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

TL;DR AI
2 min readKey summary
Regulated companies are discovering that building agentic AI in-house often recreates the same fragmentation seen in DevOps toolchains.
The hardest part is not the model itself, but the orchestration and governance layer: integration, security hardening, and compliance.
Custom DIY stacks can become a long-term operational and regulatory burden, especially under rules like DORA and the EU AI Act.
A unified platform may reduce sprawl, simplify audit evidence and controls, and make it easier to scale agentic AI safely.
