Data library
Workflow data for AI.
Quick answer
Workflow data records how real work gets done inside a company: the task, the information available at the time, the actions people took in their tools, the decisions they made, the exceptions they handled, the feedback they received and the final outcome. AI developers use enterprise workflow datasets to train and evaluate AI agents and systems that perform multi-step work. It is often more valuable than documents alone because it connects how work should be done with how it was actually done.
What's included
- Support case: request → ticket → knowledge search → agent actions → escalation → resolution → QA score
- Sales deal: lead research → outreach → calls → proposal → negotiation → won/lost
- Engineering change: issue → code review → tests → deployment → incident follow-up
- Finance close: transaction → categorization → reconciliation → approval → exception handling
- Recruiting: job requirement → sourcing → screening → interview evaluation → placement
Where it typically lives
How AI developers use it
- AI agent training
- Tool-use training
- Model evaluation
- Post-training
- Real-world task environments
- Reinforcement-learning environments
- Workflow reasoning
Preparation and privacy
- Link records across systems into complete task trajectories
- De-identify people, customers and accounts
- Keep timestamps, statuses and outcomes intact
- Confirm rights to every underlying system's data
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
- What is enterprise workflow data?
- Connected records showing how a business task moved from input to outcome — including context, actions, decisions and feedback.
- Is workflow data the same as process documentation?
- No. Documentation describes how work should be done; workflow data shows how it was actually done, many times over, with outcomes.
- Does every workflow dataset support every AI use case?
- No. Buyer requirements determine how data is prepared and which uses it supports.
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See if your company qualifies
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