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The hidden cost of build vs. buy for agentic AI in regulated industries

TL;DR AI

Key summary

2 min read
  1. Regulated companies are discovering that building agentic AI in-house often recreates the same fragmentation seen in DevOps toolchains.

  2. The hardest part is not the model itself, but the orchestration and governance layer: integration, security hardening, and compliance.

  3. Custom DIY stacks can become a long-term operational and regulatory burden, especially under rules like DORA and the EU AI Act.

  4. A unified platform may reduce sprawl, simplify audit evidence and controls, and make it easier to scale agentic AI safely.

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