Zero defects. Stop revenue loss before it starts.

Hercules tracks ROI across three value pools corresponding each use case.

For Time Reconciliation, primary metrics are verification analyst productivity gains (benchmarked against a 60–75% reduction in manual reconciliation time) and unbilled hours recovered from late or missing timesheets. Finishing time reconciliation in a single day vs. multiple days also positively impacts DSO as the work-to-cash cycle length is shortened with faster payroll and billing.

For Billing Accuracy, the primary metrics are revenue leakage recovered (2–5% of annual revenue) with an explicit split of quantifying underbilling and overbilling, reduction in first-pass invoice dispute rate, and write-off rate compression.

For Cash Allocation, the primary metrics are DSO improvement (measured in days and converted to working capital released), cash application match rate, and dispute resolution cycle time. Most clients establish a baseline during the first billing cycle and measure continuously from there. 

Yes. Hercules works with both MSP providers managing supplier networks (such as Magnit) and staffing companies that participate in MSP programs and need to work with numerous VMS environments. MSP programs are one of Hercules' most validated deployment contexts; the platform handles multi-supplier invoice validation, VMS data reconciliation, and supplier rate compliance at scale. For staffing suppliers, Hercules resolves the operational burden of dual data entry, multi-system reconciliation, and complex client-specific billing rules across whichever VMS platforms their clients require.

ATS billing modules enforce the rules your team has manually configured, but those rules are based on conditional logic (if-then field matching) that can only handle simple, structured scenarios. Real staffing contracts contain nuanced, multi-variable terms: position-specific markups that vary by role type within the same client, tenure-based rate adjustments at hour thresholds, conversion fee schedules that decline on a sliding scale, entity hierarchies where a subsidiary falls under a parent's MSA. An ATS rule engine cannot read those contract provisions, cannot detect when an amendment changes a term that was never updated in the system, and cannot flag the interaction effects between multiple overlapping rules. Hercules uses LLMs to extract the full complexity of contract language into structured rules, then enforces those rules deterministically against every transaction. It is the verification layer between contract intent and system configuration — and that gap is where revenue leaks.

No. Hercules is a verification layer, not a system of record. It reads from and writes back to your existing platforms such as Bullhorn, SAP, Beeline, or any other system your team uses. Implementation is additive, not disruptive. Your team continues working in the tools they already know.

If you are managing complex contracts and billing at scale (typically $50M or more in annual revenue) the math works strongly in your favor. The more reliable indicator than revenue alone is complexity: firms managing hundreds of active contracts, multiple client-specific billing rules, and multi-system environments consistently see the strongest return. You can help you size the opportunity for your firm for each use case.