For Non-Bank Lenders
One set of lending facts your whole firm works from
Your loan system, CRM, bank feeds, and partner files each tell a different story. StarterStack builds and runs the shared data layer between them — so reports, reconciliations, and AI agents all use the same approved numbers.
Your team reviews the rules and makes the final call.
Bring one recurring report. No files are needed before the call.
The Gap
Your team knows the book. Your systems don't.
Your lending system, spreadsheets, bank data, and partner files each describe the same book a little differently. When they disagree, your team reconciles by hand — and it gets harder as the business grows.
- A capital partner asks for a new data tape
- The team rebuilds definitions and checks under a deadline.
- The portfolio grows
- Each report takes more exports, fixes, and follow-up.
- A system or servicer changes
- Old spreadsheet rules stop matching the source.
- A key employee is unavailable
- The report logic is trapped in one person's process.
The data exists. The repeatable process does not.
The Model
One model for every deal, payment, partner, and rule.
Your report pulls from many systems that each describe the same loan a little differently. StarterStack maps those sources into one shared model, so every number has a single agreed meaning.
- Deals
- Each loan or advance, with the fields your team actually reports on.
- Payments
- What was expected, what arrived, and what is still open.
- Partners
- The borrowers, brokers, and capital partners tied to each deal.
- Rules
- The agreed definitions and checks that decide what each number means.
Define it once. Every report and workflow reads from the same model.
What Changed for One Growing Lender
From scattered reports to one reporting foundation.
The lender's reporting and analysis lived across its lending system, Excel, Google Sheets, and separate reviews. StarterStack helped build one shared data master and the rules behind it.
| Before | With StarterStack |
|---|---|
| Quarterly or annual reporting | More frequent reporting |
| Data split across systems and spreadsheets | One shared data foundation |
| No one able to own the full data job | Ongoing data and technical support |
Supporting change: 20–30 → 130–140 shared fields
The customer did not measure exact time saved, cost saved, or causal growth impact. We do not claim those results.
Downstream
Build the data layer once. Use it across the business.
The same checked data foundation feeds the outputs your team already depends on — without rebuilding the definitions each time.
- Pitch Decks
- Investor updates, borrowing-base reports, and portfolio summaries from one shared foundation.
- Automations
- Recurring data jobs that run on a schedule instead of by hand.
- Alerts
- A flag when something looks off with the portfolio or a deal — a missing, stale, or conflicting value — before it reaches an investor.
- AI
- AI that prepares first-pass mappings, checks, and issue summaries for your team to approve.
Your team reviews key changes and makes the final call.
A Worked Example
One missed payment. One approved rule. One clear next step.
Maturity date does not match
Loan: #4182
| Source | Value | Updated |
|---|---|---|
| Executed extension PDF | March 31, 2027 | Today, 8:42 a.m. |
| Servicing spreadsheet | June 30, 2027 | Today, 7:55 a.m. |
- Reports affected
- Monthly portfolio report · Maturity watchlist
- Owner
- Loan Operations
StarterStack shows the source, the conflict, and the reports that will change. Your team approves the business decision.
Sample workflow using fictional data.
How It Works
Start with one report your team rebuilds by hand.
Collect
We pull the agreed files and records from the systems your report uses.
Lending system · Servicing file · CRM · Spreadsheet · DocumentsCheck
We write down what each important number means, then find missing values, stale data, and source conflicts.
Source · Meaning · Rule · OwnerReport
Your team reviews important changes. We prepare the report and keep the approved rules for the next cycle.
Open issue → Customer review → Ready for ReviewStart with one report. Add more only after the first process works.
Request a DemoWhy StarterStack
The hard part is keeping the definitions true.
A dashboard shows numbers. A consultant leaves a document. A generic AI tool answers one prompt. StarterStack keeps the definitions, sources, and checks true from one cycle to the next — so each accepted report leaves behind work your team can use again.
| This cycle creates | The next cycle starts with |
|---|---|
| An approved field meaning | One shared definition |
| A source map | Known source data |
| A data check | The same problem caught again |
| An issue owner | A clear next step |
| A report rule | Less rebuilding |
The report is the first output. The saved rules are the operating asset.
Control and Security
Keep the systems you trust. Add the shared layer they are missing.
| StarterStack owns | Your team owns |
|---|---|
| Agreed source collection | Access to customer-controlled sources |
| Field and rule documentation | Approval of business definitions |
| Data checks and issue tracking | Materiality, accounting, and credit decisions |
| Draft report preparation | Final review and sign-off |
| Change log and next-cycle updates | Timely response to escalated issues |
We do not replace your lending system, servicer, fund administrator, accountant, or credit team.
We agree on the minimum data needed, who can access it, and where it is processed before any work begins. Every change is logged so a number can be traced back to its source. SOC 2 audit in progress.
Your Workflow Assessment
Bring us the report your team still rebuilds by hand.
In 30 minutes, we will map the report, the sources behind it, the checks your team performs, and the step that creates the most work or risk. You will leave with the smallest useful first step — or an honest answer that StarterStack is not the right fit.
| 7 minutes | What the report is and who uses it |
| 10 minutes | Where the data comes from and how the team checks it |
| 8 minutes | The step that creates the most work, delay, or risk |
| 5 minutes | The smallest useful first project — or a no-fit decision |
A good fit when
- The report repeats.
- It uses more than one source.
- A leader, operator, or capital partner relies on it.
- One person can approve definitions and source conflicts.
Not a fit when
- You want a ready-made dashboard with no setup.
- You want general AI advice.
- You want a replacement for your lending system.
- You want someone else to make accounting or credit decisions.
Free first review. We scope and price any work after the call.
Next Step
Review one report with us.
Bring one recurring report tied to growth, a capital request, or a reporting deadline. We will map the data, checks, and ownership behind it.
No files needed. We send preparation notes with the calendar invite.
Common Questions
A clear place to start.
Is StarterStack a new lending system?
No. You keep the lending, servicing, CRM, and reporting tools you already use. StarterStack runs the data work between those sources and the reports your team needs.
Why not use Claude or ChatGPT?
You can use them to analyze a file or draft a report. StarterStack runs the full process: sources, definitions, checks, open issues, approvals, delivery, and the rules needed next time.
Does AI change our data by itself?
No. AI helps prepare mappings, checks, and first-pass issue summaries. Your team approves important definitions, source conflicts, and final outputs.
Do you replace our fund administrator or servicer?
No. Those providers keep their current jobs. StarterStack helps make the operating data across your systems and files usable for agreed reports and workflows.
What do you need before the assessment?
Bring the report name, who uses it, and a rough list of the systems or files behind it. Do not send sensitive files before the call.
What happens after the assessment?
If there is a fit, we propose a bounded first project for one report or workflow. The proposal defines sources, owners, checks, timing, customer responsibilities, and acceptance criteria.
How do you handle sensitive data?
We agree on the minimum data needed, who can access it, where it is processed, and which decisions require customer approval before work begins.