GenAI Transformation

GenAI Transformation

Empower leaders and managers to co-create an AI-enabled organization guided by purpose, trust, and strategic vision.

One day

In an era where Generative AI isn’t just a tool but a workforce game-changer, leaders must transcend mere adoption to craft a future where AI augments human ingenuity. This intensive one-day course equips executives, managers, and IT leaders with transformative strategies—spanning strategic vision, human-centered design, IT integration, governance, and culture change—to not just implement AI, but to embed it meaningfully into operations and support ecosystems.

Anchored in deep industry insight and real-world applicability, this course delivers actionable frameworks to inspire confidence, drive adoption, and ensure Generative AI becomes a business enabler—not a liability.

Learning Outcomes

Participants completing this course will be able to:

• Articulate a clear, purpose-driven AI “North Star” aligned with business vision and IT support realities.
• Design and lead a strategic roadmap that integrates leadership priorities with IT managers, support teams, and infrastructure workflows.
• Leverage AI for support operations—automating incident detection, ticket triage, and infrastructure/application management.
• Anticipate challenges and risks including resistance, technical debt, and governance gaps.
• Drive change through people-first transformation, enabling experimentation, upskilling, and IT–business collaboration.
• Apply practical prompting techniques to unlock AI’s full value in real support and managerial scenarios.

Prerequisites

• A basic understanding of AI / GenAI—what it does and its business potential.
• Representation from leadership, IT managers, support teams, and change agents for a holistic perspective.
• Access to organizational strategy documentation, IT service management practices, and data governance policies.
• Commitment to experimentation, open culture, and willingness to iterate.

Detailed Course Outline

• Framing the Transformation
  • 1.1 Why GenAI? Purpose beyond hype
    • The imperative: Why ask “why?” before adopting AI.
    • Learn from real-world missteps (e.g., Commonwealth Bank’s AI misfire).
    • Why IT support is the frontline of adoption—linking vision to infrastructure and service delivery.
  • 1.2 Defining the “North Star” for GenAI
    • Outcome-focused vision over tool deployment.
    • Map organization maturity: manual → AI-augmented → agentic swarms.
    • Align IT operations, service desks, and business functions with the North Star.
• Strategic Roadmapping for Leaders, Managers & IT
  • 2.1 Building a GenAI Strategy Roadmap
    • Identify high-value IT and business use cases (support tickets, monitoring, capacity planning).
    • Move from pilots to scaled, IT-integrated workflows.
    • Adopt pillars: Vision, Values, Risks, IT adoption readiness.
  • 2.2 Leadership & IT Roles in Governance
    • Role of CAIO, CIO, and IT managers in oversight.
    • Responsible AI governance: ethics, policies, escalation paths.
    • IT change boards & oversight committees to manage risk, bias, and reliability.
• Reimagining Workflows & Operating Models
  • 3.1 Embedding GenAI into IT Operations
    • Service desk transformation: AI-driven incident detection, ticket auto-routing, resolution suggestions.
    • Infrastructure automation: self-healing systems, auto-scaling environments, config management.
    • Application lifecycle: code review, deployment automation, monitoring with AI agents.
  • 3.2 Workflow Evolution Phases
    • Phase 1: AI aids repetitive IT tasks (chatbots for ticket queries).
    • Phase 2: Human-AI teams co-manage systems and incidents.
    • Phase 3: Agentic swarms handle infrastructure and applications with human oversight.
• Building Trust: Data, Governance & Transparency
  • 4.1 Establishing Trust Infrastructure
    • Secure data ecosystems, ITSM logs, and monitoring pipelines.
    • Case study: Morgan Stanley’s rigorous evaluation leading to 98% adoption.
  • 4.2 Ethical, Transparent AI in IT Support
    • Responsible frameworks for IT automation and support.
    • Transparent AI for incident reports and post-mortems.
• People-Centered Change & Culture
  • 5.1 Reframing AI as Human Enabler
    • Position AI as a partner, not replacement, for IT support and managers.
    • Enhance empathy, creativity, and decision-making with AI assistance.
  • 5.2 Change Management Pillars
    • Leadership alignment, IT workforce readiness, transparent communication.
    • Apply ADKAR model to IT & business adoption.
    • Tactics for overcoming resistance and building trust.
  • 5.3 Skills & Engagement Tactics
    • Upskilling IT support staff in AI operations, prompting, and monitoring.
    • Build “AI Support Guilds” to foster peer-led innovation.
    • Case study: Singtel’s AI Academy training 10,000+ employees.
• Challenges, Iteration & Scaling
  • 6.1 Anticipating Challenges
    • Technical debt, data silos, lack of IT buy-in.
    • Reliability issues: model drift, hallucination, dependency on vendors.
    • Regulatory, audit, and compliance gaps.
  • 6.2 Agile Pilot Learning
    • Experimentation in IT workflows with tight feedback loops.
    • Celebrate early wins in support automation.
  • 6.3 Metrics, ROI & Long-Game Strategy
    • Measure incident resolution time, MTTR, infrastructure uptime, employee satisfaction.
    • Scale responsibly with IT–business alignment.
• Practical Prompting for Leaders & IT
  • 7.1 Prompting Essentials
    • Principles of effective prompting for executives and IT staff.
    • Use cases: drafting incident responses, generating RCA summaries, infrastructure config templates.
  • 7.2 From Basic to Advanced Prompts
    • Simple requests (ticket triage) → structured prompts (incident workflows) → chain-of-thought templates (root-cause analysis).
    • Hands-on demonstration: prompting to automate IT and support tasks.