AI Readiness Assessment
Determine whether your organisation has the strategic, data, architectural and governance foundations to adopt AI responsibly.
Question 1 of 15
Does your organisation have clearly defined business outcomes it expects AI to improve?
Diagnostic Dimensions Evaluated
This diagnostic evaluates 15 critical factors across five distinct capability pillars, providing a holistic assessment of your organisation’s operating model:
Strategy & Value
Clarity of commercial outcomes, use-case prioritisation, and executive sponsorship.
Data & Knowledge
Accessibility, hygiene, permission boundaries, and knowledge grounding.
Technology & Integration
API capabilities, platform evaluation, and production reliability guardrails.
Governance & Risk
Responsible AI policies, privacy controls, bias/hallucination mitigation, and oversight.
People & Adoption
Workforce literacy, role impact understanding, change management, and business measurement.
Capability Maturity Tiers
Scores are mapped against a five-tier benchmark to provide clear contextual meaning and executive alignment:
Nascent capability characterized by ad-hoc decisions and immediate operational friction.
Emerging practices with isolated successes but inconsistent cross-functional execution.
Solid operational baselines with repeatable processes and emerging executive governance.
High capability maturity with disciplined architecture, strategic alignment, and proactive risk control.
Market-leading maturity with continuous improvement, automated guardrails, and predictive adaptability.
Translate Diagnostic Insights Into Delivery
Completing a self-assessment is the first step toward reducing delivery uncertainty, closing technical debt, and aligning architectural investment with commercial objectives.