Thiga x Merck | Turning AI into Strategic Insight

Sommaire

Context

Merck, a global German pharmaceutical company, conducts cutting-edge research to develop new treatments for chronic and often incurable diseases. Its scientific teams rely on vast and complex data sets to understand the real-world impact of these treatments on patients and to improve clinical decision-making.

In this context, Thiga supported Merck in structuring its Product governance, stabilizing its generative AI solution, and scaling an analytics platform designed to transform patient and caregiver insights into a true strategic asset.

Challenges

Managing data complexity at scale

Unify and validate multiple heterogeneous sources, from physicians and scientific literature to social media, while integrating LLM models with evolving and sometimes unstable behaviors.

Aligning global teams around a shared vision

Balance centralized governance with regional needs to ensure coherence, compliance, and local efficiency.

Securing and stabilizing the generative AI solution

Maintain reliability and performance in a fast-changing technological environment.

Building a clear and shared Product approach

Establish a Product culture within a still-maturing environment, aligning teams around common goals and priorities.

Our approach

01
Expanding the AI analytics product
Developed new use cases through a Qlik dashboard and a Streamlit natural language app, coordinated with the AI platform to deliver a unified experience across products.
02
Driving discovery and user-centered prioritization
Conducted user interviews, mapped use cases, and collaboratively defined key features with R&D, Medical, and Market Access teams.
03
Industrializing AI-powered workflows
Designed automated analysis pipelines (Q&A, summarization, clustering, NER, sentiment analysis), implemented LLM chains, optimized prompting, and monitored performance through LangFuse.
04
Ensuring proactive incident management and transparent communication
Deployed a monitoring and alerting system to anticipate issues and maintain continuous, open communication with users.
05
Defining a long-term vision and migration toward Agentic AI
Contributed to Merck’s strategic roadmap for adopting an Agentic AI platform, ensuring alignment with internal standards and R&D initiatives.

Our impact

Accelerated time-to-insight: report generation accelerated by 4–5x and autonomous access to personalized analyses through natural language queries.
Enhanced clinical and strategic decision quality: faster validation or invalidation of hypotheses through quantitative data and improved integration of patient criteria aligned with regulatory expectations.
Strengthened reliability and Product maturity: significant reduction in debugging time, improved communication with users, and the emergence of a strong Product culture around AI.

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We come from product

We come from Product

Turning AI into a Competitive Advantage at Merck

Context

Challenges

Our approach

Expanding the AI analytics product

Driving discovery and user-centered prioritization

Industrializing AI-powered workflows

Ensuring proactive incident management and transparent communication

Defining a long-term vision and migration toward Agentic AI

Our impact

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