Addressing AI Consistency Challenges Across Marketing, Sales, and Support

Quick question for anyone managing AI tools across Marketing, Sales, and Support: Have you run into this yet? Marketing AI scores a lead as enterprise. Sales AI routes them to self-service. Support has no record of the enterprise promise. Customer escalates. Deal dies. That's not a tool problem. That's a constitutional problem. No shared rules across systems. Each AI interprets policy independently. Air Canada just got sued because their chatbot promised a discount that contradicted policy. Court ruled: you're legally responsible for every promise your AI makes. California regulators hit in January 2026. If your AI makes decisions, you'll need to prove how. Not just logs. What rule fired. Why this outcome instead of that one. Most teams can't. I wrote this to map out what the architecture actually requires before you deploy another tool: https://bxaios.com/ai-integration/ Anyone else dealing with AI consistency issues across their stack?