A hiring mindset forces businesses to define the role, set boundaries and measure results before deploying an AI agent.

In a remarkably short time, the conversation around AI agents has shifted from “Should we experiment with AI agents?” to “How many agents do we need, and how much will they cost?”

AI adoption is now mainstream, but autonomous agents are still early. Stanford’s 2026 AI Index reports that 88% of surveyed organizations used AI in at least one business function in 2025, while agent deployment remained in the single digits across nearly every business function. Even so, businesses are already deploying agents to answer phones, qualify leads, book appointments, follow up on open tickets and manage outbound campaigns.

At Vida, we call them “digital employees.” Not because agents are people, but because deploying them raises many of the same role-design and management questions that come with hiring people.

Too many companies deploy digital employees with less diligence than they would use when hiring an intern.

When you bring on a human employee, there’s a process. You define the role, set expectations, establish which systems they can access, decide how to measure their performance and identify who they report to. When companies skip that process for AI agents, the results are predictable: Agents run without clear objectives, scatter across tools without central oversight and deliver outcomes that nobody can quantify.

I’ve watched this play out across the industry. The teams that succeed answer a specific set of questions before they ever flip the switch.

Source link