AI & data intelligence
Choose the model and data approach around the task: retrieval, focused language models, machine learning or computer vision.
- Model evaluation
- Knowledge retrieval
- Data pipelines
- Human review
Technology approach
The right technology for the right problem.
Architecture and tools should serve the product goal, the operating environment and the people who use the system.
Engineering layers
Built as a connected whole.
From data and intelligence to interfaces and operations, each layer needs to work with the rest.
Application engineering
Build usable, maintainable interfaces and services for the people and processes the product supports.
- Web applications
- APIs and services
- Design systems
- System integration
Connected experiences
Deliver a coherent experience across customer, employee and on site touchpoints.
- Mobile apps
- Kiosk interfaces
- Responsive web
- Workflow design
Cloud & operations
Plan deployment, monitoring and evolution as part of the product, not as an afterthought.
- Cloud architecture
- Automation
- Observability
- Performance
Data foundations
Make business data more useful through thoughtful structure, access and integration.
- Data modeling
- Reporting
- Pipelines
- Existing systems
Security by design
Define appropriate access, review and reliability controls for the data and workflow involved.
- Access control
- Privacy considerations
- Auditability
- Quality checks
Plan your build