Credit Decisioning Software for Salesforce

Three engines — ACCESS, DECIDE, and COMPLY — turn credit retrieval, automated underwriting, and compliance into one auditable workflow inside the Salesforce you already run on.

Most lenders already run on Salesforce. The decisioning — pulling credit, scoring an applicant, documenting why you said yes or no — usually happens somewhere else: a bureau portal, a spreadsheet, an analyst's judgment that's hard to reproduce six months later. LASER Credit Access is credit decisioning software that closes that gap by living inside the environment you already work in. Three engines — ACCESS, DECIDE, and COMPLY — turn credit retrieval, automated underwriting, and compliance into one auditable workflow.

What credit decisioning software is — and what it should do

Credit decisioning software is the system a lender uses to turn an application into a documented approve, decline, or refer decision — gathering credit and identity data, applying consistent scoring and policy rules, and recording the reasoning behind every outcome. It sits between the point of application and the funding process, and for most lenders it is the most consequential piece of the lending stack: it determines who gets credit, on what terms, and whether the institution can defend those choices when an auditor or examiner asks.

Good credit decisioning software does more than return a score. It should bring the right data in, apply the same rules to every applicant, leave an audit trail an examiner can follow, and keep the whole process compliant by design rather than by after-the-fact review. Just as important is where it runs: every additional system that touches borrower data widens your attack surface and complicates your compliance story. LASER is built so the data never leaves your control.

ACCESS, DECIDE, COMPLY

One auditable workflow, three engines — credit retrieval, automated underwriting, and compliance, all inside Salesforce.

ACCESS

Credit and identity data, without leaving Salesforce

ACCESS pulls unified credit, identity, and verification data straight into your Salesforce records — from Experian, Equifax, TransUnion, MeridianLink, Plaid, and a broad network of resellers. Your team retrieves what it needs where it already works, instead of logging into a separate portal and copying results back by hand. One environment, consistent data, no swivel-chair.

Explore ACCESS on the platform »
DECIDE

Automated underwriting you can defend

This is the decisioning core. DECIDE applies configurable scorecards and decision rules so identical inputs produce identical outcomes, every time — and every decision leaves a documented trail. That consistency is good business, and under ECOA / Regulation B it's the line between a process you can defend and one you can't. Instant, rules-based decisions replace the spreadsheet and the gut call.

Explore DECIDE on the platform »
COMPLY

Regulatory safeguards built into the workflow

Compliance works best as part of the process, not a review after the fact. COMPLY embeds the major checkpoints — FCRA, ECOA / Regulation B, GLBA, OFAC, BSA / AML, and CFPB Section 1033 — directly into the decisioning workflow, so the guardrails are present at the moment a decision is made.

Explore lending compliance software »

How automated credit decisioning works

Automated credit decisioning replaces the manual sequence — log into a bureau portal, copy a report into a spreadsheet, apply an analyst's judgment — with a single, repeatable workflow. On a loan record in Salesforce, a user or an automated trigger requests the data, ACCESS returns credit and identity results onto the record, DECIDE applies your scorecard and decision rules, and the outcome — approve, decline, or refer — is written back with the reasons attached.

Because the rules are configured once and applied to every applicant, two files with the same profile get the same answer. That consistency is the difference between a decision you can explain to an examiner and one you can't. For lenders using Salesforce as their loan origination system, it also means the decision lives on the same record as the application, the documents, and the servicing history — not in a disconnected tool that has to be reconciled later.

The rules engine is the heart of it. See how configurable scorecards and reason codes work on the automated underwriting software page.

The Salesforce-native advantage

Most credit decisioning tools sit outside your system of record. LASER runs inside the Salesforce org you already operate, which changes both the economics and the risk profile of the workflow. There is no data export, no second login, and no integration layer to maintain between your CRM and your decisioning engine. Your team works where it already works, and your admins configure decision rules with the Salesforce tools they already know.

It also narrows your compliance surface. Every additional system that touches borrower data is another vendor to assess, another place data can leak, and another story to tell an examiner. Keeping credit retrieval, decisioning, and compliance documentation on one platform means one audit trail, one security model, and one place to prove a decision followed policy.

What to look for in credit decisioning software

Not all credit decisioning software is built the same way, and the differences show up under load and under examination. A few criteria separate a durable platform from a point tool:

  • Data breadth without lock-in — pull from multiple bureaus and alternative-data sources (Experian, Equifax, TransUnion, plus banking and identity data), and add or switch providers without re-platforming.
  • Configurable rules you own— scorecards and decision logic your team can build, version, and test against historical applications before they touch a live applicant, rather than a black box you can't inspect.
  • Explainability — every approve, decline, or refer tied to specific reason codes rather than a model score, so decisions are defensible under ECOA and drive compliant adverse-action notices automatically.
  • A single audit trail — the data, the rule version, the inputs, and the decision recorded together, so reconstructing any decision for an examiner is a query, not a scramble.
  • Data-handling posture — the fewer external systems that touch borrower PII, the smaller your GLBA attack surface. Software that runs inside your own environment is materially easier to defend than a pipeline that ships data to a third-party engine.
  • Fit with your stack — decisioning that lives beside your CRM and, where applicable, your Salesforce loan origination system means less integration to build and maintain, and no swivel-chair between systems.

