Course Objective & Scope
In many organisations AI ideas arrive as scattered requests, making it hard to tell which scenario will generate real business value, which can be solved with simple automation and which carries heavy data or compliance risk. This programme provides a structured methodology to filter business demands and turn them into a strategically aligned use case portfolio.
Value-chain scanning, problem–solution matching (classic ML, RAG, LLM, agents, rule-based automation) and multi-criteria scoring matrices are applied to the organisation's own processes. Participants leave with standardised use case cards and a balanced portfolio matrix tailored to their business.
Who Should Attend?
- Business unit heads and functional leaders
- Strategy, business development and digital transformation managers
- Product management, process excellence and innovation teams
- Business analysts and PMO leaders evaluating data and AI requests
Key Takeaways
- Systematically scan the value chain and customer journey for high-impact AI opportunities
- Distinguish whether a business problem fits classic analytics, RAG, LLMs or agent architectures
- Build a scoring matrix covering business value, data readiness, technical complexity and regulatory risk
- Balance quick wins against long-term strategic bets in a coherent portfolio
- Prepare standardised use case definition cards ready for executive sign-off
Curriculum
Discovering AI Opportunities Across the Value Chain
- Value pools in customer experience, operations, support functions and R&D
- Problem framing around bottlenecks, cost drivers and quality loss
- Reviewing sector reference use case libraries
Problem–Technology Matching: Which AI When?
- Separating prediction and optimisation (classic ML) from generative AI
- Enterprise knowledge access (RAG), content generation and multi-step agent scenarios
- Filtering out cases better solved by deterministic process automation
Use Case Definition Card and Data Pre-Check
- Target user, workflow change and expected impact hypothesis
- Data sources, accessibility, privacy and KVKK pre-checks
- Defining human-in-the-loop oversight requirements
Value, Feasibility and Risk Scoring Matrix
- Weighting financial and strategic value criteria
- Technical feasibility, integration effort and change difficulty
- Scoring hallucination, reputational, security and EU AI Act risk classes
Portfolio Balancing Workshop
- Plotting quick wins, foundational enablers and strategic bets on a 2x2 matrix
- Identifying shared data and platform components across scenarios
- Presenting and calibrating the organisation's prioritised use case portfolio
Other Courses in This Category
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For finance, strategy and business leaders: measuring financial and operational returns of AI investments, covering TCO, token and infrastructure costs, productivity-to-P&L conversion, baselines and an ROI business case template.
- Live Course
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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.
- Live Course
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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.
- Live Course
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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.
- Live Course
- 5 modules
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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.
- Live Course
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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.
- Live Course
- 5 modules
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