Agentic AI Readiness

AI is no longer just generating content, it's taking action, and the organizations that understand this distinction will be the ones that pull ahead. Agentic AI systems can now reason, plan, and execute complex, multi-step workflows across enterprise environments, fundamentally changing how work gets done and how decisions get made. But while interest in agentic AI is surging, TDWI research shows that less than 10% of organizations have multi-agent systems running in production, exposing a significant gap between ambition and execution.

TDWI's Agentic AI Readiness Benchmark draws on responses from 161 organizations to assess where enterprises truly stand across five critical dimensions of readiness, and the findings reveal that most are still assembling the components required for agentic AI rather than operating them as a cohesive, integrated system.

Download the free benchmark report to find out where your organization stands and what it takes to move from experimentation to production, including:

• How organizations score across five dimensions of agentic AI readiness and where the most consequential gaps are hiding

• Why data consistency, governance enforcement, and semantic context are the foundational requirements that most organizations are underestimating

• What separates organizations that are genuinely enabling agentic AI from those that only appear to be ready based on isolated progress in one or two areas

• How to use the readiness framework to identify your highest-priority investments before scaling autonomous, multi-agent workflows

Download the report now and find out whether your organization is building toward agentic AI or just experimenting at the edges of it.