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Duration 7 hours
Course Outline
Discovery Prior to Implementation
- Why scoping issues are a primary cause of AI deployment failure
- Treating discovery as a core engineering activity
- Establishing time limits and exit criteria for the discovery phase
Analyzing the Workflow
- Observing tasks in their actual operating environment
- Mapping processes, handoffs, and exception handling paths
- Conducting interviews with users, managers, and control functions
Evaluating Use Cases
- Applying filters for feasibility, value, and readiness
- Scoring a portfolio of ideas rather than a single solution
- Rejecting use cases based on factual evidence
Value Architecture and Business Justification
- Defining baselines, benefits, and cost-to-serve metrics
- Selecting metrics acceptable to finance and audit teams
- Maintaining a register of risks, compliance issues, and dependencies
Commitments, Milestones, and Handover
- Defining scope statements, assumptions, and exclusions
- Implementing stage gates and kill criteria
- Creating a handover brief for the development team
Requirements
- Practical experience in a customer-facing technical or delivery capacity
- A working understanding of business processes within at least one specific industry
- Proficiency in basic spreadsheet and document skills for modeling and documentation
Target Audience
- Forward deployed engineers and solution consultants
- Presales and solution architects
- Product owners and delivery leads involved in AI projects
- Transformation leads 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 1600 € + VAT*
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