​AI Can Recommend The Decision, But Leaders Still Own The Outcome

Jayasri Ranganathan is VP, Head of Technology Strategy at Trinity Solar | Enterprise AI, Governance & Technology Transformation.

For most of my career, one principle of technology leadership seemed relatively straightforward: technology provided information, but people made the decisions. Artificial intelligence (AI) is beginning to challenge that distinction.

AI is rapidly moving from a tool that helps employees find information or generate content to one that can recommend actions, automate workflows and execute tasks with limited human intervention. That evolution creates enormous opportunity. It also creates one of the most important leadership questions of the AI era: When AI influences a business decision, who ultimately owns the outcome?

The answer cannot simply be “the technology.”

The next AI challenge is decision rights.

For years, organizations have established decision rights around people. Who can approve an investment? Who authorizes a customer exception? Who accepts a cybersecurity risk? AI introduces another participant into that structure, and most organizations have not yet updated their governance models to account for it.

Consider an AI system recommending which sales opportunities should receive priority. The technology may evaluate customer history, engagement patterns and transaction data. But what happens when the recommendation conflicts with the judgment of the sales leader? Or, consider an AI agent capable of resolving customer issues. How much authority should it have to issue a refund, modify an account or make a financial commitment?

These are no longer simply questions about model accuracy but authority, risk and accountability.

Accuracy alone does not determine autonomy.

One of the most tempting approaches to AI governance is to focus primarily on accuracy. If a system reaches a sufficiently high accuracy threshold, the assumption is that it is ready for greater autonomy.

Not every decision needs the same human involvement

• Growth versus risk