200 structured use cases map business problems to architecture patterns, model capabilities, data requirements, risks and measurable KPIs. The taxonomy is designed for opportunity discovery, R&D framing and programme architecture.
Applied AI can augment clinical operations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Realtime voice model + workflow tools + escalation
Applied AI can augment revenue cycle work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Document AI + extraction + grounded reasoning
Applied AI can augment clinical research work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Deep research agent + evidence retrieval + citation controls
Applied AI can augment clinical governance work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Policy engine + model registry + continuous evaluation
Applied AI can augment technology work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Repository-aware coding agent + CI/CD controls
Applied AI can augment operations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: RAG + governed enterprise search
Applied AI can augment diagnostics work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Multimodal model + enterprise workflow integration
Applied AI can augment clinical operations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Document AI + extraction + grounded reasoning
Applied AI can augment patient experience work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Realtime voice model + workflow tools + escalation
Applied AI can augment revenue cycle work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Tool-using agent + human approval
Applied AI can augment hr operations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: RAG + governed enterprise search
Applied AI can augment hr operations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Realtime voice model + workflow tools + escalation
Applied AI can augment governance work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Policy engine + model registry + continuous evaluation
Applied AI can augment employee relations work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Tool-using agent + human approval
Applied AI can augment learning work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Deep research agent + evidence retrieval + citation controls
Applied AI can augment people analytics work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Deep research agent + evidence retrieval + citation controls
Applied AI can augment people management work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Document AI + extraction + grounded reasoning
Applied AI can augment talent acquisition work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Document AI + extraction + grounded reasoning
Applied AI can augment talent work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Recommendation/personalisation engine + generative interface
Applied AI can augment workforce planning work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Predictive ML + LLM explanation layer
Applied AI can augment actuarial work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Deep research agent + evidence retrieval + citation controls
Applied AI can augment distribution work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Tool-using agent + human approval
Applied AI can augment claims work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Document AI + extraction + grounded reasoning
Applied AI can augment claims work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Realtime voice model + workflow tools + escalation
Applied AI can augment risk work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Predictive ML + LLM explanation layer
Applied AI can augment compliance work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Policy engine + model registry + continuous evaluation
Applied AI can augment technology work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Repository-aware coding agent + CI/CD controls
Applied AI can augment risk engineering work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Multimodal model + enterprise workflow integration
Applied AI can augment customer service work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: RAG + governed enterprise search
Applied AI can augment underwriting work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: Deep research agent + evidence retrieval + citation controls