Fundingo's Scoring Model Is Solid. The Salesforce Underneath It Isn't Free.
Fundingo's ML-based underwriting scoring is a real capability — it genuinely helps prioritize and evaluate submissions. But like Cloudsquare, it's built on Salesforce, which means the same implementation project and ongoing per-seat licensing before your desk sees any of that scoring in production. Scaler builds an AI agent that scores, triages, and works submissions directly — the analytical lift Fundingo offers, without a Salesforce org to buy, implement, and administer underneath it.
Independent Salesforce-implementation benchmarks put a small-to-midsize build at roughly 4-12 weeks for a simple scope, extending to 3-4 months with real customization and data migration — the same timeline tax that applies to any Salesforce-native MCA platform, Fundingo included.
Aggregated Salesforce implementation-timeline industry benchmarks — not a Fundingo-specific or Scaler client figure.
Fundingo's underwriting scoring is only as fast to reach as the Salesforce project in front of it.
- 01Fundingo's ML scoring sits on top of a Salesforce implementation — the same weeks-to-months build-out timeline as any Salesforce-native MCA platform, before scoring runs on real submissions.
- 02Salesforce per-seat licensing is a recurring cost stacked underneath the Fundingo build, scaling with every processor or closer you add.
- 03A scoring model is only useful once your desk's data — funder outcomes, stip patterns, deal characteristics — is actually flowing into it correctly, which depends on the Salesforce implementation being configured right.
- 04Changing how deals get scored or which factors matter routes through Salesforce customization work, not a quick internal adjustment.
- 05For a lean ISO/broker shop, the underwriting scoring is genuinely valuable — the enterprise CRM platform underneath it is more infrastructure than the workflow requires.
Live in days, not months.
Audit
We map how your desk currently prioritizes and evaluates submissions, and where a scoring/triage layer would actually save time — independent of any underlying CRM platform.
Build
We build an AI agent that scores and triages submissions based on your funder panel's real approval patterns, chases stips, and routes deals — no Salesforce implementation required.
Deploy
The agent goes live directly against your workflow, typically in days — there's no CRM org to stand up before the scoring logic starts running.
Run
We operate and refine the agent's scoring and triage logic as your funder outcomes and deal mix evolve. You get the analytical lift without the platform underneath it.
Submission scoring and triage that runs from day one, not after a Salesforce build.
- No Salesforce implementation project standing between you and working submission scoring.
- No per-seat Salesforce licensing compounding your cost as your desk grows.
- Scoring logic tuned to your actual funder panel's approval patterns, not a general-purpose Salesforce data model.
- Adjusting what the model weighs is a conversation with us, not a Salesforce customization ticket.
- Right-sized for a lean ISO/broker desk instead of enterprise CRM infrastructure built for larger operations.
Questions, answered.
Book a free scoping call.
Twenty minutes, no pitch deck. We'll map exactly how this would run for your business and what it'd recover. Prefer to read more first? See our AI automation services.