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As Global Capability Centers (GCCs) evolve from cost-arbitrage hubs into strategic innovation and transformation engines, the role of CIOs and enterprise leaders is being fundamentally redefined by Artificial Intelligence (AI). AI is no longer just a technology initiative it is a core driver of enterprise agility, intelligent operations, customer-centricity, and competitive advantage. For GCC leaders, understanding how AI integrates with enterprise operating models, digital governance, talent transformation, and business strategy is essential to creating future-ready organizations.
This certification course is designed to equip CIOs, GCC executives, and enterprise transformation leaders with practical insights into leveraging AI across operating models, decision-making frameworks, automation ecosystems, and value creation strategies, enabling them to lead confidently in the era of intelligent enterprises.
Contents:
Day 1 — Strategy, Platform Model, and AI Operating Backbone
Module 1: Why GCCs and CIO Offices Are Central to AI Scale
· GCC evolution from execution hub to AI innovation engine
· CIO office as AI portfolio and control nerve center
· Why AI operating models fail when ownership is fragmented
Module 2: Enterprise AI Strategy and Portfolio Design
· AI strategy linked to business value, not experimentation
· Use-case portfolio segmentation
· Enterprise prioritization by feasibility, risk, and value
· Build vs buy vs partner decisions
Module 3: AI Operating Model Design
· Centralized, federated, and hybrid AI operating models
· AI CoE, platform team, and domain pod structures
· Product ownership, governance ownership, and delivery ownership
· Decision rights across HQ, GCC, and business units
Module 4: The Enterprise AI Platform Stack
· Model layer strategy
· Data layer strategy
· Vector, retrieval, and knowledge systems
· Guardrails, orchestration, and observability
· LLMOps, MLOps, and platform engineering convergence
Module 5: Data and Knowledge Readiness
· Data quality, metadata, lineage, and access controls
· RAG readiness and enterprise knowledge fragmentation
· Structured vs unstructured data strategy
· Knowledge governance for copilots and agents
Day 2 — Delivery Model, FinOps, Governance, and Value Realization
Module 6: GCC Delivery Patterns for AI
· Shared services vs product-aligned AI teams
· Reusable components and internal AI platforms
· Capability building across engineering, risk, legal, and operations
· Global delivery coordination and localization
Module 7: CIO Playbook for Production AI
· Pilot-to-production failure patterns
· Vendor concentration risk and multi-model strategy
· Architecture review, control gates, and release discipline
· SLA, reliability, fallback, and support model design
Module 8: AI FinOps and Unit Economics
· Cost drivers for LLMs, retrieval, agents, and evaluation
· Cost governance and budget guardrails
· Measuring ROI, productivity, and business outcomes
· Chargeback/showback approaches for enterprise AI
Module 9: Workforce and Change Management
· Workforce redesign and role evolution
· AI literacy by executive, manager, engineer, analyst, and control-function layers
· Human-AI collaboration patterns
· Skills roadmap for GCC talent systems
Module 10: Transformation Workshop
· Design an enterprise AI operating model
· Define the GCC role in AI scale-up
· Create a platform and governance blueprint
· Build a 12-month roadmap for CIO/GCC execution
Speaker Profile: Rammohan Thirupasur is a highly accomplished Technology Leader with over 28 years of IT experience, including 17+ years in leadership roles spanning Hybrid Cloud, AI Security and Managed Services across the EMEA and APAC regions. As a former Associate Director at IBM/Kyndryl, he led global teams of 100+ professionals, earning recognition as a top-rated people manager for his ability to inspire, mentor and drive results.
A renowned technology trainer and coach, Rammohan specializes in Gen AI, ISO 42001, DORA, AI GRC, EU AI Act, ICS/OT Security and Hybrid Multi-Cloud, simplifying complex concepts to empower businesses and professionals in adopting cutting-edge innovations. As a keynote speaker and technology blogger, he leverages Design Thinking and Case-Study methodologies to deliver engaging, hands-on training. With expertise in large-scale ERP implementations for Fortune 1000clients, he is a trusted advisor on Gen AI, AI Security and IT Governance (ISO 42001& 27001) makes him a sought-after expert for organizations navigating digital transformation.
Rammohan is a trusted technology advisor for startups worldwide, helping emerging Gen AI companies shape their strategies and scale innovation. As a member of multiple advisory boards, he plays a pivotal role in driving AI adoption and security best practices across industries
