# From prototype to production-ready agentic AI solution: A use case from Grid Dynamics

DevFeed: [From prototype to production-ready agentic AI solution: A use case from Grid Dynamics](<https://devfeed.tech/articles/from-prototype-to-production-ready-agentic-ai-solution-a-use-case-from-grid-dynamics-35940.md>)

Original publisher: [Read original article](<https://temporal.io/blog/prototype-to-prod-ready-agentic-ai-grid-dynamics>)

Author: Eugene Steinberg

Published: 2025-09-29T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Langgraph](<https://devfeed.tech/topics/langgraph.md>), [Error Handling](<https://devfeed.tech/topics/error-handling.md>), [retry](<https://devfeed.tech/topics/retry.md>), [Redis](<https://devfeed.tech/topics/redis.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [case-study](<https://devfeed.tech/tags/case-study.md>), [community](<https://devfeed.tech/tags/community.md>), [error-handling](<https://devfeed.tech/tags/error-handling.md>), [langgraph](<https://devfeed.tech/tags/langgraph.md>), [production](<https://devfeed.tech/tags/production.md>), [redis](<https://devfeed.tech/tags/redis.md>), [retry](<https://devfeed.tech/tags/retry.md>), [state-management](<https://devfeed.tech/tags/state-management.md>)

## AI overview

A Grid Dynamics case study describes building a deep research agent for a Fortune 500 manufacturer. The team used LangGraph initially, then migrated to Temporal after encountering challenges with error handling, retries, state management, caching, scaling, custom workflows, and human-in-the-loop interactions.

## Source excerpt

What happens when a promising AI agent prototype hits the high stakes of a prod environment? Grid Dynamics found out the hard way.