"The folks at McKinsey did just that, releasing the results of a one-year performance review of AI agents that the consulting firm had been implementing and observing. How did these digital employees do in their first year on the job? The McKinsey team's conclusions: They require a lot of work to get up to speed; they aren't always the best answer to every business need; and their human counterparts aren't always impressed with the agents' work."
""Agentic AI efforts that focus on fundamentally reimagining entire workflows -- that is, the steps that involve people, processes, and technology -- are more likely to deliver a positive outcome," according to the review. Start with addressing key user pain points, the co-authors suggest. Organizations with document-intensive workflows, such as insurance companies or legal firms, for example, benefit from having agents handle tedious steps."
A year-long implementation and observation of more than 50 agentic AI builds produced six lessons about agent performance and deployment. Agents deliver stronger results when embedded inside well-defined workflows that address specific user pain points, especially in document-intensive industries like insurance and legal. Agents require substantial upfront work, integration, guardrails, and ongoing maintenance to reach useful performance. Agents are not always the right solution and can add unwanted complexity or poor ROI if applied indiscriminately. Human teammates may be unimpressed without clear improvements to speed, accuracy, or user experience. Careful scoping and workflow redesign increase success chances.
Read at ZDNET
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