RPO (Recruitment Process Outsourcing)
Illustrative scenario

When Every Client Has a Different SLA Definition and Eight ATSs, Breach Is Almost Inevitable

Running an RPO program across 5 to 25 client accounts means living inside multiple ATSs with different SLA definitions for each, and relying on individual recruiter awareness to know when a req is approaching a breach. At 15% breach rate on time-to-fill commitments, that approach is generating contractual penalty exposure every month. An AI agent can track every req against the correct client-specific clock and alert delivery teams before the breach happens — not after.

Up and running in ~4 wkFor: RPO Program Director or VP Delivery
Estimate your payback
~3 mo
Payback period
$252K
Est. savings / year
+$185K
Year-1 net

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

Why 15% Breach Rate Is Structurally Hard to Fix Manually

An RPO delivery team managing Greenhouse, Workday, and iCIMS simultaneously — each with client-specific TTF definitions, different SLA start-clock triggers, and different escalation expectations — cannot maintain accurate breach-risk awareness through spreadsheets and Slack messages. The 15% TTF breach rate isn't a recruiter performance problem; it's a systems problem. With $12,000–$28,000 per month in delivery overhead and penalty exposure on top, the manual approach costs more than just the labor to run it.

One Agent Tracking Every Req Against the Right Clock

An AI Labor Company agent mines client SLA definition documents and historical requisition activity logs from Greenhouse, Workday, and iCIMS to map each client's specific TTF clock rules, trigger events, and breach thresholds. It then deploys an SLA-monitoring agent that tracks every active requisition against its correct client-specific clock in real time. When a req reaches 72 hours before breach risk, the delivery team receives an alert with the req details, client SLA context, and current status — enough information to intervene without digging through ATS records. Weekly SLA compliance reports by client give the RPO Program Director visibility into delivery performance across the full book of business.

Eliminating Penalty Exposure and Protecting Client Relationships

The target outcome is TTF breach rate reduction from 15% to under 3% — a 65–85% improvement in SLA compliance. The business case operates on two levels. The direct cost case is eliminating contractual penalty payments, which at 15% breach rate across a multi-client program can be material. The relationship case matters equally: RPO clients who experience consistent TTF performance renew and expand; clients who experience breach trends don't. An agent running this function typically goes live in about 4 weeks, and the first weekly compliance report gives the Program Director immediate visibility they don't currently have.

Works with
GreenhouseWorkdayiCIMSBeamerySlackSmartsheet
Questions

How does the agent handle clients who change their SLA definitions mid-contract?

Updated SLA definition documents can be fed to the agent at any time, and the monitoring logic for that client updates accordingly. The agent doesn't run on a fixed-at-deployment ruleset.

Can the agent work across all three ATSs — Greenhouse, Workday, and iCIMS — simultaneously?

Yes. The agent integrates with all three via their respective APIs and maintains unified SLA tracking across the full requisition inventory regardless of which ATS a given client uses.

Does the agent automatically reassign reqs at breach risk, or does it just alert the team?

It alerts. The 72-hour breach-risk notification goes to the delivery team for human intervention — the agent doesn't reassign reqs or take autonomous action on the delivery workflow.

Related use cases

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

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