The same Dallas healthcare system that cut time-to-fill from 38 to 21 days documented $140,000 in annual savings by calculating the fully loaded cost of open clinical positions against days eliminated per hire. The savings didn’t come from headcount reduction — they came from eliminating the carrying cost of open roles that the system closed faster.

How $140,000 Gets Calculated

Carrying cost for an open position is the daily cost of not having that role filled: overtime paid to existing staff absorbing the workload, agency or temp coverage costs, lost productivity on assignments requiring the role, and recruiter time managing the extended search. For a clinical role in a healthcare setting, this runs $350–$600 per day depending on the position level.

At 200 annual hires and 17 days recovered per hire, the Dallas organization eliminated 3,400 open-position days from their annual total. At an average carrying cost of $41 per day across their mix of clinical and administrative roles, the annualized savings landed at $139,400 — documented as $140,000 in their internal business case.

The Integration Stack That Generated the Savings

The savings traced back to three specific integration points: automated interview scheduling eliminated 6 days from the scheduling segment, automated offer routing eliminated 4 days from the offer segment, and automated pre-employment initiation eliminated 7 days from the pre-employment segment. Not all 17 days came from any single automation — the improvement stacked across three connected workflows.

This is the compounding effect of a connected HR tech stack. Each integration reduced a segment independently. All three integrations running together produced a 45% reduction in total time-to-fill that no single integration could have achieved alone.

The Second Savings Source: Offer Acceptance Rate

Offer acceptance rate moved from 71% to 84% over the 12-month post-implementation period. For an organization with 200 annual hires, that’s 26 additional accepted offers per year that previously required the organization to restart the search — an average of 3–4 additional weeks of carrying cost per restart. The improved acceptance rate added approximately $28,000 in avoided restart costs to the overall savings figure.

What the ROI Model Looked Like

Total annual savings documented: $168,000 (carrying cost reduction + avoided restart costs). Annual system integration cost: $24,000 (licensing and maintenance for the automation layer connecting the three platforms). Net annual return: $144,000. Payback period: 10 weeks from the date the first integration went live.

The business case the Dallas team presented to leadership used the carrying cost calculation as the primary ROI driver. Leadership approved the investment in the first review meeting because the math connected directly to a cost line they already tracked and were already trying to reduce.

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