@ericyocam6Professor, California Polytechnic State University
Are AI Agents Ready for Real-World Business Decisions?
What's the biggest obstacle preventing your organization from trusting AI agents with business-critical decisions?
@ericyocam6 @ericyocam6
Comments2
My vote for the biggest obstacle is accountability: when an agent makes a business-critical call that loses a big customer or prices a deal wrong, nobody knows who answers for it. Framing the poll around business-critical decisions is useful for people building agents, because buyers will want a named person responsible and an easy way to undo a bad call before they hand over anything that matters.
Great point, Ryan! Accountability is fundamental to building trust in agentic AI, particularly when decisions carry financial or operational consequences. I agree that organizations need clearly defined ownership, audit trails, and mechanisms to reverse or correct unauthorized or incorrect actions. From a cybersecurity and governance perspective, I'd also argue that agent autonomy should be proportional to the risk of the decision being made. Low-risk tasks may require minimal oversight, while high-impact decisions should involve human approval and clearly established escalation procedures. Ultimately, businesses need confidence not only that an AI agent can make a decision, but that someone remains accountable for the outcome.
2 comments
My vote for the biggest obstacle is accountability: when an agent makes a business-critical call that loses a big customer or prices a deal wrong, nobody knows who answers for it. Framing the poll around business-critical decisions is useful for people building agents, because buyers will want a named person responsible and an easy way to undo a bad call before they hand over anything that matters.
Great point, Ryan! Accountability is fundamental to building trust in agentic AI, particularly when decisions carry financial or operational consequences. I agree that organizations need clearly defined ownership, audit trails, and mechanisms to reverse or correct unauthorized or incorrect actions. From a cybersecurity and governance perspective, I'd also argue that agent autonomy should be proportional to the risk of the decision being made. Low-risk tasks may require minimal oversight, while high-impact decisions should involve human approval and clearly established escalation procedures. Ultimately, businesses need confidence not only that an AI agent can make a decision, but that someone remains accountable for the outcome.