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Duration 7 hours
Course Outline
Discovery Before Development
- Understanding why most AI projects fail at the scoping stage
- Viewing discovery as a core engineering function
- Establishing time limits and clear exit criteria for discovery phases
Workflow Analysis
- Observing operations in their actual working environment
- Mapping processes, handoffs, and exception handling paths
- Conducting interviews with users, managers, and control functions
Use Case Qualification
- Applying filters for feasibility, value, and operational readiness
- Evaluating a full portfolio rather than isolated ideas
- Using evidence to justify the rejection of unsuitable use cases
Value Architecture and Business Case
- Defining baselines, benefits, and cost-to-serve models
- Selecting metrics that satisfy finance and audit requirements
- Managing risk, compliance, and dependency registers
Commitments, Governance, and Handover
- Defining scope statements, key assumptions, and exclusions
- Implementing stage gates and kill criteria
- Creating a handover brief for the development team
Requirements
- Professional experience in a client-facing technical or delivery capacity
- Working knowledge of business processes within at least one industry
- Proficiency in basic spreadsheet and documentation tools for modelling and reporting
Target Audience
- Forward-deployed engineers and solution consultants
- Presales engineers and solution architects
- Product owners and delivery leads managing AI projects
- Transformation leaders evaluating AI portfolios
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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