CFO · Financial Leadership · Autonomous Operations ROI

What autonomous operations
costs. What it replaces.
How to evaluate it.

Enterprise AI agents are priced differently from every other category of enterprise software — not per seat, not per token, not per hour of compute, but per settled mission. The commercial model is the clearest possible statement of what the vendor believes about operational reliability.
Evaluating the financial case for autonomous operations requires three numbers: what the current manual execution layer costs per workflow, what the autonomous layer costs per settled mission, and what the improvement in resolution rate is worth in revenue terms.
The comparison is not "AI agents vs. nothing." It is "AI agents vs. the current cost of operations staff, denial write-offs, rate lock extensions, expedite fees, and missed timely filing windows" — the measurable financial consequences of the manual execution layer.

94% autonomous resolutionFrom $0.99 per missionEnterprise Agentic

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Build the business case.

Tell us which operational workflow you want to model. We will walk through the unit economics in the scoping call. Proof of concept in 2–3 weeks — production in 12 weeks.

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The Commercial Model — How PLRX Pricing Works

Understanding the PLRX commercial model is the starting point for the financial analysis. It is structurally different from every other enterprise software category.

The Unit: A Settled Mission

One mission = one complete operational workflow resolved

A mission is a single end-to-end operational workflow — a prior authorization from submission to approval, a loan from application to funding, a claim from receipt to settlement. One price covers every agent action, every step, every retry, and every wait state in that mission. The mission either settles at the defined success state or it does not. If it does not, there is no charge.

The Price: From $0.99 Per Settled Mission

Fixed per-outcome pricing — regardless of complexity

From $0.99 per settled mission. The price does not change with the number of agents involved, the number of steps taken, the compute consumed, or the time elapsed. A prior auth that required one payer response costs $0.99. One that required four documentation cycles and three payer interactions costs $0.99. The pricing is on the outcome, not the effort.

The Guarantee: Zero Charge on Failure

Failed or cancelled missions are not billed

If a mission fails — payer denies without appeal basis, loan is declined, mission is cancelled — there is no charge. The pricing structure requires PLRX to believe that the agents will resolve the workflows they are deployed on. It is the commercial equivalent of a performance guarantee.

The Infrastructure: Zero Separate Cost

Platform, agents, and execution layer included

The $0.99 per mission price covers the execution platform, the specialist agents, the infrastructure, and the ongoing agent maintenance as operational requirements change. There are no seat fees, no platform access charges, and no separate infrastructure costs. The total cost is: settled missions × price per mission.

The Financial Model — Unit Economics by Vertical

What autonomous operations
replaces in financial terms.

Vertical	What the Mission Replaces	Financial Consequence of Manual Execution
Healthcare prior authorization	Staff cost to submit, monitor, document-chase, and resubmit prior auths. 3–5 touchpoints per authorization at 15–20 minutes each, across the prior auth team.	Delayed procedure dates, patient attrition from scheduling failures, staff cost per authorization cycle. At scale: measurable revenue per authorization day saved across the entire prior auth volume.
Revenue cycle denial management	RCM staff cost to work the denial queue: reading codes, correcting claims, assembling appeals. Plus write-offs on denials that age past timely filing windows.	Timely filing write-offs are permanent revenue losses. Each missed appeal window is a specific dollar amount. Denial queue backlog directly correlates to outstanding AR and days in AR metrics.
Commercial loan origination	Processor cost to track documents, follow up with borrowers and third parties, monitor commitment dates. Plus rate lock extension fees and re-underwriting costs from expired commitments.	Rate lock extensions: typically $500–$2,000 per extension per file. Re-underwriting from expired commitments: $800–$2,000 per file. Borrower attrition from slow cycle times: lost origination volume.
Insurance claims	Adjuster cost to coordinate assessors, collect documentation, communicate with policyholders, manage claim status. Plus revenue leakage from unidentified subrogation opportunities.	Adjuster handling cost per claim: $400–$800 for complex claims. Subrogation opportunities identified late or missed: direct revenue impact. Policyholders lost to competitors with faster claim resolution.
Supply chain operations	Procurement and logistics staff cost to monitor PO acknowledgements, track shipments, coordinate vendor onboarding, manage exceptions. Plus expedite fees and downstream disruption costs.	Expedite fees: $1,000–$10,000 per incident depending on shipment. Production disruption from late deliveries: variable but measurable. Vendor activation delays: lost purchasing flexibility and contingency capacity.

CFO · The Commercial Question That Frames Every Deployment Decision

Does the agent's data train the underlying model?

CFOs evaluating enterprise AI platforms for regulated operations need one financial and one legal answer before approving spend. The financial answer is in the pricing model. The legal answer is the data training question.

In regulated industries, operational data flowing into a third-party model training pipeline creates compliance exposure that the legal team will not approve — regardless of the business case. The question is binary: is it contractual, or is it policy?

PLRX answer: contractual. Customer data is never used to train models. Each deployment runs in a sovereign tenant environment. 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 model reinforces this: PLRX charges per settled mission, not per token or compute cycle. There is no commercial incentive to process customer data beyond what the mission requires. The pricing structure and the data commitment point in the same direction.