From solving customer issues to detecting fraudulent activity, organizations across industries depend on AI agents to get work done swiftly, securely, compliantly, and with minimal human intervention. But even the most capable AI agent can’t act on information it doesn’t have.
Integration latency has become one of the biggest bottlenecks in making the leap from AI pilots to an autonomous workforce. And the root of the issue isn’t your model. It’s your data.
AI agents are designed to make decisions and act in real time. But in many organizations, the data they need must first be copied and synchronized from data lakes, warehouses, business applications, and cloud environments before it can be used. Those extra steps create delays that can slow decisions and stall workflows.
It’s a challenge that’s widespread. According to IDC, seven in 10 IT and business leaders say data silos are a major barrier to AI adoption.
But there’s a better approach to getting your data AI-ready. Zero copy connectors give AI agents direct access to enterprise data where it already lives. That means less time spent moving data and more time turning insight into action.
Deliver on the promise of agentic AI
AI agents can’t resolve an issue or trigger the next step in a workflow if they’re waiting for data. But data integration methods are typically slow, unstable, and costly. Teams have to build pipelines, manage extract, transform, and load (ETL) workflows, and store the same data in multiple locations, increasing the possibility of replication errors and slowing down processes.
To ensure AI agents make good decisions based on real-time insights, they need quick, easy access to a complete, trustworthy view of internal and external data. Most executives agree. According to MIT Technology Review Insights, 83% of C-suite leaders believe that AI success depends on bringing multiple data sources together.
Zero copy connectors break down data silos and eliminate the round-trip delay between where data lives and where agents need to act. These connectors federate live queries across systems without duplicating data or locking you into one vendor. As long as your sensitive data stays in its original, secure location, you reduce the chance of leaks or vulnerabilities, decrease compliance complexity and risk, and keep storage and data egress costs down. Plus, users see the exact data they need, when they need it. Once the task is over, access is revoked automatically. No complex integrations or loose ends to tie up.
Stop moving data, and start moving work
When critical enterprise insights are locked in disconnected systems, AI can’t get the information it needs to deliver business results.
By unifying your data environment, you can eliminate the integration latency that keeps your AI agents stuck, ensuring real-time access and improving system performance across the business. Discover how Workflow Data Fabric from ServiceNow reduces integration bottlenecks by giving AI agents direct access to the data they need, where it already lives.