Run Daily Operations Without Manual Bottlenecks

Traditional RPA follows rigid scripts and breaks when something unexpected happens. Autonomous Operations uses AI reasoning so it handles exceptions, interprets unstructured data like PDF invoices or emails, and makes judgment calls — without requiring pre-programmed rules for every scenario.

You set approval thresholds per workflow step. Actions below your confidence threshold automatically pause and route to a designated approver. You can also run workflows in shadow mode first — the AI processes everything but takes no action — so you review outputs before going fully autonomous.

Any workflow where humans currently read data, make a judgment, and take an action: invoice reconciliation and payment approval, customer onboarding verification, contract clause extraction, compliance document processing, support ticket triage and escalation, and inventory replenishment triggers.

No. Workflows are defined using a visual builder for non-technical users. Our implementation team sets up the initial workflows during onboarding, and most teams manage and create new workflows without engineering support within a few weeks.

Each step has configurable retry logic and failure handling. If a step fails after retries, the workflow pauses and sends an alert with full context. The system maintains a complete transaction log so any workflow can be resumed, restarted from a specific step, or rolled back.

Yes. Beyond 50+ native connectors, we provide a webhook framework and REST API connector builder. Your internal systems only need to expose an API endpoint — no agent installation required on your servers.