Integrations and API for lending systems
Connect payment rails and internal tools over time — starting from clean operational data inside PesoLend.
Why integrations should follow operations
Many lenders ask for integrations before posting discipline exists. That usually creates duplicate truths: one balance in the loan system, another in a payment dashboard, and a third in a spreadsheet. PesoLend encourages a different order: stabilize borrowers, products, schedules, and repayments first, then connect rails.
See the operational core on features. Reminder and payment stubs are designed so you can plug providers as you formalize channels.
Integration goals we hear most
- Post collections from digital rails without double entry.
- Send due reminders through SMS, email, or WhatsApp providers.
- Export portfolio extracts to finance or BI tools.
- Keep branch and HQ reporting aligned after payments hit.
A pragmatic integration roadmap
Phase 1 — clean source of truth
Migrate open loans carefully, train posting, and confirm PAR definitions. Without this, every integration amplifies bad data.
Phase 2 — outbound notifications
Wire reminder channels so borrowers get dues before collectors chase. Measure whether reminders reduce aging.
Phase 3 — inbound payment posting
Connect payment stubs and reconcile automatically where possible. Keep manual exception queues for mismatches.
Phase 4 — analytics and partners
Export or API-pull for board packs, donor reports, or internal warehouses. Preserve access controls from day one — see security guidance.
API mindset for lenders and IT partners
Treat APIs as contracts: stable identifiers for borrowers and loans, clear repayment events, and idempotent posting where possible. Document who can create tokens and who reviews logs.
Multi-branch operators should involve both IT and operations leads — see multi-branch. Field-heavy teams should map collector workflows first via field collections.
Buyer checklist
Honest scope
We market pluggable stubs and a practical path — not a fantasy that every local rail is live on day one. If a specific provider is a go-live requirement, say so via contact so sequencing stays realistic.
Continue with migration, FAQ, and contact. Log in at /app/login when your workspace is ready.
Data contracts and failure modes
Decide what happens when a payment message arrives twice, arrives late, or cannot match a loan. Build an exception queue humans can clear. Idempotent posting and stable loan identifiers prevent silent double counts.
Document token owners and rotation. Integrations should not grant wider access than a cashier needs. Pair this with security.
Provider selection questions
- Which channels do borrowers already trust?
- What reconciliation files does the provider supply?
- Can you start with reminders before inbound payments?
- Who monitors failed posts each morning?
Operations pages: multi-branch, field collections. Commercial: pricing. Human help: contact.
Reporting extracts without shadow systems
Partners may still want CSV. Provide governed extracts instead of letting every analyst build a private pipeline. Define refresh cadence and who certifies numbers before external sharing.
If you need near-real-time dashboards, pull from stable events after posting is trustworthy. Do not integrate noise. Align with guides and glossary so metrics names stay consistent.
- Borrower and loan identifiers documented.
- Repayment event fields documented.
- Error codes mapped to human queues.
- Access tokens rotated on a calendar.
Keep humans in the loop
Automation without an exception desk creates silent portfolio damage. Staff every integration with a named reviewer for unmatched payments and failed notifications.
Start small with one reminder channel or one payment rail. Expand only when the exception queue stays healthy for several weeks.
- Daily unmatched payment review.
- Weekly failed notification review.
- Monthly token and permission review.