AI implementation in business requires process-first approach

When selecting artificial intelligence solutions for businesses, companies should prioritize process improvement over the mere adoption of tools. Effective implementation requires a detailed analysis of existing workflows, including time requirements, bottlenecks, error rates, and the specific exceptions that currently require human intervention.

A successful use case must define the trigger event, the expected outcome, the personnel involved, and the specific objectives. For example, rather than broadly aiming to ‘automate customer service,’ a company should specify if the goal is request classification, response preparation, or information retrieval. The value of an AI solution should be measured by its ability to produce a measurable difference in real-world work without incurring costs or risks that outweigh the benefits.