Commercial lending runs on borrower intake, credit workflow, loan committee routing, closing checklist, and portfolio renewal cadence. Strkr ships the schema shaped around all five with AI drafting commitment letters, decline notices, and renewal outreach in the professional lender voice.
Commercial loan officers, SBA lenders, equipment finance teams, and small-business lenders describe a predictable set of frustrations with their CRM. The borrower intake runs through 42 documents the loan officer tracks on a spreadsheet. The credit workflow runs email approvals that take days. The loan committee package assembles manually. And the portfolio renewal cadence lives nowhere specific. The pain points below are what Strkr onboarding hears on every intake call with a commercial lender.
A commercial loan requires 42 documents (tax returns, financial statements, A R aging, A P aging, debt schedule, personal financial statement, business plan, use of funds, collateral docs). The officer tracks the collection on a spreadsheet. 11 to 22 percent of deals stall on document collection. Strkr ships document checklists per loan type with 7, 14, 21-day chase cadence and AI-drafted borrower reminders.
The loan analyst sends the credit package to the credit officer via email with the recommended structure. The credit officer reviews in Outlook, replies with conditions, and the officer rebuilds the package. The round trip takes four to seven days. Strkr ships credit workflow inline on the deal with document attachment, analyst recommendation, credit officer review surface, and condition tracking.
For loan committee review the analyst assembles a package (loan summary, borrower background, financial analysis, collateral analysis, credit recommendation, conditions) manually. Two hours of PDF assembly per deal. Strkr ships loan committee package generation that pulls from the deal record and generates the committee binder in minutes.
Loan closing requires 24 items (approved commitment letter, title insurance, UCC-1 filings, personal guarantees, assignments, insurance certificates, legal opinions). The closing coordinator tracks the list on a printout. Items miss. Strkr ships closing checklist as a workflow with per-item owner, due date, and completion status tied to the loan record.
Commercial lines of credit, working capital facilities, and equipment loans mature on configurable schedules. The maturity date lives in the loan system where sales cannot see it. Renewal conversations happen late. Strkr pulls maturity dates onto the account record with 180, 90, 30-day reminders and AI-drafted renewal outreach.
SBA 7(a) and 504 loans require specific documentation (SBA Form 1919, SBA Form 912, SBA Form 148, business tax returns, personal tax returns, lender compliance). The SBA application drifts from the loan record. Strkr tracks SBA documentation as a dedicated workflow with the required forms, the submission tracking, and the SBA correspondence inline.
Strkr ships a tunable lending schema with Borrower, Loan Application, Document Request, Credit Decision, Loan Committee, Loan, Closing Checklist, and Portfolio Account as first-class objects.
A borrower in Strkr carries the business entity, the principals (owners and executives), the guarantors, the business history, and the relationship tier. For multi-entity borrower groups (holding company with operating subs) the hierarchy models correctly.
A loan application ties to the borrower with loan type (commercial mortgage, working capital line, term loan, SBA 7(a), SBA 504, equipment finance), requested amount, use of funds, collateral type, pricing posture, and timeline. The application drives the document checklist and the credit workflow.
The document request checklist ties to the loan application with per-type defaults (24 items for working capital, 42 items for commercial mortgage, 32 items for SBA 7(a)). The chase cadence runs 7, 14, 21 days with AI-drafted borrower reminders.
The credit decision workflow ties to the loan application with analyst recommendation, financial analysis, collateral analysis, credit officer review, conditions, and final decision. The approval log captures every change for audit.
Loan committee ties to the credit decision with the generated committee package (loan summary, borrower background, financial analysis, collateral analysis, credit recommendation, conditions), the committee members assigned, the discussion notes, and the final vote. The audit log captures every change for regulatory compliance.
An active loan carries the loan details, current balance, next payment due, maturity date, payment status (current, past due, in default), covenant monitoring status, and the relationship manager assignment. The account drives the renewal cadence and the covenant monitoring workflow.
Commercial lending runs on a predictable workflow. The cards below show the stages Strkr supports.
The loan officer runs the initial borrower meeting and captures the application structure. Strkr AI drafts the loan application summary from the meeting notes. The officer tunes and routes to the credit analyst for review.
