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 engineering 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 workforce 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: RAG + governed enterprise search
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 safety 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 operations 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 quality 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 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 supply chain 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 advertising 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 growth 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 brand 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 marketing 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 content 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 trust & safety 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 creative 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 insights 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 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 insights 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 sustainability 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 maintenance 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 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 exploration 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 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 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 processing 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 safety 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 supply chain 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