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AI Readiness

Strategy. Data Foundation. Organizational Readiness.

Assess your organizational readiness to implement AI based on the comprehensive JKG Advisory framework. Five domains, ten questions. After completing the self-assessment you will receive a report with recommendations. Ready to discuss them with you.

AI Readiness Self-Assessment

  • Data & Infrastructure
  • Strategy & Leadership
  • Governance & Ethics
  • Talent & Culture
  • Tech & Tools
  • Contact information
  • Complete

How is the quality and standardization of your core business data managed?

Data is heavily siloed, unstructured, and often requires manual cleaning before any analysis.
Data is standardized within individual departments, but enterprise-wide hygiene remains inconsistent.
Core data is standardized, clean, and actively monitored for quality across the enterprise.
Data hygiene is fully automated, continuously validated, and optimized for real-time machine learning.

How is your organization's data infrastructure architected to support AI?

Data resides in fragmented, legacy on-premise systems with no central accessibility.
We are migrating to the cloud, but data remains in disconnected lakes or warehouses.
We have a unified, API-driven data architecture providing seamless access to approved models.
Data architecture is fully federated, supporting real-time edge computing and decentralized AI access.