AI is moving into fraud prevention, underwriting, claims, and real-time decisioning — where it doesn’t just analyze but acts within live financial workflows.

But most institutions lack the **operational awareness, consistency, and control** required to trust those actions. This research, based on insights from enterprise leaders, reveals a growing gap between what AI requires and what organizations can deliver today.

In this report, you’ll learn:

- Why **72% say AI needs real-time data — but most cannot deliver it**
- How fragmented data increases financial and compliance risk
- What it takes to scale governed, real-time AI

Trustworthy agentic AI depends on three foundations:

- **Operational awareness:** Real-time access to data
- **Consistent business context:** Shared definitions for terms such as “customer,” “risk,” and “exposure”
- **Built-in governance:** Audit-ready guardrails

Without these foundations, AI decisions become harder to justify, scale, and defend.

Download the report to learn how to fix it. Then benchmark your readiness with the [AI Data Maturity Self-Assessment.](https://www.denodo.com/en/ai-ready-data-maturity-self-assessment)



 

 

 

  

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