Get in Touch
 Duration 7 hours

Course Outline

Discovery Before Development

  • Understanding why most AI deployments fail at the scoping stage
  • Approaching discovery as a core engineering activity
  • Establishing time-boxes and exit criteria for discovery phases

Analyzing Workflows

  • Observing work processes in their natural environment
  • Documenting process maps, handoffs, and exception paths
  • Conducting interviews with users, managers, and control functions

Evaluating Use Cases

  • Applying feasibility, value, and readiness filters
  • Scoring a portfolio of ideas rather than focusing on a single concept
  • Rejecting use cases with supporting evidence

Value Architecture and Business Cases

  • Defining baselines, benefits, and cost-to-serve models
  • Selecting metrics acceptable to finance and audit teams
  • Maintaining a register of risks, compliance issues, and dependencies

Commitments, Gates, and Handover

  • Defining scope statements, assumptions, and exclusions
  • Implementing stage gates and kill criteria
  • Preparing a handover brief for the build team

Requirements

  • Professional experience in a customer-facing technical or delivery capacity
  • Knowledge of business processes within at least one specific industry
  • Proficiency in basic spreadsheet and document tools for modeling and reporting

Target Audience

  • Forward deployed engineers and solution consultants
  • Presales and solution architects
  • Product owners and delivery leads managing AI initiatives
  • Transformation leads evaluating AI portfolios

Number of participants


Price per participant

Upcoming Courses

Related Categories