ai-product-operating-model

# AI Product Operating Model Design a company-wide operating model for AI in product when the question is bigger than one prompt, one feature, or one model choice. This skill is for organizations that need to align: - product AI feature design - agent and tool-using workflow posture - data boundaries across product, context, and analytics - provider and deployment posture - public-cloud handling of PI or sensitive data - evaluation, rollout, and governance Default posture for May 2026: - external model APIs first - central platform ownership before federated sprawl - explicit data-plane separation - provider abstraction instead of hard vendor lock-in - risk-tiered controls for sensitive data - evals, telemetry, and rollback before broad rollout - model-lifecycle governance: provider model deprecations treated as planned product events, not surprises - multi-model ops: running more than one frontier provider in production as a standing operating concern ## ASCII Flow ```text company AI ambition | v scope classification product AI | internal copilots | agents | mixed platform | v operating model central platform + provider posture + data-plane boundaries + risk tiers | v shared controls evals + telemetry + rollout + privacy + security + ownership contracts | v roadmap sequenced workstreams with owners, gates, and adoption feedback ``` ## When to Use This Skill Use this skill when the user asks for: - an AI in product operating model - a company...