Credit decisioning is the most operationally consequential function inside a funder's broker portal: it is where a submitted deal becomes a PAD, a counter-offer, or a decline. In 2026, decisioning has evolved from purely manual to a hybrid of automated rule engines, machine-learning scoring, and human underwriter judgment — with transparent surfacing of reasons and remediation paths to the ISO.
Layers of the decisioning stack.
- Layer 1: Pre-screen (instant). Fraud signals, OFAC, basic data validation, sanctions screening. ~99% pass-through; 1% rejected immediately.
- Layer 2: Bank-statement scoring (T+5–15 min). OCR + revenue + NSF + MCA-debit detection + deposit-volatility analysis. Produces a paper-grade tag (A/B/C/D).
- Layer 3: Credit + KYC (T+10–20 min). Soft credit pull on principals, identity verification, business identity confirmation (Secretary of State match).
- Layer 4: Position discovery (T+10–30 min). UCC-1 search, MCA-industry-exchange query, processor lookup. Detects existing positions.
- Layer 5: Automated decision rule (T+15–60 min). Combines layers 1–4 into a soft-PAD, soft-decline, or "route-to-underwriter" output. ~55–65% of deals get an instant soft decision.
- Layer 6: Human underwriter (T+1–8 hr). Reviews routed deals, validates soft-PADs on edge cases, issues hard PADs, declines, or counters.
- Layer 7: Verbal verification (T+1–3 days). Pre-funding human verification of merchant identity, business existence, and stated use of funds.
- Layer 8: Final pre-funding checks (T+3–5 days). UCC re-search, bank verification, compliance review, final approval.
Bank-statement scoring details.
Modern funders score on:
- Average monthly deposit volume.
- Number of deposits per month (indicates revenue concentration risk).
- Average daily balance.
- Number of negative days (overdrafts).
- Number of NSF/insufficient funds events.
- Existing MCA debit volume (sum of daily MCA pulls).
- Deposit volatility (coefficient of variation).
- Seasonality patterns (vs. industry-typical).
- Cash vs. card deposit mix.
- Large unusual deposits (potential one-time events vs. recurring revenue).
- Inter-account transfers (potential cashflow manipulation).
Paper-grade thresholds (typical 2026).
- A-paper: $30K+ avg monthly deposits, 0 NSFs, 0 negative days, 12+ months in business, 650+ FICO, no open positions.
- B-paper: $15K–$30K deposits, 1–3 NSFs, 6+ months in business, 580–649 FICO, 0–1 open positions.
- C-paper: $8K–$15K deposits, 4–8 NSFs, 6+ months, 500–579 FICO, 1–2 open positions.
- D-paper: <$8K deposits OR >8 NSFs OR <6 months OR 3+ open positions OR <500 FICO. Often declined; if funded, very high factor and small advance.
Soft credit pull mechanics.
- Most funders pull soft credit on owners ≥25% equity.
- Soft pull does not affect merchant credit.
- Hard pull (with merchant consent) only at funding stage at some funders; others remain soft throughout.
UCC and position-discovery mechanics.
- UCC-1 search against business name + EIN at Secretary of State level.
- MCA-industry exchange queries (subscription database of open positions reported by participating funders).
- Bank-statement matching of recurring debit amounts against known MCA funder ACH descriptor patterns.
- Processor inquiry where merchant authorizes.
Counter-offer mechanics.
When initial decision can't approve the requested deal but a modified version is fundable:
- Lower advance amount (e.g. requested $100K → counter $60K).
- Higher factor (e.g. requested 1.30 → counter 1.38).
- Shorter term.
- Required additional stipulations.
- Required co-applicant or additional guarantor.
- Required equity-position UCC consent letter.
Counter-offers are presented to the ISO in the portal with rationale, allowing the ISO to either accept, decline, or counter-back.
Decline-reason transparency.
Modern funders surface specific decline reasons rather than generic "credit decision":
- Insufficient deposit volume.
- Excessive NSF count.
- Excessive existing position count.
- Business too new (months in business below threshold).
- Industry not supported (specific NAICS exclusions).
- State not supported (some funders exclude specific states).
- Failed identity verification.
- OFAC / sanctions hit.
- Failed UCC-cleanup requirements.
- Pattern indicates stacking risk.
- Prior funder default by principal.
