⚡ Breaking - More AI agents can mean more work for humans - calcalistech.com

📰 BREAKING

More AI agents can mean more work for humans, according to a contrarian thesis gaining ground in enterprise circles.

The pattern: companies deploy agent swarms, then discover they've created new coordination overhead, handoff gaps, and exception-handling queues that land back on operations teams.

This matters because it exposes the gap between agent capability and workflow design. An agent that completes 85% of a task still requires human intervention—but now that human inherits fragmented context, mid-stream decisions, and accountability for outputs they didn't fully control.

At QikAI, we see this in banking and telco implementations that skipped the human-AI collaboration model design phase. They built agents. They didn't build the operating model around them.

The fix starts with governance: defining decision rights, escalation paths, and accountability boundaries before you scale agent count.

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