PLRX

All Verticals · Agent-Building Platform vs Autonomous Operations

StackAI gives you
the tools to build agents.
PLRX runs your operations.

StackAI is a no-code platform for building AI agents — drag-and-drop workflows, 100+ integrations, visual governance. Your engineering or operations team constructs the agents, configures the workflows, and operates the deployment.
Building agents is not the same as having operations that run themselves. The StackAI customer owns the build effort, the maintenance overhead, and the gap between what the tool can do and what the operational workflow requires.
PLRX delivers both the execution platform and the specialist agent teams pre-built for specific operational verticals — prior auth, revenue cycle, claims processing, loan origination, supply chain. The buyer deploys a production-ready operation, not a development project.

94% autonomous resolutionFrom $0.99 per missionEnterprise Agentic

Book a Scoping Call

See pre-built operations.

Tell us which operational workflow you need running. Proof of concept in 2–3 weeks — production in 12 weeks.

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The Structural Difference

StackAI

Core product

Platform for building your own agents. Your team constructs, configures, and operates the agents using the no-code interface. The platform is the tool; your team is the operator.

Execution model

Session-based runs. Workflows execute when initiated and complete. Pricing is per run or per seat — regardless of whether the mission resolved successfully.

State persistence

Runs are discrete events. Workflow state exists during execution. A restart or timeout loses the workflow context. No equivalent to multi-week durable state.

Who operates the agents

Your team. StackAI provides the tools. Your engineering or operations team builds, configures, and maintains the agent workflows. Expertise and maintenance overhead stay in-house.

Build time: weeks to months depending on workflow complexity · Maintenance: ongoing as systems and workflows change · Cost: seat and run-based regardless of outcome

PLRX

Core product

Platform + pre-built specialist agents. PLRX delivers both the execution infrastructure and the agent teams pre-built for specific operational verticals. Your team deploys an outcome, not a project.

Execution model

Durable, continuous execution. Workflows persist across days and weeks. A mission that waits for an external response suspends durably and resumes automatically. Priced at $0.99 per settled mission only.

State persistence

Core architecture. Every workflow runs inside the PLRX Durable State Machine. State persists across restarts, failures, and week-long wait states. Deterministic replay on every recovery.

Who operates the agents

PLRX. Specialist agents are pre-built, pre-tested, and operated by PLRX against your production workflows. Your team governs the outcomes, not the agent infrastructure.

POC: 2–3 weeks against your real workflow · Production: 12 weeks · Cost: $0.99 per settled mission only

What You Build vs What You Deploy

What pre-built operations
delivers that building cannot.

Capability	With StackAI	With PLRX
Time to first production mission	Weeks to months: workflow design, agent configuration, integration, testing, validation. Depends on your team's availability and the complexity of the target workflow.	2–3 weeks to a proof of concept against your real workflow. 12 weeks to production. PLRX owns the build effort — your team evaluates the outcome.
Domain expertise in the agent	Your team builds in the domain expertise — payer-specific rules, regulatory requirements, exception patterns. Knowledge is only as deep as your team's operational experience.	Specialist agents arrive pre-built with the domain expertise the workflow requires — payer protocols, EDI specifications, denial pattern libraries, compliance requirements. Built from production experience, not configuration.
Ongoing maintenance	Your team maintains the agents as source systems change, payer rules update, and exception patterns evolve. Maintenance overhead compounds with each deployed workflow.	PLRX maintains the specialist agents against production operational realities. Payer rule changes, system updates, and new exception patterns are absorbed at the platform layer.
Governance and audit trail	ADLC governance provides environment separation, version control, and approval workflows. Audit logs cover agent configuration changes.	WORM audit trail on every agent action — what the agent read, decided, submitted, and received, timestamped and queryable. Compliance-grade record for regulated industry examination.
Commercial model alignment	Seat and run-based pricing. Cost accrues regardless of whether the deployed agents resolve the operational workflow successfully.	$0.99 per settled mission. Zero for missions that fail. The pricing is aligned with operational outcomes — PLRX has no incentive to deploy agents that don't resolve workflows.

All Verticals · The Compliance Question That Stops Deployments

Does the agent's data train the underlying model?

Before legal approves any AI platform running on regulated operational data, they ask whether that data improves models used for other customers. For platforms where the answer is ambiguous, that ambiguity is itself a compliance finding.

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 any training pipeline.

The commercial structure reinforces the commitment: PLRX charges per settled mission, not per token or compute cycle. There is no revenue incentive to process customer data beyond what the mission requires.