Step 1 of 6

About 60 seconds

1

Include all billable hours across payers (Medicaid, private pay, long-term care, etc.).

hours / month
1,000 15,000 50,000
2

Use your average reimbursed rate across all payers (an estimate is fine).

$ / hour
$10 $32 $100
3

Includes unfilled visits, unstaffed cases, authorization-related lost hours, discharges or service issues.

4.5%
0% 15%
4

Includes documentation follow-up, denied/delayed claims, EVV failures, timely filing and unapproved visits.

3.0%
0% 15%
5

Include employees involved in scheduling, staffing, EVV, documentation, authorizations, compliance, billing, HR, reporting, and other administrative processes.

employees
1 12 100
6

On average, how many hours per day does each of these employees spend chasing issues or doing repetitive manual work?

Think about all departments — time spent chasing missing information, following up with caregivers or clients, fixing EVV exceptions, filling open shifts, tracking authorizations, checking documentation and compliance, resolving billing or claim issues, entering data, preparing reports, and moving information between systems.

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AI Automated Tools Can Help You Recover & Save

$49,860 / month

$598,320 / year

Total potential financial impact from revenue recovery and operational savings with AI automated tools.

Disclaimer

How the Opportunity Breaks Down

Unfilled / Undelivered Care

$21,600 / month

4.5%
How we calculated this

15,000 billable hours × 4.5% unfilled × $32/hour = $21,600 / month

Billing, EVV & Documentation Issues

$14,400 / month

3.0%
How we calculated this

15,000 billable hours × 3.0% with issues × $32/hour = $14,400 / month

Staff Time & Operational Costs

$13,860 / month

How we calculated this

12 employees × 1.5 hrs/day × 22 workdays × $35/hour loaded staff cost = $13,860 / month

Assumptions: 22 workdays/month, $35/hour loaded staff cost.

Give Your Team Time Back

~198 hours / month

~2,376 hours / year

Potential staff time recovered through AI & automation.

How we calculated this

12 employees × 1.5 hrs/day × 22 workdays × 50% automation = 198 hours / month (2,376 hours / year)

Estimated 50% reduction in manual workload

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