From AI workshop to production chatbot in under a year

<12 months From first workshop to production deployment
Live MCP Chatbot with secure access to Teradata
Enterprise-wide Scaling across departments

はじめに

概要

AI-delivered production LLM chatbot in under 12 months

A retail bank in Asia partnered with Teradata on a structured AI transformation journey—beginning with hands-on in-database AI workshops in late 2024 and culminating in the production deployment of an LLM-powered chatbot providing secure, live access to Teradata data by late 2025. Each phase built confidence and capability for the next, demonstrating how deliberate progression from skills-building to advanced AI integration creates durable enterprise transformation.

チャレンジ

AI ambition without a clear path from workshop to production

Like many financial institutions, this retail bank recognized the potential of AI but struggled to translate ambition into production deployments at pace. The gap wasn't motivation; it was a clear, structured path from capability building to business-impacting AI.

Engineering teams needed hands-on experience with in-database AI to build platform confidence. Data science teams needed a bridge to more advanced AI integration. And the business needed a tangible, customer-facing outcome to justify the investment and build internal momentum.

Overhead view of business team analyzing data on digital tablet

ソリューション

Phased AI enablement, from workshops to a live chatbot

Teradata guided the bank through a deliberate three-phase journey. In late 2024, engineering teams participated in hands-on workshops, building real in-database AI pipelines using SQL and native machine learning functions—experiencing Teradata's performance and scalability firsthand. By mid-2025, the bank's data engineering and data science teams were introduced to the Teradata MCP server, shifting the conversation from optimization to new intelligence delivery. By late 2025, an LLM-powered chatbot was live in production—embedded within the retail banking operation and providing secure, direct access to Teradata data. Each phase built on the last, creating compounding capability and organizational confidence.

Male worker showing his work on a screen to a female colleague

結果

Higher productivity, faster responses, and an AI foundation now scaling enterprise-wide

The production chatbot now serves as an intelligent first point of engagement in the retail banking operation—automating routine interactions, surfacing insights, and freeing teams to focus on higher-value strategic work. Response times are faster, productivity is measurably higher, and the organization is preparing to scale the same capability across additional departments in 2026. What began as a single workshop is now an enterprise-wide AI foundation—built deliberately, phase by phase, in under a year.