Original frameworks and evaluation methods that make the commercial pages believable.
Research is separate from insights because it serves a different purpose. These pages are for first-principles frameworks, evaluation logic, benchmark-style thinking, and decision tools that support consulting and implementation work.
A practical framework for deciding whether an AI project is commercially and operationally ready to move forward.
Read frameworkA decision method for choosing deterministic automation, search, RAG, agents, predictive ML, or no AI.
Use the frameworkA five-layer evaluation method for corpus health, retrieval, grounded answers, task outcomes, and production controls.
Evaluate a knowledge systemA worked synthetic example tracing a policy question from required evidence through retrieval failure, correction, and release gating.
Follow the walkthroughA sourced market analysis of forecasting, supplier, merchandising, logistics, knowledge, and operational AI opportunities.
Read the market briefA sourced market analysis of industrial operations, energy, logistics, healthcare, engineering, aerospace, and technical knowledge opportunities.
Read the market briefA sourced market analysis of product AI, SaaS, fintech, customer operations, internal tooling, and scale-up controls.
Read the market briefA sourced market analysis of public and regulated workflows, life sciences, agri-food, semiconductors, cleantech, and governance.
Read the market briefA practical, print-friendly control checklist covering ownership, data, security, evaluation, review, monitoring, incidents, and release gates.
Use the checklist