Sets sensible defaults for the five inputs below. Override anything.
Base pay before benefits, taxes, or overhead. National average front office: $36K to $52K.
Role avg: $42K /yrHealth, payroll tax, 401k match, PTO, workers comp, equipment. BLS pegs the average at 31% of salary.
Industry: 28 to 35%Onboarding plus ongoing coaching, valued at the employee's hourly rate. 120 hours is the SHRM median for front office.
Industry: 80 to 200 hrsProbability the role turns over each year. SHRM values each event at 50% of annual salary (recruiting, lost productivity, replacement training).
Industry: 30 to 45%Pick the tier matching the role. Receptionist and setter live on N1. Inside sales typically needs N2. Multi role coverage runs N3.
An AI agent can cover one role part time (0.5x) or several roles in parallel (3x to 5x). At 2.0x you are replacing two FTEs with one AI seat. The math compounds fast.
Typical deploys: 1.0x to 3.0xFree Detailed Report
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See What N1 Includes →How this calculator works
Does the AI agent actually replace 100% of the work?
What about supervision? Don't I still need someone to manage it?
Should I use a hybrid model, or full replacement?
When is this the wrong move?
Where do the fully loaded cost formulas come from?
FullyLoaded = Salary + (Salary x Benefits%) + (TrainingHours / 2080 x Salary) + (Turnover% x Salary x 0.50).
The 2080 is annual work hours (40 x 52), used to value training time at the employee's hourly rate. The 0.50 multiplier on
turnover is SHRM's median replacement cost for non specialized roles (recruiting, vacancy lost productivity,
replacement onboarding). For specialized or licensed roles SHRM uses 1.5x to 2.0x salary, which would
push your savings even higher. The calculator uses 0.50 to stay conservative.