AI Can Only Be as Effective as the Workplace Around It
The excitement surrounding generative AI has understandably centered on new capabilities. Employees may soon draft reports faster, summarize lengthy documents, automate repetitive work and uncover insights hidden within vast collections of data.
But those capabilities rely on an important assumption: that employees can easily reach the information AI needs.
If data resides in disconnected systems, if access policies vary across departments or if employees struggle to locate authoritative information, AI has little reliable context from which to generate useful results. Likewise, if workers spend much of their day navigating multiple logins, switching between disconnected applications or searching for documents, AI becomes another tool layered onto an already complicated workflow rather than a solution that simplifies it.
In other words, AI cannot eliminate workplace friction if that friction has never been addressed.
READ MORE: Here is a guide to AI governance for state and local agencies.
Digital Employee Experience Is an Investment in Productivity
Recent CDW thought leadership highlights the importance of creating secure, seamless digital experiences that enable employees to work efficiently regardless of location or device. While these investments often improve satisfaction and productivity, they also establish many of the conditions necessary for successful AI adoption.
Employees who have consistent access to trusted data are better positioned to make informed decisions with AI assistance. Modern collaboration platforms make it easier for teams to share institutional knowledge that AI systems surface. Secure identity and access management ensures employees receive the information they need while protecting sensitive government data.
These capabilities may not necessarily be described as AI initiatives, but they directly influence how effectively AI can be integrated into everyday work.
For government technology leaders, this represents an important shift in thinking. Rather than viewing the digital employee experience and AI readiness as separate priorities competing for resources, agencies can recognize that progress in one area strengthens the other.
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