Custom loan origination software built around your underwriting rules, not a vendor's.

A typical loan origination build includes five parts. The borrower portal: digital application, document upload, e-signature, and real-time status tracking so applicants stop calling for updates. The underwriting workbench: application queue, automated decision rules, manual review tools, conditions tracking, and approval workflows. Document management: collection checklists, verification status, version control, and secure storage. Integrations: core banking platform, credit bureaus, income and asset verification services, and appraisal or valuation providers. Compliance: full audit trail on every file action, adverse action notice generation, and document retention rules configured to your policy.

The rules engine encodes your credit policy as executable logic. When an application arrives, the system pulls credit, verifies income and identity through your data providers, and runs the file against your rules: debt-to-income thresholds, credit score floors, loan-to-value limits, employment verification, and product-specific conditions. Clean files that pass every rule get an automated decision in minutes. Files that fail or sit in grey areas route to an underwriter with the specific failed conditions flagged, so the human review starts where the flagged conditions are, not at the beginning of the file. Your credit team owns the rules: they can adjust thresholds and add conditions without a code change, and every rule change is versioned with an audit trail showing who changed what and when.

Common core banking integrations: Fiserv, FIS, and Jack Henry for US banks and credit unions, plus custom API integration for proprietary cores. Credit bureaus: Equifax, Experian, and TransUnion via standard pull interfaces. Verification services: income, employment, asset, and identity verification through providers like Plaid, Truework, or your existing vendors. Document and e-signature: DocuSign or Adobe Sign embedded in the borrower flow. Appraisal and valuation: AMC integrations or AVM data feeds for your product type. Integration scope and method are confirmed during discovery before any code is written, so you know the exact data flows, credentials needed, and dependencies before development starts. We test every integration against a staging environment before production cutover.

Compliance is scoped during discovery, not retrofitted. Every change on a loan file is logged with timestamp, user, and before/after values, producing a complete audit trail examiners can follow. Adverse action notices generate automatically with the specific reasons for denial, supporting fair lending documentation. Document retention rules match your policy: what is kept, for how long, and who can access it. For mortgage lending, disclosure timing and tolerance tracking are built into the workflow so the file cannot advance past a milestone until the required disclosures are logged. When the rules change (new disclosure forms, revised tolerance calculations), the versioned rules engine and configurable disclosure logic absorb the change as a policy update, not a platform rewrite: your credit and compliance teams change the rules, we ship the new version with an audit trail. We build to your compliance team's requirements document; your counsel reviews the workflow before we ship, and the audit trail is exportable for examinations.

Buy when your products are standard and your volume fits the vendor's pricing: a plain-vanilla mortgage shop or auto lender with conventional products is often better served by an established LOS: Encompass, nCino, Blend, or MeridianLink, depending on your product mix and channel. Build when the product does not fit the template: specialised commercial products, unique underwriting criteria, multi-channel origination (branch, broker, direct), or a borrower experience you want to own as a differentiator. Build also makes sense when per-loan SaaS fees have outgrown the value: run the arithmetic: divide the build cost by your monthly per-file fees, plug in your own numbers, and compare the break-even against the platform's useful life. The honest middle path: buy the commodity pieces (credit pulls, e-signature) and build the origination workflow and underwriting engine that carry your edge. We will tell you in the first call if buying is the smarter move; we do not sell builds to lenders who should buy.

The POS (point of sale) is the borrower-facing front door: application, document upload, status updates. The LOS is the back-office engine: underwriting workflow, conditions, compliance, funding. Most lenders need both, and the pain usually lives in the gap between them: the POS collects documents the LOS cannot ingest, so staff re-key data. We build the two as one platform, or integrate a new POS with the LOS you already have.

Yes, and for many lenders that is the right first step. We build the integration layer between your existing LOS and the systems it does not talk to: document management, the borrower portal, verification providers. You keep the LOS of record; we eliminate the re-keying and the document chasing around it. A full replacement only makes sense when the LOS itself forces workarounds on your core products.

Honestly, probably not yet. At that volume, per-loan SaaS fees are usually cheaper than a build. Below roughly $5M in portfolio or a few hundred files a year, a low-cost off-the-shelf LOS or even disciplined spreadsheet operations return more per dollar. We will tell you that on the first call. Come back when volume makes the per-file math hurt.

Automation should clear the clean files and flag the rest. Grey-area files route to a person; every automated decision needs an override path, and every override needs a reason code logged to the audit trail. The trade-off: push straight-through processing too far and you get adverse-action and fair-lending exposure with no human in the loop; keep humans on everything and you are back to days-long decisions. We design the boundary with your credit team: rules auto-decide inside policy, route to underwriters outside it, and the exception queue, not the approval queue, is where your people work.

Implementation is the real price: customization, integrations, data migration, employee training, and postponed go-live. Compare three-year total cost (direct, recurring, and hidden) rather than sticker price, and evaluate cost per decision if your volume is high. Per-loan and per-user models scale faster than the portfolio, and nightly batch-sync with cores creates reconciliation problems that grow with volume.