Agentic AI requires direct data access for enterprises
Companies must grant agentic AI systems direct access to internal data to maximise utility and achieve reliable results. This shift is critical for effective AI implementation.
What happened?
The development of agentic AI systems within enterprises is accelerating, but their full potential can only be realised through immediate and reliable access to the company's own data. This direct link is necessary for AI agents to perform complex tasks, make informed decisions, and deliver accurate insights based on the latest and most relevant information. A lack of direct data access limits the AI's ability to act independently and efficiently.
Key facts
| Experian Produktlansering | Agent Operating System™ |
|---|---|
| Tradeweb Produktlansering | TARA (Tradeweb AI Research Assistant) |
| Tradeweb TARA Lanseringsdatum | 15 juni 2026 |
”Autonomous agents could be transformative for enterprise finance and accounting functions, but they must be built on strong foundations of unified data, deep financial context and human oversight.”
”Research suggests that early experiments have begun to deliver significant returns on investment. However, it also reveals that concerns around governance, liability and auditability remain.”
Why it matters
Agentic AI aims to shrink the time between a business query and a reliable response. While reports and dashboards have previously been the standard, AI agents now require the ability to interact directly with data sources to generate dynamic and contextual insights, rather than relying on predefined datasets. This is particularly critical in fields such as finance and accounting, where data integrity and timeliness are paramount.
Who is affected?
Companies implementing and using AI agents are directly affected, particularly within the finance and accounting sectors. Decision-makers including CEOs, CFOs, and IT directors need to understand the importance of a robust data infrastructure. Developers building these agentic systems are also impacted, as they must ensure secure and efficient data integrations. Users of AI-driven financial assistants, such as Tradeweb’s TARA, are also affected.
What else you should know
Experian has launched the Agent Operating System™ to help financial services scale agentic AI securely. Tradeweb has also introduced TARA, an AI-powered research assistant for institutional credit trading, highlighting the practical application of agentic agents with data access.
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