Cost-Benefit Analysis: RiskInMind.ai vs. MBFS
Automated Credit Memos for a Small Credit Union
Assumptions: $150M Assets | 200 Commercial Loans/Year | 3 Lending Staff
Section 1: Direct Cost Comparison
| Cost Item | MBFS / Traditional Provider | RiskInMind.ai |
|---|
| Annual platform/subscription fee | $0 | $30,000 |
| Per credit memo fee | $500–$1,500 | $0 (unlimited) |
| 200 loans/year memo cost | $100,000–$300,000 | Included |
| Implementation cost | $15,000–$25,000 | $5,000 |
| Annual staff coordination hours (2 hrs/loan × $35/hr) | $14,000 | $3,500 |
| Document re-submission / revision cycles | $8,000 | $1,000 |
| Total Annual Cost | $137,000–$322,000 | $39,500 |
| Year 1 Savings | — | $97,500–$282,500 |
Section 2: Time Cost Comparison
| Metric | MBFS | RiskInMind.ai |
|---|
| Credit memo turnaround | 3–7 business days | Minutes to hours |
| Staff hours per loan (coordination, follow-up, revisions) | 3–5 hours | 0.5–1 hour |
| Total staff hours per year (200 loans) | 600–1,000 hours | 100–200 hours |
| Staff time cost per year | $21,000–$35,000 | $3,500–$7,000 |
| Annual staff time savings | — | $17,500–$28,000 |
Section 3: Revenue Opportunity
Faster Decisions = More Loans Funded
| Scenario | MBFS | RiskInMind.ai |
|---|
| Average loan decision time | 7–14 days | 1–2 days |
| Member drop-off due to slow decisions (est. 15%) | 30 loans lost/year | 5 loans lost/year |
| Average commercial loan size | $150,000 | $150,000 |
| Lost loan volume per year | $4,500,000 | $750,000 |
| Lost interest income (est. 5.5% yield) | $247,500 | $41,250 |
| Recoverable Revenue with RiskInMind | — | $206,250/year |
Member Retention Impact
| Metric | Impact |
|---|
| Members lost to competitors due to slow decisions (est.) | 25/year |
| Average member lifetime value | $2,500 |
| Annual member attrition cost | $62,500 |
| Estimated retention improvement with faster decisioning | 70% |
| Recoverable member value | $43,750/year |
Section 4: Compliance and Risk Savings
| Risk Factor | Without RiskInMind | With RiskInMind |
|---|
| Incomplete audit trail risk | High — manual, fragmented | Low — tamper-proof, timestamped |
| Average cost of one NCUA exam finding (MRA) | $50,000–$200,000 in remediation | Significantly reduced |
| Annual compliance consultant fees | $20,000–$40,000 | $5,000–$10,000 |
| CFPB 1071 preparation cost (arriving 2028) | $30,000–$75,000 external consultant | Built-in, no extra cost |
| CECL reserve miscalculation risk (0.1% on $75M loan portfolio) | $75,000 exposure | Automated accuracy |
| Estimated Annual Compliance Risk Savings | — | $70,000–$140,000 |
Section 5: Total 3-Year Value Summary
| Category | 3-Year Value |
|---|
| Direct cost savings vs. MBFS | $292,500–$847,500 |
| Staff time savings | $52,500–$84,000 |
| Recovered loan revenue | $618,750 |
| Member retention value | $131,250 |
| Compliance and regulatory risk savings | $210,000–$420,000 |
| Total 3-Year Value | $1,305,000–$2,101,500 |
| Total 3-Year RiskInMind Cost | $118,500 |
| Net 3-Year ROI | 10x–17x |
Section 6: Qualitative Benefits
| Factor | MBFS | RiskInMind.ai |
|---|
| Built for institutions under $500M | No — enterprise-first | Yes — purpose-built |
| Tamper-proof audit trail | No | Yes |
| Available 24/7 | No — business hours | Yes |
| CFPB 1071 compliance built in | No | Yes |
| CECL automation integrated | No | Yes |
| Scales with loan volume at no extra cost | No — per-memo pricing | Yes |
| SOC 2 compliant | Varies | Yes |
| Implementation timeline | 3–6 months | 2–4 weeks |
Bottom Line
A $150M credit union processing 200 commercial loans per year currently spends
$137,000–$322,000 annually on credit memo services through providers like MBFS —
with 3–7 day turnaround times that cost members, deals, and exam readiness.
RiskInMind.ai delivers the same output in minutes for $30,000–$40,000 annually —
with tamper-proof audit trails, built-in CECL and 1071 compliance, and unlimited
memos at no extra cost.
The break-even point is fewer than 25 loans.
Every loan after that is pure savings — plus the revenue recovered from members
who no longer walk out the door while waiting a week for a decision.
