Agent StoreHuman ResourcesCompensation Analysis
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Compensation Benchmarking Agent

Human ResourcesCompensation Analysis

Compares internal role compensation against market survey data by geography and industry, flagging roles that fall outside competitive pay bands.

4
Process steps
5
Integrations
2
Data inputs

Compensation teams typically refresh market benchmarking data annually through a manual, spreadsheet-heavy process, which means pay bands can drift out of sync with fast-moving market rates for competitive roles like engineering or data science

Without ongoing monitoring, companies risk losing talent to better-paying competitors or overpaying in markets where rates have softened

The agent continuously ingests market compensation survey data segmented by role, geography, and industry, and compares it against current internal pay bands and individual employee compensation

It flags roles or specific employees falling outside the target competitive percentile, giving compensation teams an ongoing, data-driven view instead of a once-a-year snapshot

The agent ingests compensation survey data from connected market data providers and normalizes it by role level, geography, and industry segment using a standardized job architecture mapping. It compares this market data against current internal pay bands and individual employee salaries pulled from the HRIS, calculating each role and employee's position relative to target market percentiles. Roles or individuals falling outside defined thresholds are flagged with a recommended pay band adjustment, compiled into a report for compensation committee review.

1

Ingest Market Data

  • Pull compensation survey data from connected providers
  • Normalize data by role level, geography, and industry
  • Map internal job architecture to survey benchmark roles
  • Refresh data on a defined recurring schedule
Outcome: Current, normalized market compensation data is available for comparison.
2

Compare Against Internal Pay

  • Pull current internal pay bands and employee salaries
  • Calculate each role's position relative to target market percentile
  • Identify individual employees below or above target range
  • Segment findings by department and location
Outcome: Internal compensation is benchmarked against current market position.
3

Flag Outliers

  • Identify roles falling below the target competitive percentile
  • Flag high-risk retention cases among below-market employees
  • Identify roles significantly above market for cost review
  • Prioritize flags by business criticality of the role
Outcome: Compensation outliers are surfaced with clear prioritization for review.
4

Recommend Adjustments

  • Generate recommended pay band adjustments per role
  • Calculate budget impact of proposed adjustments
  • Compile findings into a compensation committee report
  • Track adjustment decisions for the next review cycle
Outcome: Compensation leaders receive actionable, budget-quantified recommendations.
Radford or Mercer
Sources market compensation survey data
Workday or ADP
Pulls internal pay bands and employee salary records
Tableau or Looker
Visualizes benchmarking gaps and trends
Excel or Google Sheets
Exports detailed role-by-role comparison data
HRIS
Cross-references role level and job architecture mapping