AI Workflow Engine
A research concept for routing operational work with more context and less manual triage.
Project Direction
The AI Workflow Engine explores how structured operations can use assisted decisioning without losing human control. The concept is focused on routing work, summarizing context, suggesting next actions, and highlighting exceptions that deserve attention.
The system is designed as a supervised workflow layer. It can recommend, prepare, classify, or prioritize, while administrators define rules, approval thresholds, and manual review points.
Research Questions
- How can workflow history improve routing without making the process opaque?
- Which decisions should remain human-approved even when automation is available?
- How should teams audit AI-assisted recommendations after the fact?
- What interface patterns make confidence, source data, and suggested actions clear?
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