The document request runs with the checklist tied to the loan type. The 7, 14, 21-day chase cadence runs with AI-drafted borrower reminders. The analyst sees the completion percentage per deal. Deals get completeness status (red, yellow, green) for triage.
The credit analyst runs financial analysis (debt service coverage, global cash flow, debt-to-income, loan-to-value), collateral analysis, and borrower credit review. The analyst recommendation attaches to the deal with the proposed structure (loan amount, rate, term, amortization, covenants).
The credit officer reviews the package inline with the analyst recommendation, the financial analysis, and the collateral analysis. The officer adds conditions, approves, declines, or routes to loan committee. The decision logs for audit.
For deals above the officer authority threshold the loan committee runs weekly. Strkr generates the committee package automatically. Committee members review ahead of the meeting. The committee discussion notes and the vote log for audit.
Post-approval the closing checklist runs with 24 items (approved commitment letter, title insurance, UCC-1 filings, personal guarantees, assignments, insurance certificates, legal opinions). The closing coordinator works through the list with per-item owner tracking. The loan funds when all items are complete.
Lending AI drafts in the professional lender voice with the vocabulary of credit (DSCR, LTV, DTI, global cash flow, covenant, event of default, collateral). Strkr AI learns the voice from the first 20 approved documents.
For approved loans Strkr AI drafts the commitment letter with loan terms, conditions, fees, closing requirements, and expiration date. The loan officer reviews and sends to the borrower.
For declined loans Strkr AI drafts the decline letter with the adverse action notice required under Regulation B (ECOA) with the reasons for denial. The compliance officer reviews before send.
For document requests Strkr AI drafts the chase email in the professional lender voice listing the missing items and the deadline. The officer reviews and sends. Document completion rate at day 14 lifts from 42 to 72 percent with the chase cadence.
For loan committee review Strkr AI drafts the executive summary with the loan structure, the borrower background, the financial highlights, the collateral position, and the credit recommendation. The committee reads the summary before diving into the full package.
For portfolio accounts with financial covenants Strkr AI monitors the quarterly financial submissions and drafts the warning alert when a covenant is trending toward breach. The relationship manager intervenes before the covenant breach.
At 180 days before loan maturity Strkr AI drafts the renewal outreach with the current loan performance, the recommended renewal structure, and the proposed meeting time. The relationship manager approves and sends.
Most commercial lenders use nCino, Baker Hill, Jack Henry, Fiserv, or a general CRM plus loan origination system. The comparison below is Strkr versus the typical lending stack.
| Feature | Strkr | nCino, Baker Hill, or general CRM plus LOS |
|---|---|---|
| Loan application as first-class object | With type, documents, decision workflow. | LOS-specific; CRM-separate. |
| Document checklist per loan type | Native with chase cadence. | LOS native; CRM blind. |
| Credit workflow inline | Analyst recommendation, officer review. | Email approvals. |
| Loan committee package generation | Native from deal record. | Manual PDF stapling. |
| Closing checklist with owners | Workflow with per-item tracking. | Paper or checklist printout. |
| Portfolio renewal cadence | 180, 90, 30-day with AI narrative. | Report-only. |
| Covenant monitoring alerts | AI-drafted warnings. | Manual quarterly review. |
| SBA documentation workflow | Native with form tracking. | Varies by vendor. |
| Flat per-seat pricing | Starter 29, Pro 59, Scale 119. | 85 to 400 per user depending on tier. |
The playbooks below are patterns Strkr onboarding sees across commercial lending deployments.
A 14-rep community bank commercial lending team ran deals on email and PDF attachments with a side spreadsheet for the pipeline. Strkr onboarding ran a 18-business-day migration with the loan workflow shipped on day one. Document collection cycle compressed from 32 to 14 days. The loan committee package generated in minutes instead of two hours per deal.
A 48-rep SBA 7(a) lender ran a tangle of SBA form documents and a legacy CRM that could not model the SBA workflow. Strkr onboarding ran a 32-business-day migration with the SBA documentation workflow shipped. Form completion accuracy lifted from 72 to 96 percent. SBA submission rejections dropped by 68 percent.
