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 contracts 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 litigation 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 transactions 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 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 legal 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 knowledge management 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 legal 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 litigation 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 legal 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 compliance 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 r&d 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 development 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 r&d 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 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 quality 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 ip 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 safety 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 quality 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 regulatory 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 r&d 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 trade 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 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 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 fleet 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 procurement 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 transport 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 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 procurement 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 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 warehouse work by reducing cycle time, increasing coverage and improving decision consistency while retaining explicit controls for high-consequence decisions.
Architecture: RAG + governed enterprise search