AI Strategy for Executive Teams
Executive and transformation leaders
Format
One working day plus interviews
Organisational work product
AI decision frame, ranked opportunity portfolio and 90-day agenda
Enterprise training
Build judgment that survives the next tool cycle.
Private programmes built around the decisions your leaders and teams must make. Each programme ends with an organisational work product—not training theatre.
- 01Sponsor interviews
- 02Capability baseline
- 03Working sessions
- 04Applied artifact
- 05Leadership review
- 0630/60/90-day transfer
Capability diagnostic
The Experiatech 5D AI Strategy Framework
Participants apply the five dimensions to one real organisational decision. They identify the lowest-coefficient skills receiving too much attention, the durable capabilities missing above the technical ceiling, and the work product required to close the gap.
Explore the complete 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, knowledge improvement and explicit boundaries for algorithmic management.
Does the operating model learn without dissolving human authority?
Private enterprise programmes
A catalogue organised around decisions and work products.
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 as a Decision System
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 Platform 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
A programme is not complete when the room empties.
- 01Sponsor interviews
- 02Capability baseline
- 03Working sessions
- 04Applied artifact
Built from the organisation’s real decision context.
- 05Leadership review
- 0630/60/90-day transfer
Self-paced certification preparation
A separate path—not a substitute for enterprise capability work.
Published certification-preparation courses will appear here once public enrolment links are verified. Private programmes above remain designed around your operating context.
Define the capability—not just the curriculum.
Describe the decision, platform or operating risk that is slowing you down. We will identify the evidence required and whether consulting, training or a scoped agent is the right response.