1. Home
  2. Assessments
  3. AI Readiness Assessment

Assessment

Determine Whether Your Organization Is Ready for AI Before Buying AI

AI readiness assessment covering data quality, security, governance, infrastructure, use cases, risk, workflows, and operating controls.

Assess AI Readiness View Related Context

Evidence Pathway

What the assessment must prove

Provide a controlled AI adoption entry point that separates realistic AI opportunities from data, governance, security, and operational constraints.

Data foundation
Governance
Infrastructure

Assessment Scope

Evidence areas to inspect

Provide a controlled AI adoption entry point that separates realistic AI opportunities from data, governance, security, and operational constraints.

Assessment Scope Evidence areas to inspect
  1. 01 Data quality Sources, quality, access, lineage, retention
  2. 02 Security Approved use cases, data classes, review controls
  3. 03 Governance Cloud, private inference, integration, monitoring
  4. 04 Infrastructure Tasks, approvals, measurable outcomes, failure handling
  5. 05 Use cases Sources, quality, access, lineage, retention
  6. 06 Risk Approved use cases, data classes, review controls

Risk Matrix

How findings become priorities

How findings become priorities
Architecture ElementWhat HRHK EvaluatesPublication Value
Data foundationSources, quality, access, lineage, retentionDetermines whether AI can be grounded reliably
GovernanceApproved use cases, data classes, review controlsLimits uncontrolled adoption
InfrastructureCloud, private inference, integration, monitoringMatches AI patterns to operating reality
Workflow valueTasks, approvals, measurable outcomes, failure handlingFocuses AI on practical business use

Assess AI Readiness

Start with the environment, failure mode, or decision that needs evidence. HRHK can convert assessment findings into ranked risks, architecture actions, and implementation sequencing.

Start a Technical Conversation Explore Services