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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.
Investment

Price per private group, online live training, starting from 1600 € + VAT*

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