PLRX

All Verticals · Workflow Automation vs Autonomous Operations

Workflow automation routes
tasks to people.
Agents complete them.

ServiceNow and Salesforce workflow automation are excellent at routing tasks, managing queues, and coordinating internal approvals. They stop at the edge of your organisation — when the workflow requires action in a payer portal, a broker-dealer platform, or a supplier system, a human takes over.
Routing a task to a person is not resolving it. Every task that enters a queue is a decision that hasn't been made, a document that hasn't arrived, a response that hasn't been sent. The queue is the problem, not the solution.
The gap between workflow automation and autonomous operations is where your operations team lives — absorbing every task the platform routed to them, across every external system that the automation cannot enter.

94% autonomous resolutionFrom $0.99 per missionEnterprise Agentic

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See the gap closed.

Tell us which workflow automation your team has outgrown. Proof of concept in 2–3 weeks — production in 12 weeks.

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Where Workflow Automation Ends and Autonomous Operations Begin

Workflow Automation

When a task requires external action

Routes to a human. The workflow automation creates a task for a staff member to log into the external system and take the action.

When a response hasn't arrived

Task ages in queue. The automation waits for a human to follow up, confirm receipt, or escalate the pending item.

When an exception arrives

Routes to a senior person. Non-standard responses leave the automation path and enter manual handling — often with the most senior operations staff.

What it costs

Seat-based platform cost plus operations headcount to execute every task the automation routes. Cost scales with queue volume and complexity.

Outcome: tasks routed faster · Operations team still executes · Queue volume unchanged

PLRX Enterprise AI Agents

When a task requires external action

Agent takes the action. Logs into the external system, completes the task, and updates the workflow — without creating a task in anyone's queue.

When a response hasn't arrived

Agent follows up automatically. Monitors for the response, issues reminders on a defined cadence, escalates when the threshold is reached.

When an exception arrives

Agent resolves or escalates with context. Handles exceptions within defined authority. Surfaces only genuine decision points to the appropriate person.

What it costs

$0.99 per settled mission. Zero for missions that fail. The infrastructure, the agents, and the execution layer — included.

Outcome: 94% of missions resolved without human involvement · Queue eliminated for automated mission types

The Execution Gap — What Workflow Automation Routes and Agents Resolve

What agents resolve
that workflow automation routes.

Task Type	What Workflow Automation Does	What PLRX AI Agents Do Instead
Payer portal follow-up	Creates a task for a prior auth specialist to log in and check the payer portal. Task ages in queue until staff has capacity.	Agent monitors payer portal continuously. Acts on responses within the hour. No task created, no queue entry, no staff involvement for standard response types.
Document collection	Creates a task for staff to contact the provider and request the missing document. Follow-up is manual.	Agent issues structured requests, tracks receipt, issues reminders, and resumes the workflow when the document arrives — without staff involvement.
Third-party verification	Creates a task for a processor to initiate the verification order and monitor for completion.	Agent initiates verification orders, monitors for completion, flags delays that affect the closing timeline, and updates the workflow when results arrive.
Exception routing	Routes exceptions to a senior queue with a description of the issue. Senior staff work the exception from scratch.	Agent surfaces exceptions with full context — what has already been done, what the specific issue is, and a recommended action. Senior staff review a diagnosis, not a raw exception.
Status inquiry response	Creates a task for staff to look up the status and respond to the inquiry.	Agent handles standard status inquiries directly — with real-time workflow state. Staff receive only inquiries requiring clinical, legal, or policy judgment.

All Verticals · The Compliance Question That Stops Deployments

Does the agent's data train the underlying model?

Workflow automation platforms have established data residency and security profiles. When evaluating a transition to autonomous operations, legal and compliance will ask: where does our operational data go, and is it used to improve someone else's system?

PLRX answer: no. Customer data is never used to train models. Each deployment runs in a sovereign tenant environment — no shared runtime, no shared data plane. The models used for reasoning and document processing are commercially licensed with explicit contractual commitments that customer data does not enter training pipelines.

The commercial structure reinforces this: PLRX charges per settled mission, not per token or compute hour. There is no incentive to over-process customer data. The pricing is aligned with resolution outcomes, not data consumption.