LASER Credit Access was designed against exactly these criteria: multi-bureau access, a transparent rules engine, reason-code explainability, one audit trail, and a footprint that keeps borrower data inside your own Salesforce org. Explore the automated underwriting software that powers the decisioning core, the automated lending compliance software behind the COMPLY engine, or read how credit pulls, decisioning, and compliance come together in Salesforce.

Catching fraud before the decision, not after

The same identity verification and watchlist screening that power ACCESS and COMPLY also act as an early fraud filter. Confirming an applicant's identity, flagging address and data discrepancies, and screening against OFAC and BSA / AML lists before a decision is made protects your capital and gives legitimate borrowers added assurance that their identity is handled carefully. See how loan application fraud prevention sequences those checks inside Salesforce.

Your borrowers' data never passes through us

The LASER application runs inside your own Salesforce instance. Bureau calls originate from your environment and travel directly to the bureau or your chosen reseller. LASER never receives, stores, processes, or routes consumer credit data or borrower PII through any infrastructure we operate. For a GLBA-regulated institution, fewer parties touching sensitive data means a smaller attack surface and a cleaner compliance story.

Use cases by lender type

LASER Credit Access serves any organization that needs accurate, compliant credit decisioning inside Salesforce. What the workflow emphasizes shifts by lender type:

  • Mortgage lenders — tri-merge reports and the documentation trail secondary-market investors and auditors expect.
  • Fintech and digital lenders — high-volume, instant automated decisions that scale without adding headcount.
  • Equipment-finance and commercial lenders — business and guarantor credit, beneficial-ownership checks, and flexible rules per product.
  • Banks — a defensible, examiner-ready decisioning layer that standardizes new consumer-lending products before launch.
  • Credit unions — member-first policy applied identically across every branch and loan officer.
  • Nonprofits and CDFIs — mission-driven underwriting with the audit trail funders and examiners require, without spreadsheet sprawl.

More than 150 financial institutions rely on LASER as the compliant layer between them and the bureaus.

Compliance by design: FCRA, ECOA, and AML/KYC

Credit decisioning sits on top of overlapping federal frameworks, and handling them as an afterthought is what turns into enforcement actions. LASER embeds the checkpoints into the workflow itself:

  • FCRA — permissible-purpose controls before a credit pull, and adverse-action reason codes generated automatically when a decision is a denial or a materially less favorable offer.
  • ECOA / Regulation B — consistent, rules-based decisions and a documented basis for every outcome, which is the record fair-lending examiners expect.
  • BSA / AML and KYC— identity verification and watchlist screening at the point of decision. For the underlying rules, see LASER's guide to KYC requirements and why KYC timing relative to the credit pull matters.

Because these controls run inside the decisioning workflow, the audit trail is a byproduct of normal operations rather than a documentation project that starts when an exam is announced.

See it on Salesforce AgentExchange

LASER Credit Access is available now on Salesforce AgentExchange. View the listing or schedule a demo and we'll walk you through ACCESS, DECIDE, and COMPLY.

Frequently asked questions

What is credit decisioning software?

Credit decisioning software automates how a lender evaluates an applicant — gathering credit and identity data, applying consistent scoring rules, and producing a documented, defensible approve/decline decision. LASER Credit Access does this inside Salesforce so the data and the decision live in one system of record.

Does LASER store our applicants' credit data?

No. LASER runs inside your own Salesforce instance. Bureau requests go directly from your environment to the bureau or reseller; LASER never receives, stores, or routes consumer credit data or borrower PII.

Which credit bureaus does LASER support?

Experian, Equifax, and TransUnion, plus MeridianLink, Plaid, and a broad network of resellers — including tri-merge reports.

How does LASER help with compliance?

The COMPLY engine embeds FCRA, ECOA/Regulation B, GLBA, OFAC, BSA/AML, and CFPB Section 1033 checkpoints into the decisioning workflow, and DECIDE's rules engine produces the audit trail those regulations expect.

Is LASER available on Salesforce AgentExchange?

Yes. LASER Credit Access is listed on Salesforce AgentExchange and installs into your existing Salesforce org.

Is LASER a loan origination system (LOS)?

No. LASER is the credit-decisioning layer — data retrieval, automated underwriting, and compliance — that runs inside Salesforce. If you use Salesforce as your loan origination system, LASER plugs into it; if you run a separate LOS, LASER complements it as the decisioning and compliance engine.

How fast is an automated credit decision?

For applications that cleanly meet policy, a rules-based decision returns in seconds — the credit pull, scoring, and rule evaluation all run against one Salesforce record in real time. Files that need a closer look are routed for manual review with the rule path and data already attached.