SkillCloud's HR consultants were capped at roughly 10 clients each, losing hours every week to repetitive benefits, leave, and payroll questions. RTS Labs designed a secure, source-cited AI assistant with strict per-client data isolation, letting consultants handle 3x the clients with 40% faster, more consistent answers.
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SkillCloud Consulting Group sells managed HR expertise, but its growth was bottlenecked by the very people delivering it. Each consultant could realistically manage only about 10 clients, because so much of every week went to answering the same routine questions about benefits, leave policies, payroll, and observed holidays, pulled by hand from client handbooks and SHRM guidance.
That ceiling capped revenue at roughly $250,000 per consultant and meant the only path to growth was hiring more headcount. Worse, because answers were assembled manually from different sources, responses varied from consultant to consultant, creating a compliance risk across a portfolio of clients with different policies.
SkillCloud wanted to roughly double each consultant’s capacity without sacrificing accuracy or the strict separation between one client’s data and another’s.
Time-intensive, manual HR Q&A capped each consultant at roughly 10 clients, making headcount the only lever for growth.
With capacity capped at ~10 clients, revenue topped out near $250k per consultant, with no way to scale without hiring.
Answers were assembled by hand from handbooks and SHRM guidance, so responses varied by consultant, a compliance risk at scale.
RTS Labs designed a secure, web-based AI assistant that answers HR questions instantly from each client’s own documents. The system runs retrieval-augmented generation over both client-specific handbooks and global HR reference material (such as SHRM guidance), returning answers with the exact source excerpts that back them. Strict client-level data segregation keeps every client’s information sandboxed, so a consultant managing many accounts never sees one client’s data bleed into another’s. Questions the assistant can’t confidently answer are routed to a human consultant, and a built-in feedback loop captures signal for continuous tuning.
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