizes goal-oriented autonomy over task-level automation. Their AI agents autonomously manage sales processes, from prioritizing leads to personalizing messaging and reallocating efforts mid-campaign, all without requiring constant human prompts.

Jeeva AI is advancing agentic AI capabilities under the leadership of Anubhav Sharma.
Jonathan Pierce · Thehackingpost

Key challenges in achieving this autonomy include building trust and ensuring AI explainability. Jeeva AI integrates reasoning models and real-time explainability layers, allowing agents to explain their actions and ensuring that human users understand the decision-making process.

Jeeva AI plans to develop collaborative multi-agent ecosystems, where different AI systems coordinate across sales, marketing, and support domains. They also aim to integrate ethical reasoning into their agents, balancing business objectives with compliance and brand values.

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Jeeva AI's development of agentic AI represents a shift from static automation to dynamic autonomy. This approach offers enterprises a strategic ally in scaling revenue efficiently. As businesses increasingly integrate AI, collaboration between human creativity and machine intelligence is expected to become the norm.

Based on reporting by TechBullion.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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