Insights
4 min read
Why AI Agent Architectures Fail: Lessons from Industry Missteps
Analyzing root causes of failure in AI agent production architectures with Falnoa's structured engineering perspective.
ReadTaking on new projects
AI agents that dothe work.
We build AI agents and automation that run real enterprise operations — with the security and compliance layer (NIS2, EU AI Act) that makes them safe to deploy. Cuts 50–80% of manual work. Audit-ready from day one.
24h response · No sales pitch · Free assessment
By the numbers
Up to
0%
Manual work eliminated
Range observed across AI agent and automation engagements. Floor 50%, ceiling 80%.
0h
First response
Every inquiry. Includes initial technical assessment, no sales call.
0%
Audit-ready by default
Every system we ship aligns to NIS2, the EU AI Act, and agent observability best practice.
What we build
AI Agents
Autonomous agents that execute real work end-to-end. Multi-step reasoning, tool use, system integration, recovery. Production systems — not demos.
Multi-agent systemsTool use & function callingMemory & RAGProduction rollout
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scope it.
Describe the problem. We'll respond within 24 hours with a technical assessment, not a sales pitch.
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