If agents have autonomy, why do they still fail so often in real life?
Here, Sandeep Swadia shares a simple, three-step technique to cut through the AI noise:
I was working with a board and leadership team of large consumer company. And when I asked what was stopping them from using AI to drive customer acquisition, for example, the CMO responded: We have all the data, but we still need to build a clean process so that we can turn that into something useful.
When I asked where the real challenge was, she said:
We need the right people in the seats first.
That's the story everywhere. Most AI problems are human problems in disguise. An agent is just a mirror. It reflects the quality of your thinking back at you. Usually, the agent fails because the human failed. So, before you automate anything run a GPS check:
- Goal
- Proof
- Steps
Unless you can do those three things very well, your agent is not going to make any difference.
