AI readiness
How ready is your organisation, really?
Twenty questions across ten dimensions. The result is a structured view of where capability, governance and value are missing — and a common language for the executive conversation that follows.
01 · Strategy
We have an approved enterprise AI strategy linked to business objectives.
02 · Strategy
AI investments are prioritised against a ranked value case.
03 · Leadership
Executive leadership actively sponsors and steers AI work.
04 · Leadership
Accountability for AI outcomes sits with a named executive.
05 · Data
Critical data is accessible, governed and of known quality.
06 · Data
Enterprise knowledge is retrievable rather than trapped in documents and people.
07 · Technology
We have a defined enterprise AI architecture and integration approach.
08 · Technology
We can deploy AI workloads across cloud, on-premise or edge as required.
09 · Processes
We redesign processes rather than automating existing steps.
10 · Processes
Process performance is instrumented and measurable.
11 · People
Employees have the AI literacy required for their roles.
12 · People
We have a workforce plan for how roles change with AI.
13 · Governance
AI policies, risk classification and approval processes are in place.
14 · Governance
We maintain an inventory of models and agents in use.
15 · Security
Sensitive data is protected in all AI interactions and prompts.
16 · Security
Data residency and sovereignty requirements are explicitly managed.
17 · AI Adoption
AI capability is used in production, not only in pilots.
18 · AI Adoption
Adoption is measured and actively managed.
19 · Organisational Readiness
Change management capability exists to absorb AI-driven change.
20 · Organisational Readiness
We measure whether AI investment produces realised value.
AI Transformation Value Calculator
Model the indicative scale of the opportunity.
Indicative model output
Estimated AI opportunity value
R 23 416 200
These figures are indicative estimates generated from a simplified model. They are not forecasts, guarantees or commitments. Actual value depends on process design, data quality, adoption, governance and implementation choices, and should be validated through a detailed assessment.
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