Fordel StudiosEnabling agent-first process redesign
What Happened
Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute entire workflows autonomously. But unlocking their potential requires redesigning processes around age
Our Take
This is right in theory, completely wrong in execution. Everyone's gonna bolt agents onto legacy workflows and call it "agent-first." Real redesign means tearing up playbooks, changing org structure, retraining teams — that's expensive and slow. Companies want the AI magic without the organizational pain. They're not gonna get it.
The agencies claiming they do this work? Most are just swapping out the rule engine for an LLM call and charging more. The hard part isn't the agent. It's convincing a 20-year-old org to stop being shaped like a 1995 insurance company.
What To Do
If you're building agent software, bundle "playbook redesign" as a separate service or watch customers fail and blame you.
Cited By
React