How can you turn your data and AI initiative into a solution that meets your goals and requirements?
HMS supports you throughout assessment, design, and implementation:
- Assess opportunities and prioritize initiatives
- Establish the right data and platform foundations
- Develop and integrate analytics and AI solutions
- Modernize applications and systems
- Embed governance and validation from the outset
In Focus
Making Agentic AI Enterprise-Ready
What It Takes to Make Agentic AI Work in the Enterprise
Agentic AI is changing more than just tools. It is reshaping workflows, architectures, and delivery models. HMS helps companies integrate Agentic AI securely into existing IT environments and business processes and put it to productive use – with AI-friendly architectures, proven software engineering practices, and clear governance for production environments.
- Navigate a rapidly evolving AI landscape
- Build Agentic AI solutions that fit your enterprise IT environment
- Combine architecture, engineering, and governance
- Integrate AI securely instead of creating isolated tools
- Deliver results that can be validated in regulated and complex environments
- Build the skills teams need to use AI securely and productively

Automated Market and Competitive Analysis with Agentic AI
HMS developed an Agentic AI solution for a global pharmaceutical company that automatically collects and reviews market and competitive intelligence and makes it available for reports and ad hoc queries.

Application Modernization with GenAI: From SAS to Python on AWS
A leading insurance group modernised a core SAS application on AWS. HMS designed the target architecture and migration approach, implemented the modernisation, and evaluated the use of GenAI to support the migration from SAS to Python.

Text-to-SQL: Retrieve Company Data via Chat
HMS developed a Text-to-SQL solution for an international financial institution that translates quantitative business questions into database queries and presents the results in an interactive format.









