Agentic Document Workflows

Agentic document workflows are business processes over documents where an AI agent performs the orchestration: sequencing steps, branching on content, handling exceptions, and deciding when to involve people. In a conventional workflow engine, a designer draws the flowchart in advance and every case follows it; in an agentic workflow, the flowchart is effectively generated at runtime — the agent inspects the case, plans the steps this particular document set needs, and adapts as results come in.

The difference shows most in the branches nobody drew. A customer's onboarding pack arrives with an expired ID: a static workflow dead-ends into a generic exception queue, while an agent recognizes the specific defect, sends a templated request for a current document, parks the case, and resumes when the replacement arrives. A claims file contains an invoice in a currency the pipeline has never seen; the agent finds the conversion step itself. This collapses the long tail of exception-handling paths that make traditional workflow projects expensive to build and brittle to maintain.

In practice, most organizations deploy a hybrid: deterministic rails for the regulated skeleton of the process — mandatory checks, approval gates, segregation of duties, deadlines — with agents given bounded autonomy inside stages, especially exception resolution. That structure preserves what compliance frameworks require (predictability and evidence at the control points) while capturing agentic flexibility where variability actually lives. Every agent decision is logged against the case, so the completed workflow reads as an auditable narrative: what arrived, what was done, by which model or person, and why.