The demo was flawless. A new AI-powered agent, built in six weeks, resolved a complex customer logistics query in seconds. On the video call, the VP of Innovation saw the future. He saw headcount reduction. He saw a press release. He saw his bonus. The project team, barely out of their twenties, celebrated with a torrent of triumphant Slack messages.
On Monday morning, the alerts started firing. A small but growing number of orders from the company’s oldest European subsidiary were being routed to the wrong continent. The cost was trivial, for now. The AI team checked their dashboards. The model's confidence scores were high. The API calls were clean. They looked at the prompt, a beautiful multi-shot chain of thought that had been workshopped for days. It was perfect. The problem wasn't in their code.
The problem, it turned out, was in a 15-year-old SAP customization. It was a temporary fix, implemented after a messy acquisition, to handle a specific VAT rule for a single product line. The fix was documented on a long-dead wiki. The engineer who wrote it left the company in 2014. The only person who knew why that block of archaic ABAP code was still there was a senior architect in the Frankfurt office, a man the AI team had never met. He wasn't invited to the demo. His system was just an API endpoint to them, a black box that returned data. They had built their perfect AI agent on a foundation whose blueprints they had never seen
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