
Automated insight extraction using advanced AI models
The system scans large volumes of field notes, research data, and clinical reports to extract key insights for faster reporting, decision-making, and compliance.
Increase in efficiency for Medical Science Liaisons
25%Hours saved per week on manual CRM data processing
20Reduction in market access budget by eliminating redundant processes
35%AstraZeneca’s Medical Affairs teams worked with a growing volume of complex, unstructured medical data — from clinical trial protocols and patient observations to meeting notes with healthcare professionals. Processing this information manually slowed down their daily work and delayed access to critical insights.
Relevant Software consultants were brought in to design an AI solution that could turn raw, fragmented data into structured, compliant, and ready-to-use reports.
The system needed to process three main types of data:
By removing bottlenecks in data processing, the new solution must give Medical Affairs teams quicker access to key information and a better view of their research and market activities, helping them react faster and work more efficiently.
Director, Bio-pharma medical evidenceWe received a precise and compliant AI system that significantly improved our Medical Affairs analytics. Their expertise in natural language processing and secure data management was essential to the project’s success.

The system scans large volumes of field notes, research data, and clinical reports to extract key insights for faster reporting, decision-making, and compliance.

The solution runs on Google Cloud to ensure fast and stable access to data. It supports AstraZeneca’s large teams, global operations, and growing volumes of medical information.

The system protects sensitive data with advanced encryption and gives each user access only to the information they need for their role. This reduces the risk of data leaks, helps prevent human error, and ensures full compliance with healthcare regulations like GDPR and HIPAA.

The AI solution easily works with large amounts of data from different teams and departments, helping AstraZeneca scale without losing speed or accuracy.
40% faster preparation
of medical materials
AI automated routine data search and document preparation, allowing MSLs to focus more on communication and strategic tasks.
35,000+ records
processed automatically
The system collected, checked, and structured scattered data from different sources, removing manual copy-paste work for Medical Affairs teams.
25% fewer
data errors
Accurate and clean data helped teams create high-quality reports and presentations for doctors and regulators with greater confidence.
✓ Built an advanced AI system using ChatGPT and Llama-2
✓ Fine-tuned models for Medical Affairs data interpretation
✓ Deployed the solution on Google Cloud for rapid processing
✓ Integrated encryption, access controls, and regulatory safeguards
Director, Bio-pharma medical evidenceOur partner demonstrated deep expertise in AI, which resulted in the development of a highly valuable product for our company. With so many businesses attempting to enter the AI space, finding truly skilled experts made all the difference. After deploying the project, we achieved exceptional value within a relatively limited budget. The solution streamlined workflows and unlocked new ways of leveraging insights we hadn’t explored before. I highly recommend their team—their work stands out on a global scale.
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