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2 min read Building with AI

Escaping the AI Rule Maze

You deployed AI for automation. Three months later, the engineering never stops - rules expanding, supervision heavy, costs mounting. AI didn't fail. Your operating model did.
Escaping the AI Rule Maze

A product manager decides to automate subscription upgrades.

The existing workflow is human-driven. A customer contacts support asking about upgrading mid-cycle. A support agent reviews the plan, usage, billing date, contract constraints - then anticipates consequences. Proration fairness. Customer sentiment. Revenue leakage. If uncertain, escalate to finance. Responsibility stays with the agent.

The PM sees an opportunity: replace the human step with AI.

“We will deploy an AI agent that handles upgrade requests automatically. Faster response, lower cost, 24/7 availability”.

The team designs carefully. Business constraints: maximum discount thresholds, pricing bounds. Operational controls: escalation triggers, confidence scoring. Safety guardrails. Extensive testing, staged rollout, monitoring dashboards. All reasonable precautions.

The AI agent goes live.

The impact is immediate. Response times drop. Costs fall. The system handles volume.

Then:

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Published by:

Enes Lisovac

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