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Shreeravi Kachinthaya

Shreeravi Kachinthaya

Agentic AI and Data & Analytics solution leader

shreeravi
Bengaluru, Karnataka, India
Joined March 2026
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Summary

Practitioner and leader in agentic AI and enterprise data solutions: Shreeravi leads solution design and go-to-market efforts for Data, Analytics & AI with a specific focus on agentic AI, building accelerators, articulating GTM, and driving presales and partner engagements to operationalize agentic AI at scale. apexon+1
Thought leader on AI governance and practical deployment: Through multiple articles and presentations, he emphasizes governance, trust, cost-efficiency, and operational frameworks (for example proposing HR-like governance for AI agents) to help enterprises adopt agentic AI responsibly. apexon+1
Experienced cross-functional background spanning engineering, marketing, and consulting across global markets: His career includes engineering roles (Huawei, Fidelity), consulting and marketing roles (globeone, Wipro Technologies), and senior AI practice leadership at Wipro and Apexon—bringing both technical delivery and GTM/marketing experience. xing+1
Active communicator and content contributor on agentic AI topics: Regularly publishes long-form posts and speaks on agentic AI, Microsoft Fabric Data Agents, cost optimization, and vendor evaluation—using these channels to influence enterprise adoption and best practices. apexon+1

Work

Education

Writing

Managing the AI Workforce: Why Your Agents Need an HR Function

February 1, 2026

Argues that autonomous AI agents should be governed like a workforce (proposing 'HAIR' — Human and AI Resources), and outlines governance, trust, and operational frameworks for integrating agents safely into enterprise workflows.

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Microsoft Fabric Data Agents: Conversational AI for Enterprise Insights

September 1, 2025

Explains Microsoft Fabric Data Agents and how conversational AI can be used to query enterprise data sources securely, the architecture and use-cases, and how Apexon helps clients deploy and govern Fabric Data Agents.

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Evaluating Agentic AI Partner: What to Consider

September 1, 2025

Provides criteria for enterprises to evaluate agentic AI vendors, covering technology capabilities, scalability, customization, security, governance, and ROI considerations for selecting a partner.

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9 ways to Reduce Agentic AI Development Costs

May 1, 2025

Presents practical tactics to lower agentic AI development costs, including modular architectures, low-code tools, model selection strategies, FinOps practices, testing strategies, and operational governance.

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Hobbies

Avid traveler (30+ countries), enjoys long drives, gardening, and reading. fliphtml5+1