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 asset management 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 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 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 trading 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 field 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 grid 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 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 development 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 safety 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 customer service 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: Tool-using agent + human approval
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: Realtime voice model + workflow tools + escalation
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 financial crime 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 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 compliance 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 compliance 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 corporate banking 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 finance 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 treasury 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 social services 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 citizen services 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 digital services 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 public works 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 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 policy 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 procurement 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 records 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: Policy engine + model registry + continuous evaluation
Applied AI can augment legal & policy 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