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Introducing Token ROI™

AI Performance Is Only Part of the Equation

Token ROI™ is AureusIQ’s framework for evaluating the operational economics of AI-enabled healthcare workflows, including inference costs, workflow orchestration, human oversight, and downstream rework.

Token ROI framework visualization showing AI performance, inference costs, workflow orchestration, human oversight, and downstream rework

Throughput Gains Do Not Necessarily Equal Operational Savings

Traditional AI Evaluation Often Focuses On

Model benchmark performance
Generalized productivity claims
Task-level automation
Accuracy and throughput metrics

Real-World Healthcare AI Workflows Also Involve

Human oversight and escalation
Workflow orchestration complexity
Retrieval infrastructure and context management
Iterative prompting and refinement
Validation and downstream rework
AI economics are workflow economics.

Evaluating AI-Enabled Healthcare Workflows as Operational Systems

Token ROI™ models the operational-economic components surrounding AI deployment.

AI Inference

  • Token consumption
  • Context windows
  • Model utilization

Workflow Orchestration

  • Routing logic
  • Retrieval infrastructure
  • System integration

Human Oversight

  • Medical review
  • Evidence validation
  • Compliance workflows

Downstream Rework

  • Correction cycles
  • Escalation burden
  • Revision management

Download the Token ROI™ Framework White Paper

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