Enterprise AI has a credibility problem.
In June 2026, Meta launched a business agent designed to book appointments, qualify leads, and close sales—while a separate support-system failure reportedly helped enable unauthorized access to high-profile Instagram accounts.
The uncomfortable lesson is not that AI is useless. It is that “autonomous” often means automated until something breaks, confuses a field, or reaches a system boundary. Then an employee copies, pastes, checks, reformats, and rescues the process.
AI workflow automation can look impressive in a demo while quietly creating more operational labor. That hidden labor is where ROI goes missing, very fast.
AI Workflow Automation Is Not Complete When the Model Finishes
