Why do enterprise AI prototypes stall right before procurement approval?
In this extract from the Agentic AI Security Review at Swiss AI Weeks, Victoria Moroz, Sam Sahana, and Fabio Sakita address the core engineering hurdles that technical founders and CTOs encounter when transitioning autonomous AI into production:
- The Code Gap: Knowing compliance requirements on paper, but lacking the technical architecture to code them into production.
- Procurement Rejections: Prototypes passing internal tests, but failing enterprise vendor security reviews.
- Audit Blindspots: Inability to provide cryptographically verifiable proof of what an autonomous agent actually executed.
- Release Delays: Manual compliance checkpoints slowing down sprint velocity.
- Bandwidth Shortages: Lack of internal senior DevSecOps capacity to build runtime guardrails.
Discover how dedicated Swiss-led delivery pods utilize pre-built DevSecOps templates and AI-assisted workflows to implement compliant sandboxing and runtime logging within weeks—without disrupting your core product roadmap.
