Should you hire another sales rep, or give your team an AI agent that does the busywork? Plug in your numbers for an instant, no-fluff ROI readout.
Sales capacity model
Where does an AI agent create more value?
Compare two honest cases: helping reps convert recovered time into pipeline, or turning automated work into usable team capacity. Adjust every assumption.
Year-one decision view
Model signal
Assist the team first
The modeled gross-profit lift is stronger than the value of capacity alone. Pilot the workflow before treating time saved as revenue.
+$205Knet value advantage
Assist the reps
Convert recovered time into revenue
Stronger case
Year-one net value$322K
Incremental revenue
$624K
Gross-profit lift
$437K
Year-one ROI
280%
Payback
3.2 mo
Automate the work
Use time saved as deployable capacity
Second case
Year-one net value$117K
Capacity unlocked
1.6 FTE
Capacity value
$232K
Year-one ROI
102%
Payback
6.0 mo
Annual recurring cost$80K
Year-one investment$115K
Hours returned / year3,120
Pilot guardrails
Start with 3 reps for 60–90 daysChoose one repeatable workflow, not a broad AI transformation.
Require 6.0 hours returned per rep each weekMeasure completed work and usable time, not prompts or logins.
Prove at least $164K in annualized revenue liftThat is the break-even lift at your margin and year-one investment.
How the model works
Assist case: baseline revenue x automatable share of the workweek x agent automation x productivity capture x adoption. Gross margin converts the revenue lift to gross profit.
Capacity case: rep count x automatable share x agent automation x adoption. That FTE-equivalent capacity is valued at loaded rep cost.
This is a decision model, not a forecast. The two cases are alternative value lenses and should not be added together. Capacity only becomes savings when hiring is avoided, workload is redeployed, or headcount changes. Revenue lift assumes recovered time produces at the team’s current rate.
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