Key Outcomes
- Service abstraction architecture — decomposing monolithic product capabilities into composable, AI-consumable services
- Platform interfaces and contracts — well-defined boundaries, versioning, and governance for internal and external consumers
- AI-ready API design and developer experience — APIs optimised for both human developers and AI agent consumption
- Connector and integration framework — standardised patterns for wearable devices, health data sources, and third-party platforms
- Data normalisation layer — unified data model across heterogeneous devices, wearables, and health data formats
- Implementation roadmap with phased migration strategy and architectural decision records
Tools & Technology
Our Approach
Most health and fitness products were built as applications, not platforms. The features are tightly coupled, the data is locked in silos, and every new integration — wearable, device, partner, AI model — requires custom engineering. Platform transformation changes this by introducing the abstraction, contracts, and normalisation layers that make your product composable, extensible, and AI-ready.
We work across five interconnected layers: service abstraction (decomposing capabilities into well-bounded services), platform interfaces and contracts (defining the boundaries and governance that make services composable), AI-ready APIs and DX (designing interfaces that work for human developers, AI agents, and internal teams alike), connectors and integration workflows (standardising how devices, wearables, and external systems plug in), and data normalisation (creating a unified data model that makes heterogeneous health data queryable and AI-ready).
The engagement runs in three phases: architecture assessment and target state design (weeks one to four), service decomposition, interface design, and data normalisation (weeks four to nine), and implementation, migration planning, and team enablement (weeks nine to twelve).
What's Included
- Current architecture assessment and capability mapping
- Service abstraction design with bounded contexts and domain modelling
- Platform interface and contract design with versioning and governance
- AI-ready API design and developer experience strategy
- Connector framework design for wearables, devices, and health data sources
- Data normalisation layer — unified model across heterogeneous health data
- Integration workflow design and orchestration patterns
- Migration roadmap with phased implementation and architectural decision records