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 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 assurance 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 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 delivery 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 transactions 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 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 delivery 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 business development 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 tax 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 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 commerce 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 customer experience 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 merchandising 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 merchandising 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 commercial 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 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 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 store 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 supplier operations 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 commerce 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 ai engineering 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 support 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 data 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 sre 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 product 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 product 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 engineering 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 sales 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 security 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 engineering work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: RAG + governed enterprise search