'The test isn’t whether AI can do something. It’s whether it can make the process measurably better': We hear why businesses need to be more selective about where they’re using AI

As AI becomes increasingly prevalent in businesses, many organizations are questioning when it truly adds value. Rather than assuming every process can benefit from AI, businesses must first identify the specific problems they are trying to solve and pinpoint the areas with the most significant inefficiencies. By focusing on the root cause of the issue, companies can determine whether AI is the most suitable solution or if traditional automation, rules, or workflow would be more effective.

The key question is whether AI can measurably improve a process, rather than whether it can simply be applied to a process. Traditional automation or business rules may be sufficient for tasks that follow predictable rules and have clear outcomes. AI agents truly shine when they need to adapt to complex situations, handle variable inputs, or perform adaptive reasoning.

When implementing AI, businesses must consider the hidden costs associated with data management, integration, monitoring, governance, security, and exception handling. These costs can easily overshadow any potential productivity gains. Furthermore, organizations must establish clear accountability measures to ensure transparency and traceability in the event of errors or misjudgments.

Human judgment remains crucial in situations where the consequences of a decision are significant, particularly in regulated industries like financial services, insurance, life sciences, and the public sector. While AI can streamline processes such as client onboarding, insurance underwriting, or clinical trials, there will always be decisions that require human oversight. Establishing clear boundaries between autonomous AI operations and human intervention is essential to maintain safety and accountability.

The future of enterprise processes is likely to involve a collaborative approach between people, AI agents, and conventional automation. Rather than entrusting entire processes to a single AI agent, organizations should leverage the strengths of each component to create a harmonious ecosystem. By combining the efficiency of conventional automation, the adaptability of AI agents, and the expertise of human decision-makers, businesses can optimize their operations and deliver better outcomes for customers, employees, and stakeholders alike.