RPA handles
the straight line.
Your operations are not straight.
- RPA bots execute defined scripts against predictable inputs. When a field is missing, a screen layout changes, or a response arrives in an unexpected format, the script fails and routes to a human exception queue.
- Enterprise operations are defined by the exceptions — the unsigned form, the payer rejection, the document that hasn't arrived, the callback that never came. These are not edge cases. They are the majority of the operational workload.
- RPA implementations require continuous maintenance as source systems change. Every UI update, every workflow modification, every new exception pattern requires a bot update. The maintenance overhead often exceeds the automation benefit within 18 months.
What AI agents handle
that RPA routes to humans.
| Breakpoint | What RPA Does | What PLRX AI Agents Do Instead |
|---|---|---|
| Unsigned form | Script detects missing signature, routes to exception queue. Staff contacts the party, waits for signature, manually resubmits. | Agent identifies the missing signature, routes an e-signature request to the correct party, tracks receipt, and resubmits automatically. |
| Rejection with reason code | Script fails on unexpected response. Rejection enters denial queue. Biller reads code, corrects, resubmits manually. | Agent reads the rejection code, determines corrective action, applies correction for standard types, and resubmits same-day. |
| Document not arrived | Script cannot proceed without the document. Workflow halts. Staff monitors and follows up manually. | Agent issues a structured request, tracks receipt on a defined cadence, escalates when threshold is reached, and resumes the workflow when the document arrives. |
| Multi-week wait state | Bot either polls continuously (resource consumption) or times out and loses workflow state. Manual restart required. | Durable suspension: workflow pauses without consuming resources, resumes with full context when the trigger arrives — no restart, no state loss. |
| UI or API change | Bot breaks. Requires developer to update the script before automation resumes. Average fix time: 1–5 days. | Goal-directed execution adapts to interface changes within defined authority. No script maintenance cycle. |
RPA's human-in-the-loop model is implicit — the bot routes to a human when it fails. PLRX's human-in-the-loop model is explicit — the agent routes to a human when the workflow reaches a decision that falls outside defined resolution authority. These are structurally different.
PLRX answer: the boundary is defined in the workflow configuration and enforced by the platform. You specify the conditions under which the agent escalates — cost thresholds, exception types, regulatory requirements, risk levels. The agent cannot exceed that boundary at runtime. Everything within it resolves autonomously.
Every agent action is logged in a WORM audit trail — what the agent did, why, and when. The escalations are logged with the same completeness as the autonomous resolutions. If a compliance audit asks what the agent did versus what a human did on a specific workflow, the record answers both questions.
RPA automates the straight line. Your operations are defined by everything that isn't.
PLRX Enterprise AI Agents handle the exceptions that RPA routes to humans — unsigned forms, rejection codes, missing documents, week-long wait states — autonomously, with a complete audit trail, at $0.99 per settled mission.