interactor-workflows

Automate human-in-the-loop approval workflows by modeling processes as state machines with defined states, transitions, and halting points where user input is collected before resuming. This reduces manual handoffs and errors across enterprise onboarding and order processing pipelines.

Define a state machine workflow by setting an initial_state, adding action, halting, and terminal states as needed, then starting an instance and resuming halted steps with user input. JSONata conditions evaluate transitions between these states.

Handle document review and escalation pipelines using state-machine driven automation with built-in human-in-the-loop approvals and feedback loops. This approach models multi-step processes with immutable input and mutable runtime data separation.

You do not need external frameworks to manage workflow state transitions, only the Interactor platform. It requires familiarity with states, transitions, halting states, and data manipulation using input, data, and JSONata-based conditions.

You can separate immutable input from mutable runtime data in automated workflows using the Interactor platform. This separation allows HTTP actions and evaluation via JSONata conditions while processing human-in-the-loop feedback.

A state machine handles human feedback loops in order processing by halting at designated states to await user input. Once the user provides feedback, the workflow resumes and manipulates runtime data to continue the process.