Technology
Technology components used across solution categories, described as reusable building blocks.
Platform baseline
The platform is implemented on Microsoft Azure. AI capabilities can be delivered using Azure AI Foundry (for model development and evaluation) and Azure OpenAI Service (for hosted access to OpenAI models on Azure).
- Hosting and deployment
- Static web delivery and API-backed features, with environment-specific configuration.
- AI model access
- Azure OpenAI Service, plus conventional ML models where appropriate.
- Data and evaluation
- Dataset versioning, validation, and test sets; repeatable evaluation runs.
- Governance
- Model documentation, audit logs, and review workflows aligned with the pillars below.
Core technology
Platform pillars
Explainable AI
Explanation outputs, review workflows, and evidence that supports model output interpretation.
Model Training & Data
Data preparation, evaluation, versioning, and lifecycle controls for models and datasets.
Security & Privacy
Access control, encryption, logging, and data-handling controls for AI-enabled systems.
Compliance & Ethics
Governance artifacts and processes that support internal controls and regulated use cases.
Related
CTA
Contact Maloni to discuss requirements, constraints, and next steps.