The loan servicing team was manually contacting borrowers to resolve missed payments — a time-consuming process prone to inconsistency and tracking issues. Borrowers often ignored calls or emails, and agents lacked visibility into which messages had been delivered or acknowledged.
We needed to design and launch a scalable text messaging platform that would streamline outreach, ensure compliance, and provide a clear escalation path — all while fitting seamlessly into the agents’ existing workflows.
Our goal was to streamline borrower communication for the loan servicing team by launching a compliant, scalable messaging platform. We focused on improving team efficiency, timely message, automated-messaging and borrower responsiveness all while reducing manual overhead.
We designed and launched an integrated text messaging interface within the LMS, powered by Twilio’s API. This solution:
I followed a collaborative, iterative process involving close feedback loops with the servicing team, compliance stakeholders, and engineering. Each step was aimed at simplifying workflows while ensuring the solution remained compliant and easy to adopt.
Arivo sought to streamline customer communication by integrating text messaging directly into its Loan Management System (LMS). The goal was to replace a third party tool, which had multiple inefficiencies, with a seamless, in-system messaging tool powered by Twilio.
So Arivo management decided to integrate Twilio in our Loan Management System. Twilio provides only the API and we designed and launched the user interface for the text messaging tool.
Based on the analysis we chose text messages to be residing inside an account.
We listed all the features and functionality and completed the important/difficulty matrix to find the features. Some of them are listed below.
Based on user insights and business goals, we mapped out a user flow outlining key features and functionalities.
Wireframes were designed for each feature and function and presented to the user group for feedback. Below are a few samples.
Tested prototypes with loan servicing agents and iterated based on feedback. Adjusted message tone, timing UX, and escalation patterns. Ensured agents could preview and confirm before sending.
Provided detailed handoff specs and collaborated on QA and edge-case scenarios (e.g. failed message delivery, borrower opt-outs). Worked cross-functionally to ensure smooth launch.