⚠️ STAGED FOR INTERNAL REVIEW — not cleared for production. Customer sign-off pending. Every [CONFIRM] below needs resolution before publish.
[CONFIRM framing: this is an aggregate/composite view across Vali's customer base — not a single named customer. Confirm whether to publish as a "case study" or as a "By the numbers" evidence page. No individual agency is identifiable without sign-off.]
Updated July 2026
Vali fills open shifts and covers after-hours calls for home care agencies. Across the after-hours calls Vali has analyzed in depth, the large majority were handled end-to-end, with human oversight on the rest; agencies report 80% fewer open shifts and roughly 20 hours a week returned to scheduling and coordination staff. The table labels each figure by where it comes from.
| Measure | Figure | Label |
|---|---|---|
| Open shifts | Agencies report 80% fewer | Vendor-reported, agency-stated |
| Scheduling/coordination time returned | ~20 hours per agency, per week | Vendor-reported, agency-stated |
| After-hours calls handled end-to-end | Large majority (with human oversight) | Vali operational review |
| After-hours calls in our analyzed dataset | 456 analyzed after-hours calls | Vali operational data |
Where these figures come from
Two kinds of numbers sit in that table. The call-handling figures come from Vali's own operational review of 456 analyzed after-hours calls. The open-shift and hours-returned figures are what agencies tell us. We publish those as agency-stated claims, labeled that way, because we have not audited them independently.
Which findings from the call analysis can be released is still in review. [CONFIRM: which specific findings from this analysis are releasable — call-type mix, peak hours, resolution times. Placeholder rows below pending that review.] Three are staged: [CONFIRM: % of after-hours calls that are call-outs vs schedule questions vs other], [CONFIRM: peak call window], and [CONFIRM: median time from call-out to refill outreach starting].
What we don't claim
The after-hours figure does not mean every call should be automated. Calls that escalate are the ones that ought to reach a person: emergencies, and edge cases no script should own. Nor do we present the agency-stated figures as measurements; they are what operators report.
No agency swapped out its scheduling platform to get these results. Agencies behind the table run different scheduling systems in different labor markets under different state rules, and the workflow is the same: open shifts detected in the agency's existing system of record, qualified caregivers contacted by text or call, and a human review on every match before it becomes an assignment.
What agencies say publicly
Reviews from agency staff are collected at vali.health/reviews — reviewers in South Carolina, North Carolina, New York, Washington, Oregon, Florida, and Arizona, including Pamela Sommer of a Home Instead office. [CONFIRM: which review excerpts may be reproduced on this page vs linked.]
"[CONFIRM: quote + attribution — suggested source: a multi-location operator or franchise business consultant, speaking to consistency across sites rather than a single result.]"
For the single-agency version of these numbers, the two case studies published alongside this page follow one after-hours line and one franchise's open-shift board through the same workflow.
Behind every row is the same product: The AI workforce for home care agencies — with built-in human oversight. Vali is HIPAA-compliant and signs BAAs; vali.health/baa has the details, and a demo is the fastest way to check these numbers against your own operation.
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