AI, PM, AHT, ACW, LLM, MCPs

He is an AI Product Leader specializing in enterprise GenAI and conversational AI platforms, with over 15 years of experience driving products from concept to measurable business impact across global organizations. Currently, he is a Senior AI Product Manager at XXXX, where he serves as the primary Product Owner for an enterprise-grade Voice AI platform, managing the end-to-end delivery of conversational AI across four major global client deployments. He successfully delivered a 30% reduction in Average Handle Time (AHT) and a staggering 90% automation of After-Call Work (ACW), virtually eliminating manual post-call tasks for a workforce of over 150 agents. He expertly translates complex business needs into AI-powered user stories and workflows, ensuring that Agent-Assist tools are seamlessly integrated with internal enterprise systems and customer interaction platforms. He also owns the complete product roadmap, aligning AI innovation with business KPIs, revenue generation targets, and operational efficiency goals. And he manages a project budget ranging from ₹50L to ₹2 Cr, making critical decisions on cloud infrastructure, LLM selection, and specialized vendor tooling. Throughout his career, he has helped global organizations scale their AI maturity, focusing on both top-line revenue growth and bottom-line cost savings. His 18-year tenure includes significant work in Logistics and Human-Centric Industries, allowing him to apply diverse operational perspectives to modern AI product management.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?  

Strongest skills would be AI discovery, synthesis, GENAI adoption and MCP, and full cycle product sovereignty. He is expert at identifying core business pain points and architecting the specific AI technical requirements needed to solve them. He also leads the initial phase of the product lifecycle, utilizing competitive analysis and market research to define the “Right Direction” for AI development before the first line of code is written. While also coordinating with engineering leads to ensure the necessary technical competencies (LLM expertise, data engineering, etc.) are aligned with the product’s strategic goals. He treats Generative AI not just as a tool, but as a core organizational capability to be scaled. He specializes in driving the adoption of Gen AI within enterprise environments, focusing on workflows that increase revenue and operational efficiency. An expert in working with MCPs to ensure that AI agents and models have the correct contextual grounding, leading to higher accuracy and more relevant user interactions. And he leads the team through iterative improvements, ensuring that the AI product adapts to evolving user feedback and changing market landscapes. Moreover, he ensures that AI features are not only technologically advanced but also seamlessly integrated into existing business workflows and customer interaction systems. And he manages the entire “Zero-to-One” journey, providing a steady hand for the development team from the initial ideation through to the final global rollout.