The agentic AI readiness gap: why your data foundation is the ultimate bottleneck
The “Age of Intelligence” has arrived, and with it, a new level of enterprise ambition. We are moving rapidly beyond simple generative AI chatbots toward Agentic AI—autonomous systems capable of reasoning, making decisions, and executing complex workflows with minimal human oversight.
But as organizations race to deploy these sophisticated agents, a stark reality is setting in: most enterprises are building on quicksand.
A new pulse survey by Harvard Business Review Analytic Services (HBR-AS), sponsored by Reltio, reveals a massive “readiness gap.” While 94% of organizations are currently exploring or implementing AI, only 15% of respondents consider their data foundation “very ready” for the shift toward Agentic AI.
The great disconnect: ambition vs. infrastructure
The report, titled “Unlocking the Data Advantage in the Age of Intelligence,” surveyed 325 global business and technology leaders. The findings highlight a critical disconnect between what leaders know they need and what they actually possess.
The most vital ingredient for AI success? Trust. An overwhelming 94% of leaders ranked “trust in the reliability of data” as their most critical capability. Yet only 39% say their organizations are highly proficient in this area.
When AI agents are empowered to act autonomously—resolving customer disputes, adjusting supply chain orders, or managing financial portfolios—the cost of “bad data” scales exponentially. If the data is fragmented, stale, or conflicting, the AI’s actions will be as well.
Three barriers to agentic AI success
Why is the readiness gap so wide? The HBR-AS research identified three primary hurdles preventing enterprises from realizing the full potential of their AI investments:
- The Persistence of Data Silos: Cited by 46% of respondents, silos remain the top barrier to progress. Agentic AI requires a holistic, cross-functional view of the business. An AI agent cannot optimize a customer journey if it only has access to support tickets but lacks visibility into billing or marketing interactions.
- Strategic Misalignment: Only 16% of respondents say their organization’s data investments are very organized and aligned with their business strategy. For many, data management is still treated as an ad-hoc IT function rather than a strategic business imperative.
- The Governance Proficiency Gap: While 89% of leaders recognize that data governance is highly important, only 37% say their organization is highly proficient in it. In the Age of Intelligence, governance must evolve from a back-office compliance checklist into a strategic differentiator that ensures data is “AI-ready” in real time.
Context: the decisive ingredient
As Manish Sood, CEO and Founder of Reltio, notes in the report:
“Agentic AI represents a step-change in how work gets done, but its autonomy depends on something most enterprises still struggle to scale: unified, real-time, trustworthy data.”
The solution lies in Context Intelligence.
To act with precision, AI agents need more than just raw data; they need a “semantic layer” that acts as a translation guide. This layer defines core business concepts and maps the complex relationships between entities—customers, products, locations, and suppliers—across the entire enterprise. AI itself cannot create this guide; it needs a real-time context layer to deliver it to them.
Without this connected, governed, and real-time understanding, even the most advanced AI models will struggle to deliver value with confidence.
Moving from experimentation to evolution
The leaders who win in the era of Agentic AI will be those who stop treating data readiness as a one-time project and start treating it as a core organizational evolution. This means moving away from fragmented, “ad-hoc” data management and toward a unified data cloud that provides a “system of context” for the entire enterprise.
At Reltio, we are committed to helping organizations close the readiness gap. The Reltio Data Cloud harmonizes, unifies, and enriches data across all sources in real time, providing the trusted foundation required for AI agents to reason and act at scale.
The Age of Intelligence is here. Is your data foundation ready to support it?
Download the full Harvard Business Review Analytic Services report here to explore the complete findings and learn how your peers are navigating the path to AI maturity.
