The conversation around artificial intelligence (AI) in federal information technology is shifting towards more complex applications. Mia Jordan, a public sector strategist at Salesforce and former Chief Information Officer, highlighted in a podcast that the current fragmented digital systems hinder government agencies' effectiveness. She noted that this disconnection is not just inconvenient but poses a serious structural risk, preventing agencies from achieving their full potential.
Jordan described the phenomenon of “swivel servants,” referring to employees who switch between various applications over 1,000 times each day. This repetitive task not only reduces productivity but also increases the likelihood of errors. The issues are particularly pronounced for agencies that require quick responses or handle complex procurement processes, as vital information is often scattered across non-centralized systems.
To address these challenges, Jordan suggests a reevaluation of operational structures within federal agencies. Rather than simply introducing new AI tools, she argues for creating a unified platform where AI can function as an integral component, coordinating tasks across departments. This shift would enable a streamlined workflow, allowing for the automation of routine processes like approvals and task assignments, ultimately enhancing operational efficiency.
While this integrated approach has clear benefits, federal IT leaders express caution regarding expensive “rip-and-replace” strategies for legacy systems. Jordan advocates for utilizing zero-copy data architectures, facilitating AI access to insights from multiple systems while mitigating associated risks and costs.