Illustrative scenario

Pay Equity Analysis That Moves at the Speed Your Legal Team Needs

For a Chief People Officer and General Counsel at a public company, pay equity isn't a nice-to-have initiative — it's a legal, reputational, and fiduciary obligation. The problem is that the analytical workflow sitting between your comp data and a defensible remediation plan is slow, expensive, and opaque when run through outside counsel or traditional consulting.

Up and running in ~8 wkFor: Chief People Officer & General Counsel, public company
Estimate your payback
~4 mo
Payback period
$520K
Est. savings / year
+$360K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Where the Current Workflow Breaks Down

Pay equity analysis done rigorously requires OLS regression modeling that controls for legitimate pay factors — job level, tenure, performance rating, geography — before any gap can be characterized as statistically significant. Getting that right typically means engaging a specialized compensation consulting firm or economics expert, waiting weeks for deliverables, and then doing another round of back-and-forth to translate the findings into a remediation budget that the CHRO and legal team can defend. The underlying data lives in your HRIS and comp-team Excel models. The methodology exists in Syndio, Trusaic, or prior audit-log exports. But assembling those into a repeatable, defensible workflow isn't something most internal teams have capacity to run on-demand.

How an AI Agent Reconstructs and Executes the Analysis

An AI Labor Company agent mines your comp team's Excel model revision histories and pay-equity platform audit-log exports to reconstruct the exact regression specification your organization has used previously. It then runs OLS models controlling for your approved legitimate pay factors, flags statistically significant gaps by EEOC category, and drafts remediation cost estimates for each gap cohort. Both the CPO and GC review and approve the remediation plan before any salary adjustments are processed in payroll. The agent handles 55–75% of the analytical and documentation work that previously required external specialists.

Risk Avoidance with a Revenue-Protection Frame

This engagement is primarily about risk — but the risk is material. OFCCP audits, shareholder litigation, and state-level pay transparency laws have made unexplained compensation gaps an active liability for public companies. A defensible, well-documented analysis that you can run on a recurring cadence rather than episodically changes your legal posture significantly. The engagement is typically live and producing analysis in about eight weeks, which matters when you're responding to an audit timeline or an upcoming proxy season. The cost of the engagement is modest relative to the remediation costs — and even more modest relative to the litigation exposure it helps contain.

Questions

Who approves the remediation plan before salaries are adjusted?

Both the CPO and General Counsel approve the remediation plan output before any adjustments are sent to payroll processing. The agent generates the analysis and drafts the plan; final authorization stays with your executive and legal team.

Can this be run on a recurring basis — say, annually before proxy season?

Yes. Because the agent reconstructs and stores your regression specification, re-running the analysis on updated comp data is significantly faster than the initial engagement — making an annual or semi-annual cadence practical.

Does this replace Syndio or Trusaic?

No. The agent works alongside your existing pay-equity platforms, mining their audit-log exports as input data and using them as a reference for your approved methodology rather than replacing them.

Related use cases

Illustrative scenario for hr, recruiting & people ops. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

Want this running in your business?

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