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Data for AI agents: why workflow data matters

By Noah Loul · Updated

Short answer

AI agents need examples of how tasks are completed across tools — clicks, decisions, handoffs and outcomes. Workflow data from real businesses shows these sequences and is hard to find publicly.

What counts#

Process logs, screen activity, ticket histories and SOPs.

Worker consent and masking are essential.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Talk to SourceX#

SourceX helps companies turn selected business records into licensed datasets for AI. We manage enterprise data licensing end to end: sourcing, qualification, rights review, contracts, preparation, delivery and payment. See if your company's data qualifies. No data is shared during the initial assessment.

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