Guides
Practical guidance for product teams, engineers, and decision-makers working with AI systems. Each guide includes actionable checklists and real-world decision frameworks.
Guide12 min read
AI Vendor Due Diligence: 30 Questions in Five Categories
A structured framework for evaluating AI vendors before procurement. Covers 30 questions across model transparency, data practices, security, compliance, and commercial terms, with a red flags table and comparison framework.
Updated Apr 2026procurementvendor-evaluationdue-diligence
Guide10 min read
AI Ethics for Product Teams: A Practical Checklist
A structured checklist for product managers and engineers building AI-powered features. Covers data sourcing, model selection, user disclosure, and ongoing monitoring.
Updated Apr 2026ai-ethicsproduct-managementengineering