AI governance needs identity, not just rules
Most governance focuses on behavior through rulebooks. The deeper shift is building accumulated state and history — giving systems something to be, not just rules to follow.
AI Workflow Architecture further reading, page 11
AI workflow architecture matters because AI adoption fails when tools know the task but not the operating context around it.
The 200-Prompt Wall
Why long-running AI projects collapse around 200 prompts — and the architectural solution that breaks the limit.
Your company didn't ban DeepSeek because of data privacy
DeepSeek bans exposed a weak pattern in enterprise AI governance: selective scrutiny, geopolitical reflex, and inconsistent treatment of model risk.
Why AI is making your team more exhausted, not less
AI can raise output while draining human judgment. The hidden cost is the evaluation tax teams pay when every generated artifact needs review.
What an AI taskforce should actually produce (and what it enables)
Most AI taskforces focus on tools and policies. The real outputs are structural: a knowledge map, context index, workflow, diagnostic instinct, and team alignment.