Current-State AI Governance Baseline Assessment
Five dimensions, a score out of ten and immediate priority gaps. Request your report or discuss the findings after seeing your result.
Start governance assessmentAssessments & Tools
Assess comprehensively. Find what constrains progress.
Move beyond a single maturity score. Build a capability profile, compare current and target states, identify dependencies and prioritise the interventions that matter.
Enterprise AI Transformation Capability Assessment
A whole-of-enterprise capability assessment across strategy, operating model, business, information, architecture, engineering, governance, people, change and measurement.
Try the capability checkAI Transformation Bottleneck Assessment
Identify which capability or dependency is most likely to constrain sustainable AI transformation.
Register interestAI Use-Case Prioritisation
Compare opportunities using value, feasibility, information readiness, risk, architecture fit and change effort.
Register interestEnterprise AI Architecture Assessment
Assess target architecture, integration, information, platform, agent, security and governance capability.
Register interestCapability model
Whole-of-enterprise assessment.
The public self-check is deliberately lightweight. Executive and comprehensive assessments should add interviews, evidence review, architecture analysis and facilitated target-state decisions.
Strategy & Value
AI ambition, business outcomes, investment logic, use-case portfolio and benefits realisation.
Leadership & Operating Model
Ownership, decision rights, funding, accountability and enterprise operating model.
Business Capabilities & Processes
Capability change, process redesign, automation opportunities and human-AI work allocation.
Information, Knowledge & Data
Data quality, semantics, knowledge, metadata, context and information governance.
Enterprise & AI Architecture
Target architecture, integration, platforms, models, agents and interoperability.
AI Engineering & Delivery
Experimentation, evaluation, deployment, LLMOps/MLOps, agent engineering and monitoring.
Governance, Risk & Trust
Responsible AI, privacy, security, assurance, model and agent governance.
People, Skills & Culture
AI literacy, specialist capability, workforce redesign, leadership and adoption.
Transformation & Change
Portfolio management, roadmap, organisational change and implementation capability.
Measurement & Continuous Evolution
KPIs, value realisation, capability validation, feedback and continuous improvement.