Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
Discovery Prior to Development
- Why most AI projects fail during the scoping phase
- Viewing discovery as a core engineering activity
- Establishing time limits and exit criteria for discovery efforts
Analyzing Workflows
- Observing tasks in their actual operational context
- Documenting process maps, handovers, and exception handling paths
- Conducting interviews with end users, managers, and control functions
Evaluating Use Cases
- Applying feasibility, value, and readiness filters
- Assessing the portfolio holistically rather than focusing on isolated ideas
- Disqualifying use cases with supporting evidence
Value Architecture and Business Case Development
- Defining baselines, expected benefits, and cost-to-serve
- Selecting metrics accepted by finance and audit teams
- Maintaining a register of risks, compliance requirements, and dependencies
Commitments, Milestones, and Transition
- Defining scope statements, assumptions, and exclusions
- Implementing stage gates and termination criteria
- Preparing a handover brief for the development team
Requirements
- Practical experience in a customer-facing technical or delivery position
- Working knowledge of business processes in at least one specific industry
- Competence in basic spreadsheet and document creation for modelling and reporting
Target Audience
- Forward deployed engineers and solution consultants
- Presales and solution architects
- Product owners and delivery leads managing AI projects
- Transformation leads evaluating AI portfolios
