Tag: ai-operations

Experiments do not create business value - operations do. Here is how to transition AI from the thrill of pilot phase to the discipline of operational integration.

Between technical MLOps and general business operations lies a missing discipline that determines whether AI creates lasting value or becomes expensive technical debt. Here is the complete ai operations framework that applies proven manufacturing excellence principles like continuous monitoring, quality assurance, and systematic improvement to AI systems in production.

Pilots work because they are protected environments with dedicated resources. Production fails because it is the real world with real constraints. The gap is not technical - it is operational. Eighty-eight percent of AI pilots never reach production, not because the technology fails but because companies underestimate the operational readiness required.

Consultants get you started with Claude. Operations managers keep it running. With 95% of AI pilots failing after launch, the real work begins after implementation - monitoring usage, optimizing costs, preventing drift, and maintaining the systems that actually deliver ROI.

The most damaging AI incidents stem from process breakdowns, not technical failures. Discover how to build incident response procedures that address the real causes of AI failures, not just the technical symptoms, and create recovery processes that rebuild customer trust.