Observability is making AI Agents accountable

Over 80% of Indian organisations are exploring the development of autonomous agents, indicating a substantial shift towards agentic AI. Despite the resources allocated towards the pilot phase to adopt AI agents, only 29% of businesses have the capacity to fully scale agentic AI initiatives.

Several challenges stand in the way. Concerns around errors with real-world consequences, bias, hallucinations and data quality continue to slow down deployment. Rising costs, along with a lack of governance frameworks for managing agentic systems, have added further uncertainty. 

Furthermore, agentic AI systems often operate as “black boxes,” offering limited visibility into how they function or how decisions are made. This lack of transparency makes it difficult to detect and address issues like bias, hallucinations, or toxic outputs. It also creates challenges in cost control as it limits insight into token usage or system behaviour ...