AI reordering coffee is one thing, but AI approving a new vendor is another.

The prospect of using AI in decision-making is both exciting and incredibly valuable. AI can analyze options, review historical actions, and evaluate industry and market conditions with a depth and speed that humans simply can’t match. It can surface insights, identify patterns, and present well-informed recommendations that significantly enhance the decision-making process.

However, allowing AI to make or finalize decisions is a different matter. In most cases, this falls outside existing compliance standards. Compliance teams would inevitably ask: Who does the AI report to? How is it governed? Can it be audited, reviewed, or held accountable? Concepts like onboarding, oversight, and even offboarding would need to be clearly defined.

For organizations operating under regulatory or industry compliance requirements, it’s difficult to imagine AI agents being granted full decision-making authority in most business transactions. This is fundamentally different from algorithmic trading, which relies on structured, numerical inputs such as price, volume, and historical data.

Most business decisions involve qualitative, non-numeric factors, and these will continue to require human judgment and final sign-off. In fact, as AI generates more data and analysis, the need for human oversight becomes even more critical. The challenge then becomes how to manage and approve decisions efficiently while incorporating this expanded level of insight.

This is where structured workflows become essential.

FileStar workflows are designed around both data and documentation, what we call “Packages.” These packages combine key data points with organized supporting materials such as contracts, industry research, purchase orders, and even AI-generated content.

While approval processes may become more streamlined with AI assistance, they will still require human authorization at the final stage. Importantly, FileStar ensures that every element—from data and documentation to approvals and final decisions—is fully archived to meet compliance requirements.

The path forward is clear:

• Use AI for what it does best, analyzing, informing, and accelerating.

• Rely on humans for judgment and accountability in complex decisions.

• And use FileStar workflows to bring it all together in a compliant, structured way.