Bloom-aligned objectives

• Understand: GenAI capability boundaries and enterprise value levers
• Analyze: which work types are suitable for GenAI augmentation vs automation
• Evaluate: when outputs require verification and human approval

Topics

• What leaders need to know about GenAI (capabilities, limits, reliability, data dependencies)
• Enterprise value levers
  • productivity acceleration (drafting, synthesis, analytics assistance)
  • decision support (summaries, scenario framing) with verification expectations
  • standardization (templates, playbooks, quality rubrics)
• “Failure modes” leaders must plan for
  • hallucinations and overconfidence
  • weak grounding (no trusted enterprise sources)
  • sensitive data leakage through misuse or poor controls

Activity (45 min): “Value map for my function”

Participants identify:

• top 5 recurring knowledge-work activities
• cost of delay / friction points
• where GenAI can reduce cycle time, reduce rework, or improve consistency

Micro-lab 1 (45 min): “Opportunity hypothesis one-pager”

For 2 shortlisted opportunities, create a one-page hypothesis:

• problem statement, users, workflow, expected value, success metrics, risks, and verification needs

Bloom-aligned objectives

• Apply: an adoption blueprint from pilots to scale
• Analyze: org readiness (data, process maturity, change capacity)
• Create: an operating model with roles, forums, and decision rights

Topics

• Adoption blueprint (leader view)
  • identify opportunities → prioritize → pilot → measure → industrialize → scale
  • investment alignment with business objectives and KPI ownership
• Operating model essentials
  • roles: executive sponsor, product owner, risk owner, data owner, model/service owner
  • decision forums: AI steering committee, risk review board, architecture review (lightweight for leadership)
• Enablement strategy
  • productivity layer (Copilots/assistants)
  • workflow automation layer (process + guardrails)
  • advanced solutions layer (when custom build is justified)

Lab 2A (60 min): “Portfolio scoring clinic”

Use a scoring model to prioritize 8–10 candidate use cases by:

• value (time saved, quality uplift, revenue protection)
• feasibility (data readiness, process clarity, change impact)
• risk (sensitivity, decision criticality, regulatory exposure)

Deliverable: ranked list + top 3 pilots with rationale.

Lab 2B (45 min): “Adoption scorecard”

Define a measurable adoption scorecard:

• value KPIs, risk KPIs, adoption KPIs, and control KPIs (audit/assurance)

Bloom-aligned objectives

• Understand: governance building blocks for GenAI
• Apply: governance to a pilot portfolio
• Create: a practical governance blueprint that leaders can sponsor

Topics

• Governance model aligned to NIST AI RMF “Govern/Map/Measure/Manage” thinking (leadership translation)
• ISO/IEC 42001 view: management-system approach (policy, roles, continuous improvement)
• Policy components leaders must approve
  • acceptable use and data handling (what must not be shared)
  • human approval thresholds (draft vs send/execute)
  • documentation and traceability expectations for decisions
• Responsible AI principles into practice

Workshop (75 min): “Governance blueprint v1”

Create a draft blueprint:

• roles and accountability
• intake and approval workflow
• control checklist (privacy, IP, security, quality)
• exception handling and incident escalation

Bloom-aligned objectives

• Analyze: GenAI risks across the lifecycle (design → deployment → use → monitoring)
• Evaluate: risk tolerance and controls for different use-case classes
• Create: a risk register and control plan for pilots

Topics

• Risk categories leaders must own
  • privacy/PII and confidential data exposure
  • IP and copyright risk
  • bias and harmful outputs
  • model error/hallucination risk in decision-critical contexts
• Security threats leaders must recognize (executive-level)
  • prompt injection and sensitive information disclosure (OWASP Top 10 for LLM Apps)
• Compliance readiness overview
  • EU AI Act risk-based framing and transparency obligations (what it implies for organizations operating in the EU)
  • Practical alignment to NIST AI RMF and ISO/IEC 42001 for auditability

Lab 4A (75 min): “Risk register for top 2 pilots”

For each pilot:

• list top risks, likelihood/impact, controls, residual risk, owner, and review cadence

Lab 4B (45 min): “Assurance checklist”

Build an executive assurance checklist:

• pre-pilot gates, go-live gates, and ongoing monitoring gates

Bloom-aligned objectives

• Apply: guardrails proportionate to risk and business criticality
• Analyze: oversharing and permission issues in enterprise assistants
• Create: a leader-approved “safe GenAI operating standard”

Topics

• Practical control patterns (leader-friendly)
  • “draft, don’t send” defaults for external communications
  • verification steps for factual claims and KPIs
  • redaction/anonymization rules for sensitive inputs
  • least-privilege access and role-based entitlements
• Integrating Responsible AI expectations into rollout (principles → operational controls)
• Control ownership model: who signs off (business, risk, IT, legal) and when

Workshop (75 min): “Safe GenAI Standard v1”

Produce a concise standard with:

• do/don’t rules
• approval thresholds
• validation requirements by use-case tier
• incident reporting and escalation path

Bloom-aligned objectives

• Create: a 90-day plan to move from pilots to scale
• Evaluate: ROI measurement and adoption barriers
• Synthesize: a board-ready narrative and decisions required

Topics

• Scaling mechanics
  • champion network, training enablement, workflow embedding
  • procurement and vendor governance (what leaders must demand)
• Measurement
  • value realization methods (time saved, quality uplift, risk reduction)
  • adoption leading indicators (active usage, reuse of templates, cycle-time reduction)
• Executive narrative
  • what you will scale, why it matters, what risks remain, and how they are controlled

Final simulation (90 min): “Board-ready GenAI adoption pack”

Teams deliver a concise pack:

• prioritized pilot portfolio (top 3)
• governance blueprint (roles + gates)
• risk register + control plan
• 90-day execution plan with KPIs and decision checkpoints