Building Agentic AI Assistants: Lessons from productionising agents in Preclinical R&D @thoughtworks
Building Agentic AI Assistants: Lessons from productionising agents in Preclinical R&D  @thoughtworks
Uploaded November 2025 | Updated September 2026, 2 weeks ago
Learn how Bayer and Thoughtworks built PRINCE, an AI assistant that transforms preclinical R&D. Using retrieval-augmented generation, text-to-SQL, and agent orchestration, PRINCE unifies structured and unstructured data to cut search effort by 90% and automate compliance drafting, all while ensuring trust, traceability, and human oversight.

Speaker info:
Sarang Kulkarni - Developer
Priyalakshmi R - Developer
Bernice M - Data Engineer

thoughtworks.com/xconf
Building Agentic AI Assistants: Lessons from productionising agents in Preclinical R&DWhat does the future of software engineering look like? — Thoughtworks Technology PodcastAI-generated code: What has to be true for us to trust it without looking at it?This Week in AI | 30th April 2026XConf Vietnam 2025 HighlightsEnabling evolutionary database development with database branchingAI as an accelerator in the product development life cycle: product management redefinedAccelerating mainframe modernization using generative AI — Thoughtworks Technology PodcastThis Week in AI | 24th April 2026Themes in Technology Radar Vol.32 — Thoughtworks Technology PodcastThis Week in AI | 28th May 2026Navigating AI opportunities at MYOB — Thoughtworks Technology Podcast
Thoughtworks |

Building Agentic AI Assistants: Lessons from productionising agents in Preclinical R&D

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER