Precision AI for Lending Institutions
Human Intelligence
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Prove every decision. Explain every outcome.
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Community Lending Institutions · 2025 CSBS Annual Survey
Voyager Results
5-10%*
Conversion Lift
Turn more maybes into approved loans
80%*
Faster to Close
Close loans in days, not weeks. Outpacing industry benchmarks
*Hover for source
We didn't build this in a lab. We built it at the table, with lenders.
"AI could do 80 to 90 percent of the work on a credit review."
Community Banker, 2025 CSBS Annual SurveyCommercial Lending, Unified
From multiple fragmented stages to one intelligence layer.
Today
The Commercial Lending Process Most Institutions Live With
Stage 01
Intake & Application
Email + PDF
Stage 02
Document Collection
Shared drive
Stage 03
Financial Spreading
Spreadsheet
QC Stop
Compliance QC
Checklist binder
Stage 05
Underwriting & Analysis
Legacy LOS
Stage 06
Credit Memo
Word doc
Stage 07
Loan Committee
Committee deck
Stage 08
Close & Book
Core system
Fragmented, Labor-Intensive, Slow.
With Voyager AI
Seven Stages. One Continuous QC Layer.
Runs against your credit policy at every stage, not just one.
Stage 01
Intake & Application
Stage 02
Document Collection
Stage 03
Financial Spreading
Stage 04
Underwriting & Analysis
Stage 05
Credit Memo
Stage 06
Loan Committee
Stage 07
Close & Book
Automated ingestion, completeness validation
Automated doc checklist, real-time gap tracking
Auto-spreads from uploaded docs, DSCR and cash flow calculated instantly
Pre-spread, pre-analyzed file delivered to the underwriter
Drafted in your institution's format, ready for review
Consistent, complete package every time
Closing checklist auto-generated, full audit trail
- Automated ingestion, completeness validation
- Automated doc checklist, real-time gap tracking
- Auto-spreads from uploaded docs, DSCR and cash flow calculated instantly
- Pre-spread, pre-analyzed file delivered to the underwriter
- Drafted in your institution's format, ready for review
- Consistent, complete package every time
- Closing checklist auto-generated, full audit trail
Integrated, Intelligent, Fast.
Where the lender's day goes, before and after Voyager
Before Voyager
With Voyager
Share of the lender's day spent on high-value work: relationships, structuring, and credit judgment.
Voyager AI helps financial institutions deliver higher-quality decisions and a faster, more consistent experience for clients.
Loan origination costs have risen 35% in three years. (Freddie Mac, 2024)
Origination · Spreading · Credit Memos · Closing
Voyager Delivers
Higher conversions. Stronger loan quality. Better balance sheet outcomes.
Decision-Ready Intake
Borrower-facing intake, KYB, and credit pull qualify deals upfront, so underwriting resources are reserved for viable opportunities
Automated Financial Spreading
Tax returns and financials spread into standardized templates with DSCR, global cash flow, and ratio analysis, ready for credit committee
Audit-Ready Feasibility Studies
Feasibility analyses that pass examiner review the first time
Continuous Compliance and QC
Compliance and QC run against your credit policy at every stage, surfacing exceptions before they reach your bottom line
Higher Conversion Rates
Surface documentation gaps early to turn conditional approvals into closed loans
Improved Loan Quality
Identify premium borrowers and incentive structures that strengthen your portfolio
Why Lending Leaders Trust Voyager
Built for leaders who won't compromise on security
A tool that automatically learns our specific policies and context is critical. It allows us to access all our information seamlessly without replacing our core business functions.
Our post-closing process is still incredibly manual. We need a secure solution to verify that loan documents match applications. That's something we can't trust to public AI tools.
Private AI. Defensible by Design.
An AI model that keeps your institution's data, decisions, and standards inside your walls, and produces work an examiner can defend.
Your Data. Your Model. Your Environment.
Voyager runs in a single-tenant environment dedicated to your institution. Your loan files, borrower data, and policies are never pooled with other lenders and never used to train external or shared models. The intelligence learns your institution's standards and stays inside your walls, where regulators, examiners, and your board expect it to be.
Deterministic. Repeatable. Examiner-Ready.
Identical inputs follow the same fixed logic every time. Voyager enforces structured rules, not probabilistic generation. Every SBA eligibility check, USDA determination, and compliance QC is repeatable, auditable, and ready for an examiner.
Fair Lending at the Architecture
PII and protected characteristics are stripped from the data stream before any analysis occurs. They are never available to the model. Fair lending compliance is engineered into the architecture, not tested after the fact.
Frequently Asked
Answers for lending and credit leaders
How does AI underwriting work for a community bank or credit union?
Voyager AI ingests the borrower application, tax returns, K-1s, rent rolls, and business debt schedules, extracts the line items your credit team already spreads, and drafts a credit memo with full provenance back to the source document. A credit officer reviews and approves every decision. Nothing is auto-approved and nothing is sent to a borrower without a human sign-off.
Is Voyager AI SOC 2 compliant?
Voyager AI is SOC 2 Type I certified and on the SOC 2 Type II pathway. The platform is single-tenant, encrypted with AES-256 at rest and TLS 1.3 in transit, and aligned with SR 11-7 model governance expectations. Customer data is never used to train external models.
Does Voyager AI replace our loan origination system (LOS)?
It does not have to. Voyager AI runs on top of an existing LOS such as nCino, Baker Hill, Abrigo, or Jack Henry LoanVantage, enriching it with AI underwriting, credit memo drafting, and document extraction. For institutions without a modern LOS, Voyager AI can also serve as the origination system itself.
Does customer data train external AI models?
No. Voyager AI is deployed single-tenant. Borrower and institution data stays within your control boundary and is contractually excluded from any external model training. This is a core commitment of the platform, not an enterprise upsell.
Which loan programs does Voyager AI support?
Commercial and industrial lending, commercial real estate, SBA 7(a) and 504, and USDA business and industry loans. The platform is purpose-built for complex lending workflows where credit judgment, compliance, and audit trails matter.
How long does deployment take?
Most community banks and credit unions are in production on the first workflow within four to eight weeks, depending on document management integration and internal review cycles. Voyager AI ships with lending workflows pre-modeled, so there is no long configuration project before the first loan runs through the system.
How does Voyager AI handle examiner audits and source-document traceability?
Every extracted field, calculation, and edit in a Voyager AI credit memo carries provenance back to the source document, page, and line item, with timestamps and reviewer identity captured. When an examiner asks how a spread number was derived or why a covenant flag fired, the answer is a click, not a week-long file reconstruction. The audit trail is aligned to SR 11-7 model risk management expectations and supports fair lending review under ECOA and Regulation B.
How fast can a credit memo move from documents to a committee-ready draft?
For a typical SBA or commercial file with complete borrower documents, Voyager AI produces a committee-ready draft credit memo the same day the documents arrive, not the same week. Lending teams routinely report compressing multi-day analyst work into a single review cycle, with the credit officer spending time on judgment and structuring rather than retyping numbers off a PDF.
Precision AI for Lending Institutions
See What Your Team
Could Do Tomorrow.
Bring us your messiest loan file. We'll show you what Voyager can do with it in 15 minutes.
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