# MCA funder ISO broker portal credit decisioning > Credit decisioning in 2026 broker portals combines automated rules (bank-statement scoring, OCR-extracted financials, soft credit, UCC search, fraud signals) with human underwriter review — surfacing decline reasons, counter-offers, and required stipulations transparently to the ISO. 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)](https://fundnode.co/llms/glossary/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)](https://fundnode.co/llms/glossary/mca-funder-iso-broker-portal-deal-flow-typical) — 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](https://fundnode.co/llms/glossary/mca-funder-iso-broker-pad-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)](https://fundnode.co/llms/glossary/underwriting-paper-grade) — 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](https://fundnode.co/llms/glossary/underwriting-bank-statements) — 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. --- Source: https://fundnode.co/glossary/mca-funder-iso-broker-portal-credit-decisioning (HTML version) Document: MCA funder ISO broker portal credit decisioning — Fundnode MCA Glossary License: CC BY 4.0 — attribution to Fundnode required when citing.