Signal: Who Catches the Agent when it is wrong?
Who catches it when it is wrong? A readiness gate does not slow humans down. It makes sure humans know how to supervise, correct, and rely on the system once it touches real work.
If nobody knows what happens when the agent is wrong, it is not ready
Signal is the short “so what?” layer from Vieews. It translates current AI noise into an Operator question and points to the playbook that helps you act.
The noise
AI tools, agents, copilots, and automation are moving faster than most organisations can absorb. The headline may be about jobs, cost, speed, or productivity. The Operator question is usually more practical.
The Operator translation
This Signal translates agent readiness into a simple human question: who catches it when it is wrong?
A readiness gate does not slow humans down. It makes sure humans know how to supervise, correct, and rely on the system once it touches real work.
Where this shows up
- A support agent gives a confident but wrong answer. Who corrects the customer record?
- A finance copilot drafts a variance explanation. Who validates before it goes to leadership?
- A SharePoint training agent misreads outdated instructions. Who updates the source?
What to do now
Pick three AI workflows that are closest to live use. Run each through the gate as Red / Amber / Green. Only Green moves forward. Amber gets fixed. Red pauses.
Use the linked playbook
This Signal points to Before It Goes Live: The AI / Agent Readiness Gate.
