
Loan Management System
SaaS
Fintech
Role: Lead Product Designer · 2025
Enabling businesses to run lending operations without heavy engineering or operational friction
View live product
TL;DR
Most loan platforms are powerful but rigid. Launching or iterating on a loan product often requires long engineering cycles and forces businesses into predefined structures.
Caltos was built to give business and operations teams direct control over loan configuration and management, without introducing operational risk.



A single dense configuration screen would have made errors inevitable.
A guided setup was necessary for non-technical teams configuring live loan products.
Loan creation was designed as a step-by-step flow that breaks complex configuration into clear, sequential decisions. This reduced setup errors, lowered cognitive load, and allowed teams to ship loan products without engineering support


Surfacing eligibility only at rejection breaks trust. Eligibility needed to be understood before commitment, not after failure.
Caltos treats eligibility as a flexible system rather than a fixed rule set, supporting different lending models (civil service, private sector, government workers). This allows users to understand their standing early and enables businesses to responsibly offer alternatives when appropriate.


Loans do not end at disbursement. Any system that treats repayment as an afterthought creates operational debt.
Repayment structure and frequency are defined during product setup, preventing downstream bottlenecks. Integration with direct debit services improves collections and simplifies reconciliation across loan products.


In lending systems, small shortcuts lead to large losses.
Caltos embeds guardrails directly into the flow:
These controls reduce risk while keeping operations predictable.


Adoption was driven by:
The system remained powerful without becoming fragile.
The first version of Caltos was too narrowly scoped. That constraint limited adoption.
Expanding the system to support broader lending models became the most important shift in the product’s growth. Designing for real-world behaviour — including misuse and misunderstanding — proved more critical than designing for ideal users.