Summary
What this article covers in 30 seconds
- IT Supply Chain highlighted hidden risks in agentic AI systems.
- Natural-language communication between agents can introduce ambiguity and compounding errors.
- Recordsure’s CTO Kit Ruparel emphasised architecture, governance and uncertainty handling.
IT Supply Chain recently highlighted hidden risks in agentic AI, warning that many organisations are adopting complex systems without fully understanding how they work.
As AI agents increasingly communicate in natural language, ambiguity and compounding errors can reduce reliability and produce confident but inaccurate outputs. Kit Ruparel, Recordsure’s CTO, emphasised the need for clear architecture, strong governance and the ability for systems to acknowledge uncertainty.
Agentic AI is only as safe as its design, making responsible implementation critical. Read the full article.
Frequently asked questions
Complex agentic AI systems can be adopted before organisations fully understand how they work.
When AI agents communicate in natural language, ambiguity and compounding errors can lead to confident but inaccurate outputs.