Overview
A leading SaaS platform in the lending space partnered with AIFusionX to streamline and automate its loan processing workflows across multiple teams and systems.
With hundreds of applications processed weekly, the goal was to reduce manual workload, improve operational efficiency, and accelerate turnaround times—without compromising accuracy or compliance.
Problem
Generic quotes estimate screens. High-ticket work fails when nobody maps buyer, seller, or staff journeys or who owns the code after launch.
The solution included:
- Quotes estimate screens
- No code-ownership plan
- Junior bench on a high-stakes CRM
live products referenced here
If you need a theme tweak, this engagement model is the wrong fit.
Approach
Discovery of journeys and systems of record. Modular architecture. Weekly slices. Security review on roles and integrations. You own the code.
Typical path:
- Workflow-first discovery
- Modular architecture
- Weekly visible slices
Retainers cover iteration, AI playbooks, and ops tooling after launch. Founder and delivery lead stay in the thread.
Outcome
Operators get a product they can staff and extend — marketplaces, industry CRMs, and agents with human handoff.
The results were immediate and measurable:
Bhilai · shipping globally
+
full code ownership
First-hand delivery notes from Aanandi Technosoft (Bhilai). Reviewed by founder Yuvraj Singh Tamrakar and delivery lead Tushar Sahu. Last updated 26 Sep 2026. Talk to the builders · +91 9713 846 846.
Before vs After
The Difference Automation Makes
Manual Process
- Theme or plugin mashup
- Vendor lock on the bot
- Rewrite at city two
Automated Workflow
- Products in market
- You own the repo
- Founder + delivery lead in thread