# Building Reliable Agentic AI Systems

DevFeed: [Building Reliable Agentic AI Systems](<https://devfeed.tech/articles/building-reliable-agentic-ai-systems-4424.md>)

Original publisher: [Read original article](<https://martinfowler.com/articles/reliable-llm-bayer.html>)

Author: Martin Fowler (martin@martinfowler.com)

Published: 2026-06-16T12:11:00Z

Content type: article

Language: en

Sources: [Martin Fowler](<https://devfeed.tech/sources/martin-fowler.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [text2sql](<https://devfeed.tech/topics/text2sql.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [AI-generated research reports](<https://devfeed.tech/topics/ai-generated-research-reports.md>), [data](<https://devfeed.tech/topics/data.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [observability](<https://devfeed.tech/topics/observability.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [building](<https://devfeed.tech/tags/building.md>), [case-study](<https://devfeed.tech/tags/case-study.md>), [data](<https://devfeed.tech/tags/data.md>), [drug-discovery](<https://devfeed.tech/tags/drug-discovery.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [information-retrieval](<https://devfeed.tech/tags/information-retrieval.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llms](<https://devfeed.tech/tags/llms.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [production](<https://devfeed.tech/tags/production.md>), [rag](<https://devfeed.tech/tags/rag.md>), [research](<https://devfeed.tech/tags/research.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [safety](<https://devfeed.tech/tags/safety.md>), [sql](<https://devfeed.tech/tags/sql.md>), [technical](<https://devfeed.tech/tags/technical.md>)

## AI overview

This case study describes PRINCE, a cloud-hosted platform developed by Bayer AG with Thoughtworks for pharmaceutical research. It combines Agentic Retrieval-Augmented Generation and Text-to-SQL to help researchers query decades of safety study reports, answer complex questions, and draft regulatory documents. The article focuses on context engineering, orchestration, recovery, observability, transparency, explainability, human oversight, governance, and compliance in production-ready agentic AI systems.

## Source excerpt

One of the most interesting projects my colleagues have done with LLMs has been building a system with Bayer to allow pharmaceutical researchers to query decades of information about studies buried in PDF reports. Sarang Sanjay Kulkarni describes its evolution from keyword-based search to an intelligent research assistant capable of answering complex questions and drafting regulatory documents. more...