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MCA Lending CRM

Deal-flow CRM built for merchant cash advance: underwriting, sales, and servicing on one lifecycle with automated handoffs and governed pipeline reporting.

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Direct answer · What is the MCA Lending CRM?

Deal-flow CRM built for merchant cash advance: underwriting, sales, and servicing on one lifecycle with automated handoffs and governed pipeline reporting.

Summary

Deal-flow CRM built for merchant cash advance: underwriting, sales, and servicing on one lifecycle with automated handoffs and governed pipeline reporting.

Bespoke buildPayments integrationWorkflow automation
The challenge

Merchant cash advance runs on speed and risk discipline — but the client's underwriting lived in spreadsheets, sales in a generic CRM, and servicing in email. Every funded deal crossed three systems by hand.

What we built
  • A bespoke lifecycle CRM spanning intake → underwriting → funding → servicing, with automated stage gates and document collection
  • Payments and bank-data integration for real-time exposure and repayment visibility
  • Governed pipeline and portfolio reporting the leadership team runs Mondays from
MCA lending CRM — engagement at a glance
DimensionDetail
Engagement type Bespoke CRM build
Sector Merchant cash advance lending
Starting point Deal data spread across spreadsheets and disconnected tools, with no single record from application to payoff
Scope Full lifecycle: intake, underwriting, funding, servicing
Key integrations Payments processing and bank-data feeds
Automation built Stage gates, document collection, exposure and repayment tracking
Reporting delivered Governed pipeline and portfolio views used in weekly leadership review
What changed One deal record end to end; underwriting turnaround measured in hours rather than days; portfolio risk visible daily instead of at month-end

Why three systems became one

Merchant cash advance is a speed business with a risk problem attached. A deal that takes two days to underwrite loses to one that takes two hours, but a deal underwritten carelessly costs far more than the spread it earned. Those two pressures pull in opposite directions, and most lenders resolve them by adding people.

Here the work crossed three systems by hand: sales in a generic CRM, underwriting in spreadsheets, servicing in email. Every handoff was a retyping step, and every retyping step was a place for a number to change. The reporting problem downstream was not a reporting problem at all — it was three systems that had never agreed what a deal was.

What made this a bespoke build rather than a configuration

The instinct is to configure a standard CRM and move on, and for many lenders that is the right answer. It was not here, for one specific reason: the underwriting stage gates were the business. Which documents block funding, which exceptions a senior underwriter may override, what happens when bank data contradicts a stated revenue figure — that logic was the client's actual competitive position, and it did not fit a pipeline designed around opportunities and close dates.

Configuring around it would have produced a system the underwriters worked around within a quarter. That is the failure mode we see most often in lending: a CRM that records what already happened, while the real process continues in a spreadsheet nobody admits to.

The hard part

Bank-data integration was the technically interesting piece, but the difficult work was defining exposure. Three people in the business could each produce a defensible number for what was currently at risk, and the three numbers differed — not because anyone was wrong, but because "funded", "outstanding" and "at risk" had never been written down.

No amount of engineering resolves that. It took a series of short, uncomfortable sessions to agree definitions before a line of the reporting layer was built. That sequencing is the part worth copying.

What transfers to other lenders

  • If your underwriting logic is your differentiator, configuring it into a generic pipeline will fight you permanently.
  • Agree the definition of every risk number before building the dashboard that displays it.
  • Automating document collection buys back more underwriter hours than automating the decision itself.
  • One deal record from first touch to payoff is worth more than any individual feature on top of it.
Outcome model

What changed after the lending CRM shipped.

OUTCOME 01

One deal record from first touch to payoff

OUTCOME 02

Underwriting turnaround measured in hours, not days

OUTCOME 03

Portfolio risk visible daily instead of at month-end

Considering something similar?

Ask what this would take for you.

Tell us the shape of the problem and you get back a specific scope, timeline and figure — usually within one business day, and before anyone asks you for a call. We will say plainly if your situation is unlike this one.

Bespoke build Payments integration Workflow automation

Talk this through with a practitioner.

The first conversation is about context and fit — nothing more.

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