Redesign Workflows Before Deploying AI Agents, Experts Argue
11/05/2026 — 11/05, 09:15·1 sources (all)·1 reports (all)
Key takeaways
- An analysis argues that blindly deploying AI agents onto broken or inefficient legacy workflows only amplifies existing errors. Experts reco…
Background & analysis
On November 5, 2026, the AI section of DEV Community published an article titled "Don't rush to build AI agents — redesign your workflows first". When asked how many AI agents a team should build, the author's advice is to start with fewer, and notes that an agent on a broken process is still a broken process.
The article observes that most agent projects begin with a task someone simply dislikes: triaging tickets, drafting replies, or reconciling records. An agent is then built to perform that task exactly as it is done today, which means the result is the same process, only executed faster. Existing handoffs, unclear approvals, and rework all survive the transition. If the process made mistakes before, the agent makes them as well.
The recommended approach is therefore to map and redesign the workflow itself first, and only then introduce automation in a targeted way, rather than replacing an inefficient task with an agent while leaving the underlying process untouched.
AI-generated from 1 reports · updated 19 hours ago
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Reports on this story headlines open the original
The author argues that deploying AI agents onto broken, inefficient processes only accelerates existing flaws, and teams should redesign workflows before building agents.
DEV Community · AIAI score 68
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