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David L.

HVAC Company Owner
Home Services
18 technicians

2.5

AIBMM Score

David owns an HVAC company with 18 technicians. His dispatchers were overwhelmed with incoming calls, scheduling conflicts were losing jobs, and technicians were constantly calling the office for part information.

Starting Point: The Struggles

Dispatchers overwhelmed with 100+ calls/day

Scheduling conflicts losing 5-10 jobs/week

Technicians calling office 20+ times daily for parts info

No way to handle after-hours emergency calls

The 90-Day Journey

Week 1
Office + Field Discovery
Discovery

David ran Discovery with office staff and field supervisors. Score of 2.5 - all operations were phone and paper based.

Week 2
Service Business Workflows
Workflows

Mapped call intake, dispatching, scheduling, parts lookup, and job closeout. Call intake and scheduling had highest priority.

Week 3
Two-Lift Stage Plan
Stage Plans

Given team's tech comfort level, limited to 2 Lifts: AI Call Screening and Smart Scheduling Optimization.

Weeks 4-7
Call Screening Implementation
Lifts

Deployed AI phone system that screens calls, identifies emergency vs routine, collects job details, and routes to appropriate dispatcher.

Week 6
Telecom Configuration Delays
Friction Log

Phone provider needed special configuration for AI handoff. 2-week delay logged as friction. Used temporary workaround.

Weeks 7-11
Smart Scheduling Rollout
Lifts

AI considers technician skills, location, job type, and traffic to optimize daily routes. Dispatchers review and approve suggestions.

Week 10
Weekly Checkpoint
Checkpoints

Standard Checkpoint revealed scheduling Lift at Yellow status due to GPS data quality. Added technician phone check-ins as backup.

Week 12
Field Team Review
Checkpoints

Both Lifts graduated. Dispatchers now handle 40% more calls. Scheduling conflicts nearly eliminated. Captured call scripts as patterns.

Lifts Executed

AI Call Screening and Booking
Graduated
L1

L2

Dispatchers handle 40% more calls

Smart Scheduling Optimization
Graduated
L1

L2

Scheduling conflicts down 90%

Friction Encountered & Resolved

Issue

Telecom provider slow to configure AI call handoff

Resolution

Used temporary IVR workaround, escalated to vendor management

Issue

GPS data quality issues affecting route optimization

Resolution

Added technician check-in backup and improved truck GPS devices

Results: By the Numbers

Calls per Dispatcher
Before

100/day

After

60/day

40%
Scheduling Conflicts
Before

5-10/week

After

1/week

90%
Jobs Completed per Tech
Before

4/day

After

5/day

25%

Key Takeaways

Field service businesses benefit enormously from call automation

Start with conservative Lifts when team has low tech comfort

Telecom/vendor dependencies are common friction sources

Smart scheduling creates both efficiency and happier technicians

What's Next for David?

Mobile parts lookup for technicians, AI-assisted diagnostic support

Start Your Journey

David started exactly where you are. Begin with Discovery to chart your own path.

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