The Systems Case Studies Security & Compliance Integrations How It Works
ROI CalculatorBook Free Audit
Case Studies

Real operating problems.
Measured outcomes.

Four anonymized healthcare engagements showing what changed before and after deployment. Client identities and identifying details are withheld for confidentiality; the numbers below are deployment-specific, not promises of future performance.

$710K+Total revenue recovered across the four portfolio engagements
4,800+Staff hours eliminated across the portfolio
0Missed calls after deployment in the reported call-handling engagements
<6 hrsAverage reported prior-auth resolution across the portfolio
Case Study 01

Private Medical Practice

Physician-owned · 4 physicians
~$2M annual revenue

Before

14 calls a day were going unanswered during peak hours. The practice handled 23 prior authorizations each week at roughly 47 minutes of administrative time per request, while physicians spent about 2.4 hours each evening finishing notes.

Deployed

  • AI patient intake & scheduling
  • Clinical documentation assistant
  • Insurance verification & prior authorization automation
0missed calls, down from 14/day
$240Krevenue recovered in year one
18 hrsphysician time saved per week
6 minprior-auth processing, down from 47 min
30 daysCalls captured; 23 weekly auths automated
60 days$60K recovered; breakeven reached
6 months$120K recovered; denial rate down 41%
12 months$240K recovered; 2,184 hours saved
Case Study 02

Private Specialty Practice

Specialty clinic · 6 physicians
~$3.5M annual revenue

Before

The front desk handled 80+ calls per day and missed 19. The practice averaged 31 prior-authorizations a week, with resolution taking 4.2 days, while six physicians spent 2.1 hours per day on documentation after clinic.

Deployed

  • Inbound calls, booking, reminders & waitlist management
  • Structured clinical documentation across all six physicians
  • Automated prior-auth processing and status tracking
0missed calls, down from 19/day
<6 hrsprior-auth resolution, down from 4.2 days
18% → 7%no-show rate
300%reported first-year ROI
30 days100% calls answered; no-shows down
60 days$50K recovered; breakeven reached
6 months$100K recovered; denial rate down 38%
12 months$200K recovered; 300% ROI
Case Study 03

Multi-Location Urgent Care Group

4 locations · 11 physicians
~$6M annual revenue

Before

Across four sites, the network handled 220+ inbound calls per day and dropped 34. Documentation consumed 1.8 hours per physician per day and prior-auth work was fragmented across locations.

Deployed

  • Unified multi-location intake & scheduling
  • Clinical documentation across 11 physicians
  • Combined prior-auth workflow with centralized tracking
220+calls/day fully automated
0missed calls, down from 34/day
45 daysreported ROI breakeven
200%reported first-year ROI
30 daysAll four sites automated
45 days$47K recovered; breakeven
6 months$94K recovered; prior auth days → hours
12 months$120K recovered; 200% ROI
Case Study 04

Hospital System — Pilot Program

Pilot department
System-wide expansion initiated

Before

The pilot department processed 140+ prior-authorization requests a week. Each consumed about 52 minutes of staff time and took 5.3 days to resolve. Physician documentation averaged 2.6 hours per physician per day.

Deployed

  • Clinical documentation assistant in the pilot department
  • Prior-auth automation across 140+ weekly requests
  • Leadership dashboard for status, denials, and documentation visibility
4.1 hrsprior-auth resolution, down from 5.3 days
$150Krevenue recovered in six months
−43%claim denial rate
270%reported first-year ROI
30 days140+ weekly auths automated
60 days$60K recovered; board review initiated
6 months$150K recovered; expansion approved
12 monthsSystem-wide rollout reported live
About these results

These figures describe the four anonymized engagements in the Attractive AI healthcare portfolio. Outcomes depend on baseline volume, staffing, reimbursement, workflow design, integrations, implementation scope, and client economics. They should not be read as a guarantee of future results.

Your operation

The useful question is not “can AI do this?” It is what is this workflow costing today?

The AI Infrastructure Audit maps the current process, quantifies the cost and bottlenecks, and determines what is worth automating before a proposal is built.