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Governed Workflow Automation API Use Case

Applications need machine-readable outputs that can move through access controls, review policies, usage limits, audit views, and user interfaces.

AvelinLabs provides structured API outputs that a product can route through its own permissions, review rules, and usage policies. Runtime API keys authenticate product calls; contract allow-lists and quotas govern access, but they do not replace the customer’s approval policy.

Automation is downstream of an interpretable API result. Job-intelligence routes expose confidence, uncertainty, quality, ambiguity, and decision labels. Market routes expose scoped observations. Grounded reports expose evidence and trace references. Applications remain responsible for choosing which of those endpoint-specific fields control display, clarification, review, or a stop.

One bounded integration pattern is:

  1. authenticate one supported request with a Runtime API Key;
  2. validate the response shape and retain its request_id where returned;
  3. apply product-specific thresholds to fields defined by that endpoint;
  4. route REVIEW, AMBIGUOUS, weak-signal, or other low-support outcomes to a person;
  5. log the application action without storing credentials or sensitive raw payloads.

Depending on the endpoint, routing inputs include:

  • structured inference or market responses
  • confidence and uncertainty fields
  • decision labels
  • error and request-correlation context
  • signals that determine whether to automate or review

This use case can support review queues, low-risk enrichment, display defaults, clarification requests, and customer-facing decision workflows. It does not authorize final hiring automation or imply that every endpoint returns confidence, evidence, and decision labels.

Start with the API overview, Decision Scoring, and the official executable examples. Keep thresholds and approval rules in your product rather than duplicating Avelin’s response schema.