AI Strategy for Leaders
Executive and transformation leaders
Format
One working day plus interviews
Organisational work product
AI decision frame, ranked opportunity portfolio and 90-day agenda
Applied enterprise training
Build durable judgment.
Private programmes built around a real decision. Each one leaves a practical tool the team can keep using.
- 01Sponsor interviews
- 02Capability baseline
- 03Working sessions
- 04Applied deliverable
- 05Leadership review
- 0630/60/90-day transfer
Capability diagnostic
The Experiatech 5D AI Strategy Framework
Participants assess one real decision, identify the capability gaps and define the practical work needed to close them.
Explore the framework →- 01
Strategy
Very high coefficient
Frames opportunity, total cost, data representativeness and risk transfer before technology selection.
Can the organisation explain when AI should not be used?
- 02
Specification / Prompting
Low coefficient
Expresses intent through instructions, tools and evaluation criteria, but depreciates as interfaces improve.
Would the capability survive a change of model or interface?
- 03
Integration & Ecosystem
High coefficient
Connects governed data, identity, semantic context, production workflows and observable operations.
Can the system trace its sources, controls and downstream effects?
- 04
Critical Judgment
Very high coefficient
Tests truth through verification, confidence, known failure modes, escalation and reproducible evidence.
Can a domain expert challenge and reproduce the result?
- 05
Systemic Vision
System-level coefficient
Redesigns the value chain through governed feedback, better knowledge and clear limits on algorithmic management.
Does the operating model learn without dissolving human authority?
Private enterprise programmes
Six programmes tied to real work.
AI Governance Operating Model
Risk, legal, data, security, audit and delivery leaders
Format
Two working days
Organisational work product
Risk tiers, decision rights, intake flow, control ownership and governance charter
Enterprise Architecture for Decisions
Architects and technology leaders
Format
Two working days
Organisational work product
Capability map, principles, decision-record practice, target-state slice and transition roadmap
Knowledge Architecture for AI
Data, knowledge, architecture and AI teams
Format
Two working days
Organisational work product
Knowledge-source inventory, semantic model, retrieval pattern, provenance requirements and quality controls
Azure AI Architecture
Cloud, platform, security and AI engineers
Format
Two working days
Organisational work product
Reference architecture, identity and data-boundary map, evaluation flow and operational checklist
Snowflake Governance and FinOps
Platform owners, data engineering, governance and FinOps
Format
Two working days
Organisational work product
Role model, credit allocation model, workload policies, monitoring queries and improvement backlog
Transfer to work
The work continues after the session.
- 01Sponsor interviews
- 02Capability baseline
- 03Working sessions
- 04Applied deliverable
Built from the organisation’s real decision context.
- 05Leadership review
- 0630/60/90-day transfer
Self-paced certification preparation
Certification preparation, separately.
Public courses will appear here once enrolment links are verified.
Build the capability your decision requires.
Tell us the decision, the constraint and the timeframe. We will recommend a focused next step—or say when we are not the right fit.