Course Objective & Scope
Unlike single-use-case data checks, an enterprise AI Readiness Assessment evaluates the organisation's holistic capacity to deliver and scale AI safely and repeatedly. This course teaches teams how to diagnose institutional strengths and structural bottlenecks across six foundational dimensions.
Participants score strategy and leadership alignment, data architecture and accessibility, cloud/model/integration platforms, talent and AI literacy, procurement and delivery agility, and governance and security using structured maturity rubrics. In a workshop tailored to the organisation, teams map their current baseline and construct a 90- and 180-day readiness action plan.
Who Should Attend?
- Digital transformation, strategy and corporate development leaders
- IT, data, enterprise architecture and information security managers
- HR, learning and development, and organisational design leads
- Executives and AI CoE teams launching an enterprise AI programme
Key Takeaways
- Score organisational AI maturity across six dimensions using evidence-based rubrics
- Surface maturity gaps across departments and shared infrastructure bottlenecks
- Align capability building directly with the needs of the target use case portfolio
- Prioritise foundational enablers across data, platforms, governance and skills
- Deliver an executive AI readiness report and phased capability roadmap
Curriculum
The Enterprise AI Readiness Framework and Six Maturity Pillars
- Strategy, data, technology, people/culture, operating model and governance pillars
- Maturity tiers from Ad-hoc and Experimental to Standardised and Scaled
- Connecting enterprise readiness to use-case-level execution
Assessing Data and Technology Platform Maturity
- Data cataloguing, quality, stewardship and unstructured document readiness
- LLM API gateways, enterprise RAG/search infrastructure, guardrails and LLMOps tooling
- Evaluating approved tool ecosystems versus Shadow AI exposure
Organisation, Talent and Procurement Agility
- Centralised, hub-and-spoke and decentralised AI operating models
- Role-based AI literacy levels and technical delivery capacity
- Speed of vendor onboarding, legal review and security clearance processes
Gap Analysis and Alignment with the Use Case Portfolio
- Identifying the minimum readiness required to deliver Wave 1 use cases
- Building foundational capabilities iteratively alongside early projects
Executive Readiness Report and 90/180-Day Action Plan
- Visualising current versus target maturity with radar scorecards
- Sequencing capability-building actions with clear owners and milestones
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