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 Implementation
- Why most AI initiatives fail during scoping
- Treating discovery as an engineering discipline
- Establishing time boundaries and exit criteria for discovery
Interpreting Workflows
- Observing work in its actual operational context
- Process mapping, handoffs, and exception handling
- Conducting interviews with users, managers, and control functions
Validating Use Cases
- Applying filters for feasibility, value, and readiness
- Scoring a portfolio of ideas rather than a single concept
- Declining use cases with supporting evidence
Value Architecture and Business Case
- Establishing baselines, benefits, and cost-to-serve
- Defining metrics acceptable to finance and audit
- Maintaining registers for risk, compliance, and dependencies
Commitments, Gates, and Transition
- Defining scope statements, assumptions, and exclusions
- Setting stage gates and termination criteria
- Preparing a handover brief for the build team
Requirements
- Background in a client-facing technical or delivery capacity
- Understanding of business processes within at least one sector
- Fundamental skills in spreadsheets and documentation for modelling and reporting
Target Audience
- Forward deployed engineers and solution consultants
- Presales and solution architects
- Product owners and delivery leads on AI projects
- Transformation leads evaluating AI portfolios