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1
Monday Forecast
›
2
Friday Reality
›
3
The Operational Gap
›
4
Mend The Gap
›
5
The Proof
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AI Readiness Agent
Prepare Every Patient.
Automatically. With AI.

Mend's AI predicts which patients won't show and intervenes automatically — fewer no-shows, more revenue captured.

See the Story See AI Readiness in Action
Chapter 1  ·  Monday, 8:04 AM
Provider utilization
is projected at 91%.

Schedules are full. The week looks great. Every provider slot is accounted for.

This is what Monday looks like when you're running a behavioral health operation at scale.

Week of March 4 — MONDAY FORECAST
91% utilized
MONTUEWEDTHUFRI
Chapter 2  ·  Friday, 5:30 PM
No-shows. Gaps.
Revenue that never arrived.

Friday tells a different story. Slots that looked confirmed on Monday sat empty. Patients didn't show. Waitlisted patients weren't offered those openings in time.

That's not a clinical failure.
It's an operational one.
And it happens every single week.
Week of March 4 — FRIDAY ACTUAL
58% utilized
MONTUEWEDTHUFRI
Revenue gap this week
⚠ ~$47,200 lost
Chapter 3  ·  The Operational Gap
Calculate your no-show cost.

Enter your numbers. See what no-shows are costing you — and what Mend can recover.

↑ Enter your own data
Scheduled Monthly Appointments
Current No-Show Rate
%
Avg Revenue Per Visit
$
Monthly No-Show Cost
$150,000
10,000 × 15% × $100
Revenue you're leaving on the table every month
Mend Recovery Opportunity
$50,000/mo
$600,000 / year
If your no-show rate is reduced by 5%
↑ Adjust to see your recovery potential
That's real revenue — from appointments that are already scheduled.
AI Readiness Agent
Readiness automation that works inside
the systems you already use.

Mend doesn't replace your EHR. It adds AI-powered readiness, pre-visit engagement, and no-show prevention on top of the systems your team already uses.

🔒 ehr.organization.internal/scheduler/daily
CarePoint
Clinical Suite
Dashboard
Schedule
Clients
Billing
Reports
Settings
Thu, Mar 5, 2026
JP
Dr. Patel
MARTINEZ, JORDAN (00293847)
M, 36, DOB 04/15/1990 · Medicaid · Westside BH
BH Episode Active DX: F33.1 Major Depressive Disorder ⚠ 3 Prior No-Shows
🏠
📅 SCHEDULE
👥
💳
📊
📋
DR. PATEL — TODAYThu 3/5
9:00
Reyes, Alex
Ind. Therapy · 50m
Confirmed
10:30
Torres, Sam
Med Mgmt · 30m
Unconfirmed
12:00
— Open Slot —
Waitlist pending
Gap
2:00
Martinez, Jordan
Ind. Therapy · 50m
Unconfirmed
3:30
Liu, Casey
Group DBT · 90m
Confirmed
Martinez, Jordan
DOB: 04/15/1990 · MRN 00293847 · Medicaid · Episode #4
Appointment Info
Date/Time
Thu 3/5 · 2:00 PM
Type
Individual Therapy
Status
Unconfirmed
Copay
$45 — unpaid
Attendance History
Prior no-shows
3 of last 8 appts
Last seen
Feb 12, 2026
Intake complete
No
Notes
3/3: Pt reported transportation difficulty. Discussed video option. No follow-through on intake form. Provider flagged for pre-visit outreach.
🔮 mend has insights on this patient's readiness and outcome trends →
m
AI LAYER
▼
3 patients need attention before this afternoon
🔴
Jordan M. — 74% no-show risk3 prior no-shows · $ 45 copay balance · Not confirmed
→ Send outreach + offer video
🟡
Sam T. — 48% no-show riskTransportation barrier flagged · Telehealth eligible
→ Auto-switch to Video Visit
🟢
Casey L. — Low riskConfirmed · Payment collected · Intake complete
📋
12:00 PM gap — 2 waitlist matchesMarcus D. and Priya S. meet Dr. Patel's criteria
→ Auto-fill from waitlist
24
Self-scheduled this week
6
Waitlist slots filled
91%
Intake completion rate
$0
Staff time for scheduling
RECENTLY SELF-SCHEDULED
Thu 12:00Marcus D.↑ Waitlist fill
Fri 9:00Priya S.Online booking
Fri 2:30Tom B.Online booking
Jordan Martinez — PHQ-9 Trend · After Mend Engagement
Severe Moderate Mild 18 16 13 9 6 4 ← Mend engaged ↓
OctNovDecJanFebMar
AI Readiness Agent
Prepare every patient before the visit breaks down.

