AT&TSample data
Sample data

Enterprise Command Center

AT&T workforce health at a glance — clinical, financial, and operational outcomes in one view. Use the workspace cards below to drill into any domain.

Key metrics

Sample data
Financial optimization
$40M vs $10M
Gross GLP-1 cost vs. modeled employer payment — Y1
Modeled
Healthcare expenditure
$18.4M
10-yr annual average
Modeled
Medical offset
$10.0M
10-yr annual average
Modeled
Workforce value
$17.0M
10-yr annual average
Modeled
12-month treatment retention
55%
Treatment retention at 12 months
Observed
Employer payment alignment
75%
75% lower modeled Year 1 payments vs. gross program cost
Modeled

Key insights

Workforce absence represents a measurable opportunity

AT&T's modeled annual absence-cost exposure is $111.49M, or approximately $1,115 per associate. PayRX evaluates the potential reduction attributable to participating employees, with realized savings dependent on enrollment, clinical outcomes, and workforce improvement. (Illustrative modeled exposure — not validated financial results.)

79% 6-month persistence exceeds benchmark

Of 1,678 started members, 1,326 remain active at 6 months. 1,009 show measurable clinical improvement.

10,000 days recovered in the current period

At 25% productivity reduction, 38 FTE-equivalent of lost time has been recovered through overtime and temp avoidance.

Pilot milestones

  • Pilot population defined
  • Enrollment targets set
  • Baseline metrics collected
  • Clinical program active
  • Manager data validation
  • 12-month outcomes review
View pilot details
·

All figures illustrative · synthetic data · not validated financial results

Employee Privacy Protected by Design

Employer reporting is designed to present aggregate workforce and health-program insights without exposing individual clinical records. Small-group reporting restrictions help reduce the risk of employee identification.

Sample dataPrivacy-restricted reporting

Aggregated information is not described as HIPAA-de-identified unless applicable de-identification requirements have been satisfied and verified.

Sample Data — Demonstration Only. Fictional data, not actual patient records or validated outcomes.