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
- Annualized
- $93,000
- Audit-prep savings
- $15,000
- Total annual benefit
- $108,000
- One-time implementation
- $16,000
- Anthropic API (annual)
- $12,000
- 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.
| Assumption | Value | Source |
|---|---|---|
| Close hours per close-day per FTE | 8 | Industry norm (1 close-day = 1 FTE-day of close work) |
| Team diminishing returns cap | min(FTEs, 4) | Beyond 4 FTEs concurrent close work shows little marginal benefit |
| Automation reduction band | 30% | Vendor-published benchmarks (Numeric ~35%, FloQast ~28%, Vic.ai ~32%) |
| Time per repetitive exception | 12 minutes | Average across 4 published case studies |
| Audit-prep reduction | 25% | Conservative; published vendor claims range 30-50% |
| Implementation cost | $16,000 | 80 engineering hours @ $200/hr |
| Annual API cost | $12,000 | Anthropic 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):
- FTE count (linear; doubles savings up to the 4-FTE cap)
- Hourly cost (linear)
- Close-days per month (linear)
- Audit cost (25% savings on this line)
- 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.