Mend predicts which patients are likely to no-show, reaches out automatically, removes barriers, and helps teams recover care before provider time is lost.

Predict likely no-shows before the slot goes dark
Automated pre-visit prep, intake, and confirmations
99%
Attendance predictor accuracy
Scheduling Agent + Access
Clinicians stay fully utilized. New patients get in faster.

Self-scheduling, Smart Waitlist, digital intake, and automated gap-filling keep every hour of provider capacity generating revenue — and reduce new patient wait times from weeks to days.

Smart Waitlist auto-fills cancellations instantly
Zero staff effort for scheduling
+33%
Average increase in provider utilization
Predictive Operations
Not a dashboard.
A directive to act on.

Surface leading indicators for revenue leakage, compliance gaps, and performance patterns — with a clear next action attached to each. Your biggest operational questions, answered before they become problems.

Leading indicators — see risk before it materializes
FUH compliance tracking built in
$41K
Avg revenue recovered per month per location
🔒 app.mendpatient.com/engage/readiness
AI Readiness Agent
● Monitoring
JM
Jordan Martinez
3 prior no-shows · Copay balance · Unconfirmed
74%
Send SMS →
ST
Sam Torres
Transportation barrier · Telehealth eligible
48%
Offer Video →
AR
Alex Reyes
New patient · Insurance unverified
38%
Verify →
CL
Casey Liu
Confirmed · Payment collected · Intake complete
8%
94%
Confirmation Rate
2,847
Outreach Today
$41K
Revenue Protected
6.2%
No-Show Rate ↓
Today's Requests
Jordan M.
Reschedule → Video
Marcus D.
New patient · Waitlist
Priya S.
Self-scheduled
Tom B.
Intake pending
1. Found Mend
2. Booked
3. Intake ←
4. Copay
5. Reminded
🗓 Self-Schedule
Su
Mo
Tu
We
Th
Fr
Sa
1
2
3
4
5
6
7
8
9
10
11
12
13
14
📋 Digital Intake
🎥 Video Visit
Dr P
Dr. Patel
🎤
📷
💬
✕
💳 Copay Collection
$45.00
Due at time of service
Pay with Apple Pay →
🔒 PCI compliant · No portal
✓ ROI Guaranteed
Predictive Operations
● 4 Actions Ready
Revenue Leakage Risk
$12,400
↑ Up 18% vs last week
→ Review 7 at-risk appts
FUH Compliance (7-day)
74%
↓ 3 pts below target
→ Surface 5 overdue patients
Avg Provider Utilization
91%
↑ +33% since Mend launch
→ View by clinician
Intake Completion
88%
↑ All channels
→ Review incomplete
🎯 AI Directive — Highest Impact Action Now
3 patients discharged from inpatient psychiatric care have not completed their required 7-day follow-up. You are at risk of failing FUH compliance for this reporting period. Estimated revenue impact: ~$8,200. Recommended: auto-schedule follow-ups now.
Customer Proof
"With Mend, we recovered $200,000 a month and served 3,000 more patients — without adding a single headcount."
$200K
Monthly revenue recovered after deploying Mend
Easterseals MORC
3,000
Additional patients served annually without adding headcount
Easterseals MORC
7.4%
Average no-show rate across Mend customers, vs. 35%+ industry average
Mend Platform Data, 2024
Purpose-built for behavioral health — not retrofitted from another vertical. Mend understands CCBHCs, CMHCs, and value-based care because that's all we do. 15M+ patient visits and counting.
The result

More patients seen.
More revenue captured.

Behavioral health organizations use Mend to prepare patients earlier, reduce no-shows, and capture more revenue without replacing the EHR. Purpose-built for behavioral health.