The shift towards agentic AI in businesses is raising concerns about governance and accountability, as organizations increasingly rely on AI for management decisions, potentially leading to errors and compliance issues. Despite the optimism surrounding AI's role in enhancing productivity, many companies are struggling with rising costs and inadequate infrastructure, resulting in greater workloads and unclear ROI.
To effectively leverage agentic AI in your enterprise, prioritize building a robust infrastructure specifically designed to support the agentic workloads, rather than relying on outdated observability and security stacks. Focus on deterministic orchestration to manage costs and enhance reliability, while being cautious about the potential for AI to introduce errors and "hallucinations" that could mislead decision-making. Ensure strong governance and compliance frameworks to mitigate risks associated with AI's autonomy in altering business records and data sources.