Pradyot Mandal

About Pradyot Mandal

I lead product strategy at IBM for enterprise automation platforms, including IBM Business Automation Workflow (BAW), with a focus on reimagining how organizations design and execute work in the age of AI.My work is centered on transforming traditional workflow systems into AI-native, agent-driven platforms—where automation is no longer static, but context-aware, adaptive, and intent-driven. I operate at the intersection of product leadership, enterprise architecture, and applied AI, translating emerging capabilities into scalable, enterprise-grade solutions.A key area of focus is leveraging the Model Context Protocol (MCP) to enable interoperability between AI agents and enterprise systems. This includes defining how business processes, APIs, and organizational context can be exposed as structured, secure, and reusable capabilities that AI systems can reason over and act upon.I am driving a broader platform shift toward:* Agentic AI architectures, enabling autonomous execution and decisioning across enterprise workflows* Natural language interfaces, allowing business and technical users to interact with complex systems conversationally* Context-driven automation, where AI systems dynamically adapt to enterprise data, policies, and real-time signalsBeyond product innovation, I am deeply focused on customer retention and long-term platform relevance—leading initiatives that reduce migration friction, modernize legacy implementations, and improve developer and user experience. This includes guiding enterprises through transitions to cloud-native, containerized platforms while embedding AI capabilities directly into the lifecycle of process design and execution.With over 18 years of experience across product management and consulting, I bring a systems-level perspective to enterprise transformation—balancing innovation with scalability, and ambition with real-world constraints such as security, governance, and operational complexity.I am particularly interested in shaping a future where AI agents become first-class participants in enterprise ecosystems, fundamentally changing how software is built, consumed, and evolved.

Experience

1. Senior Product Manager

   IBM

   Jun 2023 — Present · Bengaluru, IN

   Own product strategy and roadmap for IBM Business Automation Workflow (BAW), driving AI-led transformation of enterprise workflows* Leading adoption of agentic AI patterns, enabling intelligent, autonomous process execution* Designing MCP-compatible architectures to expose workflows, APIs, and enterprise data as context-aware tools for LLMs* Building a natural language interface for workflow creation, monitoring, and optimization* Driving customer retention initiatives through platform modernization, improved usability, and AI-assisted development* Enabling enterprises to transition toward containerized, cloud-native automation platforms (CP4BA)* Partnering with clients to identify process inefficiencies and introduce AI-driven optimization strategies* Bridging the gap between LLM capabilities and enterprise constraints (security, scalability, governance)

Education

• Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

  Bachelor of Engineering, Computational Science

• Harvard Business School

  Disruptive Strategy

  2020 — 2020

• Harvard Business School

  Disruptive Strategy

• Amity University

  Post Graduation Program, Product Management

  2020 — 2021

• Amity University

  Postgraduate Degree, Operations Management and Supervision

• West Bengal University of Technology, Kolkata

  Bachelor of Engineering (BEng), Computer Science

  2003 — 2007

Skills

• Quality Assurance
• Service Delivery
• Business Analysis
• Team Management
• Management
• Networking
• Microsoft Sql Server
• Requirements Analysis
• Pre-Sales
• Servers
• Itil
• Troubleshooting
• Windows
• IT Service Management
• Vendor Management
• Operating Systems
• Active Directory