Add AI Services to Your Existing Program

AI services can add useful capabilities to an existing digital health program, including content generation, summarization, classification, analysis, conversational interaction, decision support, and task assistance. The technical connection to an AI service can be relatively straightforward. Operational use introduces additional requirements because the program must determine what the AI is permitted to do, what information it can access, when it should participate, what requires human involvement, how its output affects subsequent actions, and how that participation is monitored.

Give AI a defined operational role

Stratoum treats AI as a participating capability within the program rather than as the authority controlling the operation. An AI service can be invoked at a defined point in a workflow, receive the information appropriate to its task, return an output, and allow deterministic program logic to determine what happens next. Permissions, workflow state, governance rules, and human review can remain outside the AI service itself.

This structure allows different forms of AI to participate according to their appropriate roles. One service might summarize an interaction, another classify an incoming request, and another assist a user conversationally. Each can operate within defined boundaries while the broader program retains control of operational state and execution.

Integrate AI with the rest of the program

Useful AI often depends on context from other capabilities. It may need information from an application, device, workflow, external service, or program record, and its output may need to reach people or systems elsewhere in the operation. Stratoum coordinates those interactions through the same operational foundation used for other participating capabilities, allowing AI to become part of established workflows rather than a separate operating environment.

Change AI services without restructuring the program

AI technology is evolving quickly, and programs may want to change models, providers, or specialized services as capabilities and requirements evolve. Keeping operational authority outside the AI service reduces the architectural dependency created by any individual provider. Our engineering team can implement the integrations, AI agents, data interfaces, or specialized functionality required while maintaining the program's defined controls.

This provides a structured way to introduce AI capabilities into an operating digital health program while preserving governance, visibility, technology choice, and control over how the program operates.