Core formula
Volume x value x lift
Start with known business inputs before projecting anything.
ROI Data
Measure AI workforce ROI where revenue actually leaks.
A practical model for estimating and tracking the value of answered calls, faster follow-up, booked appointments, recovered invoices, and team time returned.
ROI model
Demand
Inbound volume
How many calls, texts, forms, and emails arrive each week?
Conversion
Booked next step
How many become appointments, estimates, consultations, or payments?
Recovery
Open loops closed
How much revenue sits in quotes, no-shows, recalls, and unpaid balances?
General EmployeeLive workflow
Customer intent captured
Next step confirmed
Team handoff written
Payback check
30 days
Compare booked and recovered revenue against the employee cost.
Secondary value
Hours returned
Track staff time removed from repetitive response and follow-up.
Model
Start with four numbers the business can actually get.
ROI gets fuzzy when it starts with abstract productivity. The useful model starts with the operational events that become money.
Missed demand
Count calls, texts, forms, and emails that were missed or answered too late. Multiply by realistic booking rate and average job value.
Missed contacts x booking rate x job value
Slow follow-up
Measure quotes, estimates, consultations, and carted services that did not get a timely second touch.
Open quotes x recovery rate x average quote
Calendar utilization
Track unused capacity that could have been filled by reminders, reactivation, recalls, or after-hours bookings.
Open slots x average appointment value
Uncollected revenue
Review overdue invoices, missed deposits, no-show fees, and payment links that need structured follow-up.
Eligible balance x expected recovery
Measurement
A good pilot has a scoreboard before the employee starts.
The first 30 days should prove whether the AI employee is creating booked work, recovered revenue, and cleaner handoffs.
Week 1
Baseline inbound volume, missed contacts, booked appointments, response time, and current follow-up backlog.
Week 2
Turn on one employee, monitor escalations, inspect summaries, and confirm the team trusts the handoffs.
Week 3-4
Compare booked work, recovered balances, customer response rate, and hours removed from the team.
Inputs
The data to pull before a demo.
Weekly inbound calls, texts, forms, and emails.
Missed calls or voicemail volume by hour.
Average job, appointment, consultation, or repair order value.
Open quotes, aging invoices, no-shows, and recall lists.
Hours the team spends answering, booking, reminding, and updating systems.
Bring the numbers. We will map the employee around them.
The fastest path is to start with the workflow where one more booked job or recovered balance changes the math.