Article
Why “IG Before AI” Is Becoming a Challenging Requirement
Organizations want AI to deliver value, but unreliable, unmanaged, and unclassified data increases risk. Dark data and weak retention practices undermine trust. Strong information lifecycle governance must come before AI.
March 3, 2026
Why “IG Before AI” Is Becoming a Challenging Requirement
Organizations are eager to apply AI to their data, but AI is only as reliable as the information it learns from.
Unmanaged, poorly classified data doesn’t just limit AI’s value, it increases its risk.
The dark data problem
Dark data includes information that is:
- unknown
- unmanaged
- unclassified
- or no longer needed but still retained
This data inflates risk, complicates discovery, and undermines trust in results.
Information lifecycle governance as the foundation
Before AI can deliver reliable insights, organizations need:
- clear classification standards
- defensible retention practices
- consistent legal hold processes
- confidence in data readiness
This is why many organizations are realizing that information governance must come before AI, not after.
Take the next step
Book a Consultation - AI depends on trustworthy information. Book a consultation to assess what’s putting you at risk (dark data, retention gaps, classification drift) and where to start.
We’ll help prioritize governance moves that reduce risk and improve confidence in analytics and AI outcomes.