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 Before Development
- Why scoping is the primary cause of AI deployment failures
- Treating discovery as a core engineering activity
- Establishing time boxes and exit criteria for discovery phases
Analyzing the Workflow
- Observing work in its actual operational context
- Documenting process maps, handoffs, and exception paths
- Conducting interviews with users, managers, and control functions
Validating Use Cases
- Applying filters for feasibility, value, and readiness
- Evaluating a portfolio of options rather than a single idea
- Providing evidence-based justification for rejecting use cases
Value Architecture and Business Case
- Defining baselines, benefits, and cost to serve
- Selecting metrics acceptable to finance and audit teams
- Managing risk, compliance, and dependency registers
Commitments, Gates, and Transition
- Defining scope statements, assumptions, and exclusions
- Implementing stage gates and kill criteria
- Preparing handover briefs for the build team
Requirements
- Experience in a customer-facing technical or delivery role
- Familiarity with business processes in at least one industry
- Basic skills in spreadsheets and document creation for modeling and reporting
Audience
- Forward deployed engineers and solution consultants
- Presales and solution architects
- Product owners and delivery leads on AI engagements
- Transformation leads assessing an AI portfolio
