LangGraph Case Study: RUNNINGHILL Builds Stateful AI Agent for Insurance Quote Workflow

LangGraph Case Study: RUNNINGHILL Builds Stateful AI Agent for Insurance Quote Workflow

Executive Summary To solve a complex client requirement for an insurance quote, RUNNINGHILL embarked on a 6-month project, beginning with a 2-month deep-dive to build a foundational agentic workflow. Mastering the LangGraph SDK, our team successfully built a stateful, reliable proof-of-concept that is now being expanded for production. This initial phase, using a JSON-based “collection …

Automating Error Analysis with On-Prem AI

From R&D to RAG: Automating Error Analysis with On-Prem AI

Executive Summary To solve internal challenges around AI data privacy and limited context windows, RUNNINGHILL championed a developer-led R&D initiative. The project produced a production-ready AI agent, “Project Raggedy Rag,” that runs 100% locally, ingests entire codebases for full context, and automates error analysis and ticket creation. This zero-cost POC, built with open-source tools in …

AI-Powered Meal Planning: Hackathon Success

Transforming the eternal question of ‘What will we eat?’ into a delightful discovery with CulinaryCognition—where your pantry meets our technology to create meals that inspire. Challenges: AI Model Training Challenges: Our journey began with the challenge of training AI models due to limited infrastructure. Initially, we leveraged Google Colab’s Nvidia T4 GPUs for their tensor …

Transforming Math Tutoring with EdTech Bots

Our collaborative endeavour aimed to streamline school finances with efficient fee collection, ensure engaged learning with AI-driven blended education, support educators with robust professional development tools, and monitor school performance with real-time insights—all in one accessible, offline-ready Student Information System (SIS) solution. Challenges: Implementation: Results: These strategic efforts have transformed the tutoring bot solution, fostering …