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Give your 'human-level agents' a proper head start with these 3 best practices

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Why This Matters

As AI agents approach human-level capabilities, establishing best practices is crucial for businesses to harness their potential effectively. Proper governance, evaluation, and incremental deployment help organizations control risks, ensure value, and optimize investments in AI technology. These strategies are vital for consumers and the tech industry to safely and efficiently integrate advanced AI into workflows.

Key Takeaways

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ZDNET's key takeaways

Setting up governance and evaluation are keys to designing agents.

Start small with agents rather than try to replace entire workflows.

Clean, well-organized data makes all agency work smoother.

Computing is at the threshold of "nearly human-level agents," according to Mustafa Suleyman, Microsoft CEO of AI, in a recent opinion column for the MIT Technology Review.

But there are many stumbling blocks along the way. Businesses are overwhelmed with trying to redesign their workflows and decide what information agentic AI programs should have access to.

A consequence of the challenges, database technology giant Databricks noted in its recent State of AI Agents report, is that "Only 19% of organizations have deployed AI agents, and mostly to a limited extent."

"If you talk to a lot of chief financial officers, they will tell you, 'I have three concerns'," Craig Wiley, the head of AI for Databricks, told ZDNET.

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