Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Vague promises such as "saving 30 minutes per employee per day" rarely convince finance or the board, while overly rigid early ROI hurdles can kill promising pilots. This course teaches leaders how to model both the costs and benefits of AI initiatives realistically and link them to staged funding decisions.

Total cost of ownership (TCO), hidden operational costs, leading and lagging KPIs, and baseline measurement via A/B testing are worked through on organisation-specific cases. Participants build a financial model and an investment-committee business case template for their own AI initiatives.

Who Should Attend?

  • CFO office, financial planning and analysis (FP&A) managers
  • Strategy, investment and portfolio management leaders
  • Business unit and product managers requesting budgets for AI projects
  • Digital transformation and PMO directors

Key Takeaways

  • Translate time savings, quality gains and revenue uplift into auditable financial metrics
  • Calculate full TCO including data preparation, token/inference, monitoring and change management
  • Build a KPI tree linking leading adoption indicators to lagging P&L outcomes
  • Define staged funding gate criteria across PoC, pilot and scale phases
  • Prepare an AI ROI business case with sensitivity analysis for the investment committee

Curriculum

Value Types and Common Pitfalls in AI Investments
  • Cost reduction, revenue growth, risk mitigation and strategic option value
  • The "time saved equals money saved" fallacy and capacity redeployment
  • Why traditional software ROI models fall short in AI
Leading and Lagging KPI Architecture
  • System and model metrics (accuracy, latency, hallucination rate)
  • Operational and adoption metrics (active usage, task completion time)
  • Financial and customer metrics (cost per transaction, conversion, error cost)
Total Cost of Ownership (TCO) and Hidden Costs
  • Data cleaning, integration, security and compliance costs
  • Token/API consumption, GPU infrastructure, evals and ongoing monitoring
  • Change management, training and human-in-the-loop review costs
Baseline Measurement and Impact Attribution
  • Capturing pre-project process metrics accurately
  • Control groups, A/B testing and phased rollouts for causal attribution
  • Sensitivity analysis across optimistic, base and conservative scenarios
Staged Funding and Business Case Workshop
  • Venture-style staged budget release across discovery, pilot and scale
  • Completing the ROI model for a selected project from the organisation
  • Investment committee simulation and financial challenge rehearsal

Other Courses in This Category

  • AI Build, Buy or Partner Decision Framework

    For executives, architects and procurement leaders: evaluating in-house build, SaaS buy and strategic partner options for AI solutions across competitive differentiation, TCO, speed to market and vendor lock-in.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    5 modules
    View
  • AI Roadmapping and Strategic Prioritisation

    For strategy, PMO and transformation leaders: turning a use case portfolio into an executable three-horizon (90-day, 6-month, 18-month) enterprise AI roadmap aligned with data, platform and organisational dependencies.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    4 modules
    View
  • Cloud LLM APIs vs. On-Premise Models: Cost, Risk and Regulation

    For IT, security, compliance and technology leaders: architectural, regulatory (KVKK, EU AI Act) and TCO trade-offs between cloud LLM APIs, managed enterprise cloud (Bedrock, Azure AI Foundry, Vertex AI) and self-hosted open-weight models.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    5 modules
    View
  • Executive AI Decision Workshop

    Intensive facilitated decision workshop for executive teams and steering committees to resolve concrete AI dilemmas (funding sign-off, architecture choice, vendor selection, risk boundaries) and produce documented decision records.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    4 modules
    View
  • AI FinOps: Token Economics, Budgeting and Unit Cost Management

    Practical AI FinOps training for technology, finance and product leaders covering token economics, cloud/GPU cost control, model routing, caching and unit economics across LLM, RAG and agent systems.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    5 modules
    View
  • AI Operating Model Design

    For senior leadership, transformation and org-design leaders: designing centralised, federated (hub-and-spoke) and decentralised AI operating models, decision rights (RACI), platform-to-business interaction and governance workflows.

    AI for Executives & Strategic Leadership Corporate
    Live Course
    5 modules
    View

Get in touch