Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Healthcare • 120 Residents

Case Study 49: Senior Living Facility

Marketing-optimized case study for Canadian SMBs.

$112,000
Annual Savings
420%
ROI
3.1 months
Payback
Healthcare • 120 Residents
Industry Focus

Executive Summary

Inquiry Management: AI chatbot answers family questions about amenities, costs, availability, care levels. Schedules tours and collects assessment information.

Challenge

Solution

  • Inquiry Management: AI chatbot answers family questions about amenities, costs, availability, care levels. Schedules tours and collects assessment information.
  • Care Plan Optimization: ML analyzes resident health data to identify declining conditions early. Recommends care level adjustments and preventive interventions.
  • Staff Scheduling: Optimization considers resident acuity, staff certifications, regulatory ratios, and shift preferences. Ensures adequate coverage.

Technical Stack

Key Metrics

38%
Tour booking rate improved from 38% to 61%
34%
Hospital readmissions reduced 34% through early intervention
82%
Staff scheduling time reduced 82%
4.1
Family satisfaction scores improved from 4.1 to 4.6
2
Eliminated 2 FTE (1 admissions, 1 scheduler) - $67k savings

Implementation Timeline

10 weeks including HIPAA compliance and staff training

Ready to map your SMB workflow?

We can estimate ROI and scope the right MapleWorkSuite configuration for your team.

Start a Custom Case Study