LeadershipStrategy
Direction and alignment
Executive priorities, decision criteria, sponsorship, strategic clarity, and the organization’s definition of value.
AI Readiness Assessment
A decision-ready baseline for what your organization should do next.
RUDI examines how prepared your organization is to adopt AI across leadership, people, workflows, technology, data, culture, and governance—then turns the findings into priorities.
What it examines
Readiness across the whole organization.
The scope is tailored to the organization. The assessment is designed to expose relationships among strategy, people, work, systems, and governance—not evaluate each in isolation.
PeopleCulture
Capability and change
Current use, confidence, role needs, trust, incentives, champions, learning capacity, and adoption barriers.
WorkflowsUse cases
Work and opportunity
High-friction work, repeatable tasks, judgment points, handoffs, constraints, and candidate opportunities.
TechnologyData
Systems and access
Current tools, approved access, integration needs, data sensitivity, information quality, and technical feasibility.
GovernanceRisk
Responsible use
Policies, privacy, human oversight, verification, vendor decisions, accountability, and escalation paths.
Operating model
Capacity to execute
Ownership, resourcing, project discipline, internal communication, measurement, and the ability to sustain change.
How it works
Evidence in. Decisions out.
The assessment is not an off-the-shelf survey score. RUDI combines multiple forms of evidence and interprets them in the context of the organization.
Scope
Clarify the decisions the assessment needs to support, the stakeholders involved, and the organizational boundaries.
Listen
Gather leadership perspectives, employee input, existing policies, technology context, and evidence of current use.
Observe
Examine representative jobs and workflows to identify friction, opportunity, dependencies, and human judgment.
Synthesize
Connect findings across readiness dimensions and distinguish immediate needs from longer-term capability building.
Prioritize
Deliver leadership findings, recommended priorities, candidate pilots, governance needs, and a sequenced roadmap.
What you receive
Outputs designed for leadership action.
Current-state baseline
A clear synthesis of strengths, gaps, patterns, and inconsistencies across the organization.
Readiness findings
An evidence-based view of what will accelerate, constrain, or complicate AI adoption.
Priority portfolio
Recommended areas for strategy, enablement, workflow design, governance, and implementation.
Action roadmap
A sequenced plan that distinguishes immediate moves, enabling conditions, pilots, and longer-term capability.
What happens next
The assessment is a beginning, not a report that sits on a shelf.
Strategy
Align leadership around value, priorities, principles, and a realistic portfolio of initiatives.
Explore AI StrategyEnablement and adoption
Build role-specific capability, governance, champions, workflow support, and the conditions for sustained behavior change.
Explore AI EnablementImplementation
Move validated use cases into pilots or production with appropriate technical and organizational support.
Explore AI ImplementationFind out whether a readiness assessment fits your organization.
Tell us what is driving the conversation, what decisions leadership faces, and what AI activity is already underway.