Instilling AI Deeper into the Public Sector for More Agile Admistration

REI Systems, a leader in delivering innovative and reliable technology solutions to the federal government for over 35 years, has officially announced the launch of advanced new artificial intelligence (AI) solutions, powered by its “Mindful AI, Meaningful Impact” approach, solutions that are designed to help federal agencies enhance efficiency and maximize mission impact.

According to certain reports, these innovations arrive on the scene bearing an ability to help the public sector streamline operations, reduce manual tasks, improve team performance, and deliver actionable insights, while simultaneously ensuring responsible AI adoption which can drive tangible results for citizens and stakeholders.

More on that would reveal how the assortment includes technologies like intelligent search, multi-agent systems, conversational chatbots, and intelligent recommendation systems, each one capable of helping agencies across the board improve agility and operational efficiency, as well as customize the experience for every single user.

Talk about REI’s latest solutions on a slightly deeper level, we begin from its intelligent search solution, which can effectively deliver context-relevant insights and just-in-time results through natural language-like interactions to facilitate a seamless and efficient user experience.

Next up, we must dig into the all-new predictive analytics facility. These predictive analytics, on their part, make it possible for government to take pre-emptive action with risk assessments, anomaly detection, fraud prevention, and forecasting. By doing so, like you can guess, the facility enables better policy decisions and resource optimization.

Moving on to the availability of efficient workflows, they stem from REI’s multi-agent systems and conversational chatbots that can guide users through complex or multi-step processes. In essence, this agentic automation eliminates repetitive tasks, improves accuracy, and frees up staff for higher-value work.

Then, there is the potential for personalized experiences. Here, you can basically come expecting recommendation systems that are capable of anticipating user needs so to provide tailored interactions, along with bonus self-service options to cut down on operational costs.

The development in question will markedly build upon REI’s already-proven track record of assisting federal agencies. You see, when deployed at the U.S. Citizenship and Immigration Services (USCIS), REI’s anomaly detection models were able to meaningfully reduce system failures and streamline application workflows.

Next up, Health Resources and Services Administration (HRSA) further leveraged the company’s chatbot cut desk inquiries by almost 25%, thus resulting in fewer problems for users.

General Services Administration (GSA) also roped in REI’s fully automated robotic process automation (RPA)-based solution to save end-users a whopping $10M of manual work in migrating 65,000 custom reports to a data bank.

Joining the mix is also the US Food and Drug Administration (FDA), who used the company’s AI-enabled image recognition and processing technology to ensure the accuracy of food and drug labels.

Apart from that, REI has even developed a natural language processing (NLP)-based system for the Department of Commerce (DOC) to map thousands of IT spending records to their TBM taxonomy, and therefore, reduce manual mapping time from weeks to minutes with 97% accuracy. Such a setup, all in all, supported the agency to track their costs in a better and faster fashion.

“Our decade-long experience in federal AI and data analytics has enabled us to help transform federal operations, from enhancing customer service at HRSA, speeding up imports inspections at FDA, and streamlining application processing at USCIS,” said Anand Trivedi, AI offering lead at REI Systems. “We look forward to continuing to help agencies make smarter decisions, modernize workflows, and deliver better services to citizens at lower costs.”

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