A 90-rep regional commercial bank ran nCino at 240 per user per month for the loan origination system and a separate CRM for pipeline. Strkr onboarding ran a 42-business-day migration consolidating pipeline, document collection, and credit workflow with nCino retained for the servicing. Annual software spend dropped 180,000. Deal cycle time compressed by 32 percent.
A 24-rep equipment finance company ran deals in a custom-built access database. Strkr onboarding ran a 24-business-day migration with the equipment finance pipeline shipped. Equipment finance has shorter cycles than commercial real estate so stage-specific aging rules tuned to the 11-business-day median cycle.
A 180-rep multi-state commercial bank ran Baker Hill plus a general CRM at a combined 420,000 annually. Strkr onboarding ran a 60-business-day migration consolidating the stack with Baker Hill retained for the credit methodology engine. Annual software consolidation saved 180,000. Loan committee attendance preparation time dropped by 42 percent across the bank.
Book a 30 minute call. We will walk through the loan workflow, the credit routing, and the portfolio renewal cadence with your actual loan types and LOS.
Strkr integrates with nCino, Baker Hill NextGen, Jack Henry Episys, Fiserv Premier, Fiserv Signature, Finastra Loan IQ, Encompass by ICE Mortgage Technology, LendingPad, and custom LOS platforms through the standard webhook spec with HMAC signing and the published OpenAPI spec. The typical pattern is Strkr handling pipeline, document collection, credit workflow, and loan committee with the LOS retained for servicing, boarding, and payment processing. For nCino the integration lands in a sprint of three to five weeks. For Baker Hill the integration lands in two to three weeks.
Strkr tracks SBA documentation as a dedicated workflow with the required forms (SBA Form 1919 Borrower Information, SBA Form 912 Statement of Personal History, SBA Form 148 Guaranty, SBA Form 1050 Settlement Sheet), the business tax returns and personal tax returns required, the submission tracking to SBA via E-Tran, and the SBA correspondence inline. For PLP (Preferred Lender Program) lenders the delegated authority tracking surfaces. For GP (General Program) lenders the SBA review correspondence integrates. The audit log captures every SBA form submission for compliance.
Yes. For portfolio accounts with financial covenants Strkr tracks the covenant terms (minimum DSCR, maximum leverage, minimum net worth, minimum liquidity) and the quarterly financial submission schedule. On submission the system calculates covenant compliance and flags accounts trending toward breach. Strkr AI drafts the warning alert for the relationship manager. For covenant breaches the workflow routes to credit for the waiver or modification decision. The audit log captures every covenant calculation.
When a deal moves to loan committee stage Strkr generates the committee package automatically from the deal record. The package includes a loan summary (one page), borrower background (business history, principals, guarantors), financial analysis (3-year financial statements, trend analysis, DSCR calculation, debt schedule), collateral analysis (collateral description, LTV, appraisal summary), credit recommendation (proposed structure, conditions, risk rating), and recommended committee decision. The package exports to PDF or stays as a committee binder in Strkr with inline commenting.
Strkr prices flat per seat at 29 on Starter, 59 on Pro, and 119 on Scale per user per month, with a 14-day trial. For a 48-rep lending team on Pro that is roughly 2,832 per month plus the 49 AI Enhancement add-on. nCino runs 180 to 400 per user per month depending on tier. Baker Hill NextGen runs 150 to 300 per user per month. Jack Henry Episys CRM runs 85 to 180 per user per month. Strkr sits well below the lending-focused platforms on seat price with the AI capability included.
Strkr is HIPAA compliant with a BAA available on request, GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. For commercial lenders under FFIEC guidance, OCC bulletins, and state banking regulatory frameworks the audit log retention tunes to the regulatory requirement. For ECOA Regulation B compliance (adverse action notices on denied credit) the AI-drafted decline letters follow the required disclosure structure with compliance officer review before send. For Bank Secrecy Act and anti-money-laundering (BSA/AML) the audit log captures the beneficial ownership documentation and the ongoing monitoring events. Integration tokens live in AWS KMS. SSO is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers.
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