New failure classes
Classic apps fail closed: 500s, timeouts, empty states. AI-augmented apps can fail open: fluent wrong answers, unsafe tool calls, silent quality drift. Users may not notice until trust is already spent.
Reliability engineering must expand to evaluation harnesses, canary prompts, cost budgets, and kill switches — alongside the usual SLOs.
Design for supervised autonomy
Gartner’s data shows appetite for agents with caution on full autonomy. Product design should match: agents propose and prepare; humans approve irreversible actions; the UI makes confidence visible.
Architecturally, isolate model providers behind interfaces, cache where safe, and keep a non-AI degraded mode for critical journeys.
The future path
As agentic systems spread, the competitive advantage will not be “who added AI first.” It will be who can run AI as a dependable face of a larger system — software, surface, automation, and service locking together under load.