Strategy first. Then AI.

Day 1: Expand the horizon

• +Megatrend mapping across technology, regulation, and capital flows
• +Four Futures scenario planning for your specific sector
• +Three Horizons framework applied to your portfolio
• +Competitive landscape: AI-native entrants and incumbents
• +Leadership alignment on the 36-month opportunity window

Day 2: Lock the direction

• +Three layers of AI: automation, augmentation, and autonomous agents
• +Effort-impact mapping across your current operations
• +90-day pilot priorities ranked and assigned
• +Internal sponsor identified and accountabilities set
• +Strategic AI direction signed before the room clears

Audit

• +Current process inventory across all major functions
• +Data infrastructure and quality assessment
• +Existing tool stack: what is live, what is idle
• +Workforce readiness by cohort and role
• +Governance and risk exposure mapping

Readiness

• +AI readiness score across five dimensions
• +Priority use-case shortlist with effort and value ratings
• +Dependency and blocker analysis per use case
• +Vendor and build-versus-buy recommendation
• +Baseline metrics for adoption tracking

Roadmap

• +12-month implementation roadmap with quarterly milestones
• +Resource and budget guidance per initiative
• +Internal capability gaps and hiring or upskilling plan
• +Governance structure for ongoing AI oversight
• +Handoff package to internal sponsor and leadership

Week 1

Foundations

• +Core AI concepts without jargon
• +Personal AI audit: where you already use it
• +Tool orientation: ChatGPT, Claude, Gemini
• +Prompt fundamentals and first live outputs
• +Peer sharing and benchmark setting

Week 2

Apply to Your Work

• +Map your top three repeating tasks to AI workflows
• +Build first drafts, summaries, and briefs with AI
• +Document creation and editing practice
• +Email and communication workflows
• +Weekly reflection and peer review

Week 3

Track-Based Practice

• +Leadership track: strategic synthesis and decision briefs
• +Manager track: reporting, delegation, and project updates
• +Specialist track: research, analysis, and production tasks
• +Cross-track showcase session
• +Blocker identification and live coaching

Week 4

Governance & Real Work

• +AI governance policy for your team
• +Data privacy and acceptable use frameworks
• +Real project sprint with AI integration
• +Quality review of AI outputs in live work
• +Supervisor feedback loop established

Week 5

Cascade & Independence

• +Each participant identifies two colleagues to train
• +Cascade session design and facilitation practice
• +Personal AI workflow documented and shared
• +Team AI charter signed
• +Programme close and next-90-day commitments

Leadership Fluency

• +Prompt independently for strategic synthesis
• +Commission AI-assisted reports and decision briefs
• +Set governance expectations for their team
• +Model AI behaviour in leadership communications
• +Review AI output critically before using or sharing

Manager Fluency

• +Run daily workflows with AI assistance
• +Delegate AI-enhanced tasks to their team
• +Build standard operating prompts for recurring work
• +Track and report on team AI adoption
• +Identify and escalate governance issues

Workforce Cascade

• +Each manager trains two or more colleagues
• +AI becomes embedded in team meeting rhythms
• +Shared prompt library built and maintained
• +Adoption metrics tracked at department level
• +Internal AI champion identified and supported

Process Automation

End-to-end workflow automation for repeating operational tasks. Reporting pipelines, document generation, approval routing, and compliance checks running without manual intervention.

Client-Facing AI Agents

Conversational agents trained on your products, policies, and processes. Deployed on your channels. Handling tier-one queries at scale so your teams handle what matters.

Data Portfolio Intelligence

AI that reads across your data portfolio and surfaces what your leadership needs, when they need it. Dashboards, anomaly alerts, and synthesis reports built for decision-making, not data entry.

Internal Productivity Tools

Custom tools for your most friction-heavy internal workflows. Knowledge bases, meeting summaries, project trackers, and HR processes rebuilt around AI assistance.