Leadership wants to roll out an AI assistant over internal data. Nobody has actually verified whether that data is complete, current, consistently defined, or safe to expose to a model in the first place. 

How we approach it: audit the data the assistant will draw on, define access and governance boundaries, and fix the critical gaps before go-live — not after the first embarrassing wrong answer. What it enables: a rollout that survives contact with real usage, instead of a demo everyone quietly stops using. 

  • Category:
    MARKETING
  • Client:
    Egens Lab
  • Location:
    7 Lake Street, London
  • Industry:
    IT & Consulting
  • Stack:
    Android, Realm, Dagger 2, Java
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