The Fast Help Loans inquiry form — the front door to a fully automated lending workflow.
Case Study
Fast Help Loans came to us with a manual intake process and a clear vision: a borrower-to-lender workflow that runs itself. We built it.
The Fast Help Loans inquiry form — the front door to a fully automated lending workflow.
Fast Help Loans is a hard-money lender that connects borrowers with a vetted network of capital sources for residential and commercial real estate deals. CEO Kevin Bowlin came to Galanta with a clear vision: replace a manual, email-driven intake process with an AI-first workflow that could handle borrower onboarding, document generation, and lender coordination with minimal human involvement.
The existing process was the bottleneck. Every new inquiry meant copy-pasting borrower data between tools, hand-formatting executive summaries for lender review, sending the same package out to a network of lenders one email at a time, and chasing responses to compile term sheets. The work was high-touch, slow, and impossible to scale.
Galanta designed and built a custom end-to-end platform that takes a borrower from initial inquiry to a lender-issued term sheet without a single manual hand-off. The system writes its own executive summaries, picks its own lenders, sends its own emails, and tracks its own responses. Kevin’s team is freed up to do the work software cannot — relationship management, deal evaluation, and growth.
A relationship business losing time at every stage.
Hard-money lending is a relationship business that runs on speed. The lenders who win deals are the ones who can put a clean, complete package in front of capital fastest. Fast Help Loans was losing time at every stage of the workflow:
Across these four stages, the same data was touched a half-dozen times by hand. Errors were inevitable. Speed-to-lender was capped by whoever was at their desk that hour.
Kevin’s three-tier brief
The third one is the part most automation projects skip. It’s also the part Kevin pointed at as the one he most wanted built right.
I was seeking a comprehensive, three-tiered automated system to manage data from collection through external processing and accountability.
Kevin Bowlin
CEO, Fast Help Loans
A custom platform — not a stitched-together stack of off-the-shelf tools.
Four building blocks, designed to compose.
01
Borrowers arrive at a Fast Help Loans inquiry form purpose-built for the loan type they’re seeking — residential refinance, commercial acquisition, commercial refinance, and others. Each form captures the specific fields a lender needs to evaluate the deal. There is no generic “get in touch” form. The system knows what it needs to ask. Submissions land in a structured borrower record inside the Fast Help Loans application, ready to be acted on. No transcription. No retyping. No copy-paste.
02
The moment a borrower submits an inquiry, the system generates a complete, lender-ready executive summary as a polished, branded PDF. Customer information, loan snapshot, property details, financials, borrower background — all populated automatically from the intake record. The output is the same document Kevin’s team used to spend hours formatting by hand. The executive summary is the single artifact that determines whether a lender engages. Making it fast, consistent, and on-brand was non-negotiable.
The AI-generated executive summary — the artifact that determines whether a lender engages.
03
Each deal is automatically scored against Fast Help Loans’ internal lender criteria — loan size range, property type, geography, lien position, occupancy, and other deal characteristics. The system returns a ranked list of lenders who match the request and routes the executive summary to them via personalized email. The lenders who used to live in someone’s head now live in a database. The matching that used to require institutional knowledge now happens in milliseconds.
04
Every lender receives a personalized link to respond with proposed terms. Their responses are captured in a structured format, assembled into a branded term sheet, and delivered back to the borrower for review. The borrower never sees the back-and-forth. They see a clean, professional set of offers. A monitoring layer tracks which lenders respond, how quickly, and how often their offers move forward — so Fast Help Loans can manage the network with data, not gut feel. This is the accountability layer Kevin specifically asked for, and it’s running in production.
Woven into the workflow, not bolted on.
AI is woven into the workflow, not bolted on. The executive summary generation, the lender-matching logic, and the term sheet assembly each use AI where it earns its keep — turning structured borrower data into deal-ready documents in the time it takes a human to read the inquiry.
The rest of the platform is straight custom software: a relational data model, a permissions system, audit trails, a clean admin UI. The AI sits inside that foundation, not on top of it. That is the difference between an AI feature and an AI workflow.
80%
Faster turnaround from inquiry to lender response
Turnaround time from initial inquiry to lender response dropped by over 80%. What used to take hours of manual transcription, formatting, and one-by-one email outreach now happens automatically the moment a borrower hits submit. Lenders receive consistent, professionally formatted packages every time. Borrowers see a faster, more polished experience. Internal staff are freed to focus on relationships and deal evaluation — the work that actually grows the business.
The system also gave Fast Help Loans something they didn’t have before: visibility. Every inquiry, every lender match, every response is tracked. Decisions about which lenders to keep in the network and which to retire can be made from data, not from memory.
The platform and automation solutions have been exceptionally professional and significantly exceeded my expectations. The quality of the development and the resulting functionality are outstanding.
Kevin Bowlin
CEO, Fast Help Loans
Kevin’s brief had moving pieces — three integrated tiers, a lender network that needed to be modeled, and a customer experience that had to look as polished as a top-tier brokerage. The project asked for engineering, design, and judgment in equal measure.
I value your willingness to think outside the box and consistently propose creative alternative solutions. Your team's ability to adapt quickly and effectively to unanticipated challenges has been a critical factor in the project's success.
Kevin Bowlin
CEO, Fast Help Loans
Galanta operated as Fast Help Loans’ software department: surfacing tradeoffs, recommending architectural choices, and shipping working software through each phase of the build.
I would recommend your services to any company, large or small, that possesses a clear vision for automation and needs a dedicated team to bring it to life.
Kevin Bowlin
CEO, Fast Help Loans
If your business has a workflow that touches multiple parties, generates the same documents over and over, and depends on speed — there’s a Fast Help Loans–shaped opportunity in it.
We look at what you’re trying to ship, walk through how we’d approach it, and tell you straight if we’re not the right fit.
Fast Help Loans is a hard-money lender headquartered in Southern California, serving residential and commercial real estate borrowers across the United States. Led by CEO Kevin Bowlin, the firm specializes in fast-turnaround financing through a curated network of private capital sources.