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What Can AI Agents Do Today (And What Can't They Do)?
The Expectation Problem Marketing materials describe impressive capabilities. Vendor demos show seamless operation. The gap between claims and operational reality creates implementation failures when expectations exceed actual capability. Mid-market companies need accurate understanding of what AI agents can and cannot do today to prevent misapplication and ensure appropriate oversight. What AI Agents Can Do Today Handle Standard Exception Processes AI agents ex
1 day ago3 min read
When NOT to Use AI Agents: 5 Scenarios Where Manual Works Better
The Misapplication Risk Most AI agent discussions focus on where the technology works. Equally important is understanding where it does not work. Misapplication creates poor outcomes, implementation failures, and organizational resistance that affects future automation efforts. Mid-market companies benefit more from knowing when to avoid AI agents than from knowing their capabilities. Clear boundaries prevent wasted effort. Scenario 1: Low Exception Volume When th
1 day ago4 min read
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