Anand Krishnamurthy

About Anand Krishnamurthy

With over 24 years of experience, I serve as Delivery Partner at IBM, leading automation initiatives and AI-driven solutions across multiple business verticals. Managing a portfolio of over production bots, I oversee an $8 million annual budget while driving innovation through an AI-Ops Shared Services Model. My work ensures alignment with client objectives by optimizing deployment and scaling automation processes, particularly as Automation Lead for Unilever in the Indian market. My expertise spans digital transformation, program management, and strategic leadership, enabling the creation of delivery models that consistently generate substantial revenue growth. By fostering cross-functional collaboration and aligning IT roadmaps with emerging technologies, I help organizations achieve impactful business outcomes. Passionate about leveraging automation to enhance operational efficiency, I continue to focus on driving results through strategic initiatives in global service delivery.

Experience

1. Client Account Partner

   IBM

   Jul 2016 — Present · Bangalore, IN

   As the GCC Account Lead at IBM, I drive AI-led transformation aligned with the IBM Strategy, advancing productivity, client value, and scalable shared services. I oversee production bots through an AI-Ops Shared Services Model, integrating GenAI, Agentic AI, low-code/no-code, and RPA to deliver intelligent and autonomous operations across global business units.For the Unilever portfolio, I manage a $8–9M annual budget, delivering >20% YoY revenue growth and leading the discovery, build, and enhancement of 250+ automation processes annually. I guide the shift from traditional automation to AI-first delivery using GenAI copilots, cognitive decisioning, NLP, and conversational AI to modernize business operations and strengthen execution velocity.Across 160+ GBS accounts, I define AI-first automation roadmaps, enabling GCC teams to adopt Agentic AI systems that learn, reason, and optimize workflows autonomously. I lead the development of reusable AI accelerators, hybrid-cloud–aligned architectures, and governance models that scale automation across global delivery centers.Key Achievements: • Transitioned the automation ecosystem from RPA-centric to GenAI + Agentic AI–driven, improving adaptability and operational efficiency. • Scaled GCC automation capability from 5 to ~100 specialists, enabling faster delivery of AI-enabled automation outcomes. • Led a North America automation reinvention program using GenAI-driven discovery and autonomous process agents, delivering $6–7M annual savings. • Improved prioritization and throughput by 20% via AI-driven governance and AI-Ops practices. • Delivered AI-powered discovery-to-deployment programs using low-code/no-code and GenAI accelerators to reduce cycle times and accelerate adoption.

Education

• Computer Aalaya

  PG Diploma in Computer Applications, Data Modeling/Warehousing and Database Administration

• Purdue University

  Diploma of Education, Artificial Intelligence and Machine Learning Program

• Annamalai University

  Bachelor of Business Administration - BBA, Business Administration and Management, General

• University of Madras

  Master of Computer Applications , Computer Science