Your agentic workflow will break the first time reality shifts

→ The paper's claim is unglamorous but correct: agentic pipelines tested against one steady-state scenario will quietly collapse the first time a policy, an API, or a customer's data model changes underneath them. The fix on offer is architectural — separate planning from execution, keep state legible, assume drift — not another prompt tweak.

⚠ This lands the same week a 313-case benchmark elsewhere found the single biggest lever against agent failure isn't a smarter model but separation of duties — splitting privileged execution from decision-making cut attack success from 98% to 8%. Reliability and security are converging on the same architectural answer, which should make procurement conversations easier, not harder.

✳ If you've sold a client on 'set and forget', go back and read what 'set' actually assumed — a stable API, a stable policy, a stable org chart. None of those hold for a quarter, let alone a contract term. Build the re-planning step in now, bill it as a feature, not a patch six months from now.

※ Meanwhile a third of firms surveyed admit they've already acted on a wrong agent decision, which is the kind of statistic that makes 'it worked in the demo' sound less like reassurance and more like a confession.