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The Agent Ledger

Real, measured AI agent outcomes.

A running record of what teams are actually getting from AI agents in regulated and high-stakes workflows: the numbers, by industry, with sources. No hype, no vaporware.

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Healthcare & Life Sciences2026-08-05

Prior Authorization Is a Numbers Game. Here's What Automation Is Actually Scoring.

96% first-pass approval rate across 200,000+ annual prior auths (Allegheny Health Network)

Four healthcare organizations, four measurable results. What the prior auth automation numbers actually say about where the workflow breaks.

Healthcare & Life Sciences2026-08-01

What AI Triage Is Actually Doing to Radiology Workflows

80% efficiency improvement for CT scans at Northwestern Medicine

Northwestern Medicine, a tertiary hospital, and peer-reviewed data show what AI triage delivers in production. The numbers are specific.

Healthcare & Life Sciences2026-07-27

What AI Agents Are Actually Doing in Hospital Revenue Cycle

$21M in error-related rework eliminated at HCA Healthcare in year one

HCA saved $21M in error rework. Banner freed 30+ hours a week. Here's what governed automation looks like in RCM.

Healthcare & Life Sciences2026-07-21

Drug Discovery Is Running a New Clock

Phase I in 12 months vs. the typical 4-5 years

Sumitomo hit Phase I in 12 months. Insilico spent under $2.6M to reach Phase II. The timelines are real. Here's what the numbers actually show.

Healthcare & Life Sciences2026-07-17

Sepsis Prediction AI: Three Health Systems, Three Measured Outcomes

27% reduction in sepsis deaths at Duke Health

UC San Diego, Johns Hopkins, and Duke each cut sepsis mortality with AI early-warning systems. Here are the actual numbers.

Healthcare & Life Sciences2026-07-14

15,791 Hours Back: What Ambient AI Scribes Are Actually Delivering in Hospitals

15,791 physician hours saved in 63 weeks (Kaiser Permanente)

Kaiser, Cleveland Clinic, and others have published real numbers on ambient AI scribes. Here's what the data shows, and what it means for governance.