Event-Driven Document Workflows
The document arrives, an event fires, the process wakes — architecture that reacts instead of polling.
Event-driven document workflows are processing architectures that react to occurrences rather than run on schedules: a document's arrival emits an event; the classification service consumes it and emits "classified"; extraction consumes that; "extraction complete" wakes validation; "review resolved" resumes the case that was waiting on a human. Each step subscribes to what it cares about and publishes what it produces, with queues and event buses carrying the flow — the alternative to both batch schedules (documents waiting for the nightly run) and monolithic pipelines (one service owning every step in lockstep).
The architectural benefits map well onto document processing's realities. Elasticity: intake volume is spiky (month-end floods, campaign surges), and queue-buffered consumers scale independently — ten extraction workers at peak, one at midnight — while the queue absorbs what momentarily exceeds capacity. Resilience: a failing step's events wait rather than vanish; retry and dead-letter semantics give every document a fate (processed, retried, or parked with a reason) instead of a silent loss. Composability: new consumers attach without touching producers — the fraud-scoring service subscribing to "extraction complete" alongside the existing flow, shadow-mode models consuming real traffic harmlessly. And long-lived waits come naturally: the case paused for a customer's missing document holds no resources — it simply resumes when the arrival event fires, days later.
The disciplines are the event-architecture classics with document flavor: idempotent consumers (the same document event delivered twice must not double-post the invoice), ordering awareness where sequence matters (the amendment processed before its base contract corrupts state), event schemas versioned like the APIs they are, and end-to-end observability — correlation IDs threading each document's events into a coherent trace, because a workflow distributed across a dozen services still owes the auditor a single, ordered story of what happened to this file.
The document's journey, engineered — every step from arrival to archive orchestrated instead of carried.
Every channel, one front door — email, scan, upload, API, fax — normalized into a stream the system can process.
The architecture for moments that can't wait — capture, read, and respond while the user is still there.
Proof Perimeter runs document AI inside your own perimeter — with a provenance record on every field.
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