Disparate data is the biggest source of wasted employee time. If your staff are spending half their time gathering the information they need to do their jobs, not only are they wasting half their capacity, they are burning out with frustration. And that ultimately hurts your customers.
Research from McKinsey, IDC, and others, shows that employees across industries and roles spend a staggering 2 to 4 hours per day, or 10 to 20 hours per week repeatedly searching for, gathering, and preparing the information they need to be productive. You read that right. In 2025, employees are spending 25 to 50 per cent of their time navigating fragmented systems and data silos before they actually start doing their work.
The primary cause of this epic waste of time is fragmented information sources. One survey found that 60% of respondents used four or more data sources each work day in their normal course of business, with 18% using seven sources or more!
Employees are forced into repetitive manual workarounds. Logging into multiple tools, switching contexts, and piecing together information from different platforms every day. These workarounds aren’t just time-consuming—they’re frustrating and exhausting.
Repeatedly hitting roadblocks. Can’t trust the data because the sources don’t agree. Lack of search functions. Lack of technical and managerial support. It all leads to frustration, disengagement and burnout for employees.
And it doesn’t just hurt internal operations. Research shows a clear, measurable link between employee experience and customer satisfaction. Companies with highly engaged employees report a 20% increase in customer satisfaction scores. Employees who feel empowered and efficient are more likely to go the extra mile for customers, while disengaged or overwhelmed staff simply are not.
It used to be that the only way out of this mess was an expensive, multi-year digital transformation initiative to consolidate and integrate all your systems and data sources. Challenging at best for even the biggest players. Totally unrealistic for most small to midsize businesses. But those days are over.
Agentic AI leverages autonomous software agents to unify fragmented systems and disparate data sources, transforming isolated silos into a cohesive, intelligent network. They connect to various applications and databases and ingest, process and analyze data in real time. With prebuilt, customizable data transformations, AI agents can harmonize data for downstream analytics and automation. They can orchestrate workflows across disparate systems, automating business processes that previously required manual intervention. Agents learn and adapt, improving data quality and reliability over time and ensuring integrations remain robust as systems and data sources evolve.
The best part is that nothing needs to be replaced, rebuilt or thrown away. Process and workflow changes are minimal. Implementations that previously took months or years, can now be done in weeks at a fraction of the cost.
Integrating your company’s systems and data with Agentic AI will help make your employees more productive, more engaged, and more likely to go above and beyond for your customers with lower costs, shorter timelines and simpler change management than ever before.