A general way in how startups grow that most of us would have experienced first-hand is that we start with a monolith, and then as we scale to more and more businesses, we move to microservice architecture and start with platform thinking which helpsavoid redundant work and encourages long-term, collaborative thinking.
Same is the case here at Ninjacart, since the end of 2021, an AgriTech company focused on Supply chain automation, which hassince expanded into Credit and Commerce verticals. And as we ventured into the different verticals, we took a step back andbrought Platform thinking into our cognitive arsenal.
As we are experimenting, we often start with manual processes and then move into automating redundant tasks. At the time ofintroduction of Credit as a business, Limit setting for a single application took anywhere between 7-21 days. This was primarilyattributed to delays in document collection due to availability of the customer / coapplicant or otherwise. We then streamlined thisinto a easy to use onboarding flow which reduced this timeline to 2-4 days at max.
We began by profiling the roles involved in the credit risk process to understand their workflows and identify manual, repetitivetasks that are prone to errors. Our goal was to automate these tasks through the introduction of Agentic AI. However, beforediving into full-scale Agentic AI implementation, we focused on first establishing the foundational building blocks necessary tosupport such automation.
Our approach
As any good engineer would approach a complex problem, we broke it down into parallelizable building blocks to help achievethe overall goal as efficiently as possible.
The following are the 3 building blocks that we consider very important
1, Knowledge Graph with KGE (Knowledge Graph Embedding) support
2, Aventra – A search and retrieval system
3, Rule Book