Skip to main content
AGENT ROI
YR-1 ROI · TOTAL-COST BASIS
$—
Net Annual
Benefit
Payback
Period
$—
Platform Fee
/ Year
Analyst FTEs
Freed
LIVE
SR 11-7 · ECOA · HMDA · CRA · Reg B · CECL
Fair Lending · OCC 2011-12 · SBA SOP 50-10
Credit Underwriting · ROI Intelligence

Quantify Your Underwriting
Transformation

Configure your institution's exact loan volumes, analyst staffing, and portfolio mix. The calculator models annual savings, IRR, payback period, agent-level efficiency gains, and 3- and 5-year NPV — with bear / base / bull sensitivity analysis.

7-Agent Parallel Pipeline ECOA / HMDA Automated SR 11-7 Model Governance $0.14–$0.90 AI Inference · % of cost 3.0s Orchestration · Two-Clock IRR & NPV Analysis
$—
Annual Net
Savings
Payback
Period
3-Year
NPV
FTE
Freed
Year-1
YR-1 ROI · TOTAL-COST BASIS
fee + impl + AI in denominator
Configuration Parameters
Adjust to match your institution's current operations
Volume
Cost
Platform
Advanced
Total Applications / Year5,000
All loan types · current pipeline
Auto-Decision Eligible (%)35%
Zero-touch via score gate + policy filter
Avg Loan Size ($K)$450K
Annual Maturity Renewals1,200
Consumer / HELOC (%)25%
CRE & Industrial / ABL (%)30%
SBA 7(a) (%)20%
Construction (%)15%
Syndicated / Other (%)10%
Annual Cost Savings
$—
Labor + compliance savings, net of AI + platform · excludes credit quality upside
Payback Period
From project start · includes ramp period · platform billed day 1
3-Year NPV
$—
Discounted at WACC · ops savings only · impl cost in yr-1 cashflow
Year 1 ROI
Year 1 net ÷ implementation cost · ops savings only
FTE Capacity Freed
Capacity freed · fraction converts to cost savings (configurable)
Cost Per Decision
AI vs manual
Project IRR
vs WACC discount rate
5-Year NPV
$—
@ discount rate
5-Year ROI
Return on investment
Cost Reduction
Per-decision vs manual
Cost Structure Before vs After
Annual operating cost breakdown
— reduction
Cumulative ROI Timeline
36-month net cumulative value
—mo payback
5-Year Financial Projection
Annual savings vs cost by category
5-Year Net: $—
Bear / Base / Bull Sensitivity Analysis
Conservative (60% auto) · Base · Optimistic (95% auto) scenarios
Enterprise CFO View
Model basis: labor savings = billable hrs × rate × automation × 75% utilization · compliance cost elimination · ops-only · ROI denominator = impl cost (capex) · payback includes go-live ramp cost. · Total-cost ROI (platform+AI+impl) shown for cross-product comparability with KYC/FD/IR calculators. Credit quality, CECL & revenue upside excluded from headline — shown as addl upside in projection table.
Agent-Level Annual Savings
Per-agent contribution to total savings
7 Parallel Agents ∥
Quarterly Cash Flow to Payback
Cumulative net value by quarter
Break-even: Q—
Loan TypeApplicationsHrs/Decision Manual CostAI CostAnnual SavingsReduction
Automated ECOA · HMDA · CRA · Reg B · SR 11-7 · CECL enforcement value
PeriodPlatform + AI CostLabor Savings Compliance SavingsCredit QualityNet BenefitCumulative ROI
Legal Disclaimer & Material Assumptions

For informational and illustrative purposes only. This calculator generates forward-looking financial estimates based solely on the inputs you provide. It does not constitute financial advice, investment advice, legal advice, or a binding commercial commitment. CAIBots makes no representation or warranty, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of outputs generated by this tool.

Actual results will vary. Projected savings, ROI, payback periods, IRR, and NPV are estimates derived from user-supplied inputs and publicly available industry benchmarks. They are not guarantees of future performance. AI cost per decision reflects model inference only; third-party data fees (credit bureau, AVM, CoStar, IRS 4506-C) are institution pass-through costs excluded from this model. Realized benefits depend on actual transaction volumes, staffing levels, integration complexity, regulatory environment, model validation timelines, and organizational factors not fully captured by any calculator.

Financial methodology. ROI = (Net Annual Benefit − Total Annual Cost) ÷ Total Annual Cost. Payback via cumulative monthly cash-flow simulation; Year 1 benefit ramp default 70% (adjustable). IRR uses Newton-Raphson iteration on a 5-year cash-flow series: Year 0 = one-time implementation cost only; recurring platform and API fees deducted from each future year. IRR figures for SaaS models are directional — a small one-time Y0 capex relative to large recurring savings produces high percentages. Compare to your internal hurdle rate; do not interpret absolute value. 3-Year NPV discounted at 8% WACC (adjustable). Nominal USD; no inflation adjustment.

Sensitivity scenarios. Conservative: −20% volume · 70% of benchmark savings · +15% cost · 60% Year 1 ramp. Optimistic: +20% volume · 100% benchmark savings · base cost · 80% Year 1 ramp. These parameters are identical across all CAIBots ROI calculators to enable consistent cross-product comparison.

Benchmark sources. Default inputs derived from: FFIEC examination statistics, FDIC Quarterly Banking Profile data, RMA Annual Statement Studies, Federal Reserve SLOOS, and Celent/Aite-Novarica/Oliver Wyman industry surveys. CAIBots strongly recommends replacing defaults with your institution’s own volume, cost, and rate data before presenting results to executive leadership, boards, or procurement committees.

© 2022–2026 Path2Excel LLC · CAIBots is a product of Path2Excel LLC. All rights reserved. Terms of Use Privacy Policy contact@caibots.com Calculator · Reviewed with suite V4.0 release · July 2026
Where the AI cost per case comes from. A case is a multi-agent run: each agent receives a system prompt, the case record and its retrieved context, and returns findings; a synthesis step then writes the narrative. Summed across agents that is roughly 30k input / 3k output for a simple disposition, 80k / 8k for a standard investigation, and 200k / 20k where a long written narrative is produced. At $3.00 per million input, $15.00 per million output, that is $0.14, $0.36 and $0.90 per case.

No prompt-caching discount is applied, so these are the pessimistic end — caching repeated system prompts and retrieved corpora would cut input cost substantially on volume. Figures assume Claude Sonnet; a cheaper model lowers the cost and, for narrative generation, is a decision worth making explicitly rather than by default.

Why this line rarely moves the outcome. Even at these rates the AI cost is a small fraction of total cost next to the platform fee. That is disclosure, not a lever — and it is stated here because a figure that cannot be derived from token arithmetic is the first thing a procurement reviewer will challenge.
AI inference cost
30k in + 3k out
80k in + 8k out
200k in + 20k out
claude-sonnet-4-6
AI run cost · per year
of total solution cost
Tokens per case are a property of the workload. The rate is a property of your commercial agreement — change it and everything recomputes. Inference is disclosed because it should be, not because it drives the case.