Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Discover how ani.tech, a financial services platform, completely rebuilt its legacy stack from the ground up to create an AI-native platform using MongoDB. Founder Samantha McBride explains how shifting to MongoDB allowed them to deploy flexible, AI agent-friendly workforces without forcing clients to restructure their existing data systems. Key highlights from this case study include: Massive Efficiency Gains: ani.tech's first pilot customer, Octopus Mini, successfully shifted 75% of 26 hours of manual effort directly to autonomous AI agents. Data Flexibility: MongoDB provides a seamless layer on top of strict financial data structures, eliminating the need for clients to change their formatting. Enterprise-Grade Security: Credible security features work right out of the box to guarantee protection for strict compliance environments. Rapid Prototyping: Eliminating database migrations and complex schema designs empowers teams to innovate quickly, fail fast, and ship new applications constantly. 00:00 Introduction to ani.tech and the Pivot to Generative AI 00:30 Why ani.tech Chose MongoDB as an AI-Native Foundation 00:47 Massive Efficiency Results With AI Agents 01:05 Scaling in Financial Services Without Restructuring Data 01:23 Building the Orchestration, Guardrails, and Application Layers 01:39 Guaranteeing Enterprise-Grade Security Out of the Box 01:52 Cultivating a Culture to Fail Fast and Iterate Faster 02:11 The Human Element at MongoDB.local Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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