ROI calculator

A defensible back-of-envelope for your audit committee.

Defaults below match a typical Series A B2B SaaS team. Edit to fit your shape. The model is conservative — assumptions drawn from published vendor benchmarks (Numeric, FloQast, Vic.ai), not from marketing material. Nothing leaves your browser.

Inputs

Defaults match a typical Series A B2B SaaS team. Edit to fit your shape.

Output

Updates live as you change inputs. Nothing leaves your browser.

Hours saved per month
62 hrs
Close-cycle savings
$7,750 / month
Annualized
$93,000 / yr
Audit-prep savings
$15,000 / yr (25% of $60,000)
Total annual benefit
$108,000
One-time implementation
$16,000 (80 eng-hours @ $200/hr)
Anthropic API (annual)
$12,000 midpoint; varies with volume
Year-one ROI
286%
Ongoing ROI
800%
Payback period
3.6 months

How the model works

The calculator uses these assumptions, drawn from published vendor benchmarks and a conservative interpretation. Edit the inputs above to see how sensitive the output is to each.

AssumptionValueSource
Close hours per close-day per FTE8Industry norm (1 close-day = 1 FTE-day of close work)
Team diminishing returns capmin(FTEs, 4)Beyond 4 FTEs concurrent close work shows little marginal benefit
Automation reduction band30%Vendor-published benchmarks (Numeric ~35%, FloQast ~28%, Vic.ai ~32%)
Time per repetitive exception12 minutesAverage across 4 published case studies
Audit-prep reduction25%Conservative; published vendor claims range 30-50%
Implementation cost$16,00080 engineering hours @ $200/hr
Annual API cost$12,000Anthropic API midpoint; varies with volume

What the model excludes

  • Opportunity cost of analyst time. Time saved on close gets reallocated to FP&A / strategic work, not just removed from the team budget. The model under-counts here.
  • Fraud-prevention upside. Materiality routing + sensitive-account flagging catches incidents that would otherwise burn 2-4 controller-weeks each. Not modeled because the frequency is non-deterministic.
  • Audit-finding cost. A material audit finding can cost $50K – $500K in remediation + reputation. Server-side controls reduce probability; the model doesn't price this.
  • Vendor lock-in cost. The cost of not being able to leave a commercial vendor without re-implementing the controls layer. Material in year 3+; not modeled.

Reproducible from the CLI

Running closegate locally? Reproduce any figure from the live workspace widget on the command line:

closegate-engine impact-calc \
  --seed-pack saas \
  --fte-count 5 \
  --hourly-rate-usd 125 \
  --close-days 6

Returns deterministic JSON. Pin in your CI; cite in your board pre-read.

Want a sensitivity analysis?

Tweak the inputs above to see how each lever moves the year-one ROI. Default sensitivity ordering (most to least impactful):

  1. FTE count (linear; doubles savings up to the 4-FTE cap)
  2. Hourly cost (linear)
  3. Close-days per month (linear)
  4. Audit cost (25% savings on this line)
  5. Repetitive-exception percentage (12 min × exceptions × pct)

Inbound

Share the numbers with your CFO

The output above is suitable for a board pre-read. If you want a longer-form pitch deck or want to walk the numbers with the maintainer, the design-partner intake is open.