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Hours per ProjectAvg: 35 hrs

Person-hours your team spends drafting, reviewing, and formatting one response.

hours
5102550100150
Projects per YearAvg: 50/yr

How many RFPs, DDQs, and security questionnaires you respond to each year.

projects
2550100200500
Hourly Opportunity CostAvg: $75/hr

Fully-loaded cost of expert time — salary plus the value of work they’re pulled off.

$
/hour
$25$50$100$250$500
Current Tool Investment

What you pay today for existing RFP tooling. Toggle off if you have none.

$
/year (Loopio, Responsive, etc.)
Current Win Rate

Share of responses you win today. AutoRFP.ai customers typically lift this toward ~50%.

%

→ 50% with AutoRFP.ai

Average Contract Value

Average annual value of a won deal — used to estimate revenue from a higher win rate.

$
ACV

Your AutoRFP.ai business case

With AutoRFP.ai

Hours saved / year
2,048
Labor cost saved / year
$174,080
Added revenue from higher win rate
$2,000,000
Net annual benefit
$2,169,080
Return on investment
7,230%
Payback period
<1 month

Your current state

Total Hours Today
3,200
Current Labor Cost
$272,000
Total Investment
$297,000

Assumptions used:

  • Hours per Project: 32 hours
  • Projects per Year: 100 projects
  • Hourly Opportunity Cost: $85 /hour
  • Current Tool Investment: $25,000 /year (Loopio, Responsive, etc.)
  • Current Win Rate: 40 %
  • Average Contract Value: $200,000 ACV

These are average-case estimates — your actual results sit within a range that depends on your industry, product mix, team, and the nature of your documents. They’re grounded in what a typical customer can expect (≈64% less response time and a ~10-point win-rate lift), not a guarantee.

See it on your numbers

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