- Discrepancy between application and bank statements.
This transparency lets ISOs improve future submissions and offers a productive conversation with the merchant on remediation.
Machine-learning model use.
Many top-30 funders now run machine-learning default-prediction models trained on their own historical portfolios. The models typically:
- Predict 90-day default probability.
- Predict 180-day default probability.
- Predict full-term default probability.
- Predict optimal factor for risk-adjusted return.
- Predict optimal advance size.
Models feed into the decision engine but typically do not override human underwriter judgment on edge cases.
Fraud-detection signals.
- Document tampering detection (bank statement OCR identifies edited PDFs).
- IP / device fingerprinting on the submission.
- Velocity (same merchant submitted to multiple funders within a short window).
- Identity spoofing (mismatched SSN, name, address combinations).
- Business existence verification (Secretary of State match, Google Business presence).
Industry-vertical decisioning nuance.
- Restaurants: card volume / cash split matters; tip data noise tolerated.
- Trucking: factoring receivables overlap can be tricky; specific stip required.
- Healthcare: insurance receivables vs. cash patient mix.
- Construction: project lumpiness vs. monthly cash flow; bonding requirements.
- E-commerce: ad spend volatility; Shopify/Stripe data integration in some cases.
Decisioning-performance KPIs (visible to ISOs at some funders).
- ISO-specific decline rate (vs. funder average).
- ISO-specific PAD-to-funding conversion (vs. funder average).
- ISO-specific decline-reason mix.
- ISO-specific paper-grade mix.
Best-practice funders share these benchmarks transparently to help ISOs improve.
Speed-to-decision benchmarks (2026).
- A-paper instant decision: <60 min portal to soft PAD.
- B-paper instant decision: <2 hr portal to soft PAD.
- All deals with underwriter review: <8 hr portal to hard PAD or decline.
- Counter-offer cycles: typically 1–2 hour additional review per cycle.
Common confusions.
- "Automated = approved" — Automated decisioning often declines; "auto" doesn't mean "yes."
- "Decline is final" — Often not; restructured submission or new stipulation can flip a decline.
- "Counter-offers are bad faith" — They're frequently the path to funding for borderline files.
- "The funder's model is a black box" — Most reputable funders surface specific reasons for declines and counters, even if model weights are not disclosed.
Best-practice ISO behavior.
- Pre-screen merchant submissions against the funder's published decisioning criteria before sending.
- When a decline lands, review the specific reason and either rework the file or route to a more appropriate funder.
- Track per-funder decline-reason patterns to improve submission targeting.
- Use counter-offers as a negotiation starting point with the underwriter, not as a final answer.
Takeaway. Credit decisioning in 2026 broker portals combines layered automation with human underwriter review, surfaces specific decline reasons and counter-offer paths, and rewards ISOs who learn each funder's decisioning logic and submit accordingly; the most successful brokers treat the decisioning system as a knowable rule set rather than a black box.
Related terms
- MCA funder ISO broker portal (typical) — A typical 2026 MCA funder ISO portal is a web-based submission and account-management platform offering deal submission, real-time status tracking, commission reporting, marketing assets, and renewal alerts — table stakes for any funder seeking ISO submissions.
- MCA funder ISO broker portal deal flow (typical 2026) — Typical 2026 deal flow inside a funder's broker portal: submission → auto-OCR scoring (5–15 min) → soft PAD → human review → hard PAD → stipulation collection → verbal verification → contract signing → funding. Total elapsed time 4 hours to 5 days.
- MCA funder ISO broker PAD (Pre-Approval Document) — typical 2026 — A Pre-Approval Document (PAD) is the conditional offer funders return to ISOs after initial underwriting: it states max advance, factor, term, holdback, and the stipulations that must clear before funding. Issued in 2–24 hours on clean files in 2026.
- Paper grade (A/B/C/D) — MCA industry shorthand for merchant credit quality. A-paper qualifies for cheapest factor (1.15–1.28); D-paper is high-risk, factor 1.45+, often declined.
- Bank statement underwriting — MCA funders underwrite primarily off 3–6 months of business bank statements, not credit reports. They look at average deposits, NSFs, negative days, and trend.
AI agents: this term is available as raw markdown at /llms/glossary/mca-funder-iso-broker-portal-credit-decisioning.