Data library
Task execution histories for AI.
Quick answer
Task execution histories record individual pieces of work from start to finish: what task was assigned, the starting context, the tools available, the sequence of actions, intermediate decisions, corrections, manager or QA feedback, the completion state and the business outcome. They give AI developers concrete examples of how skilled people complete real tasks, which is useful for training and evaluating systems that act rather than just answer.
What's included
- Assigned task and starting context
- Tools available and used
- Sequence of actions and intermediate decisions
- Corrections and manager or QA feedback
- Completion state and business outcome
Where it typically lives
JiraServiceNowZendeskSalesforceAsanaInternal software
How AI developers use it
- Agentic AI
- Tool-use training
- Expert evaluation datasets
- Enterprise simulations
Preparation and privacy
- Preserve step order and timestamps
- Remove personal and client identifiers
- Label outcomes consistently
- Exclude credentials and secrets
How SourceX approaches it
Preparation requirements are agreed with you before any work begins, and the approved dataset is delivered only after an executed agreement and your explicit authorization of buyer access.
Industries with this data
Frequently asked questions
- Which industries have task execution histories?
- Any business with ticketing, case, work-order or project systems — e.g. contact centers (case handling), healthcare administration (prior authorizations), accounting (reconciliations), logistics (dispatch exceptions).
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See if your company qualifies
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