For the first time in history, a collection of technologies has emerged with the power to solve the talent, speed, and data quality problems that have challenged federal agencies for decades. Through the artful application of AI, machine learning, data analytics, automation tools, and low-code platforms, agencies can augment their human capabilities and provide better and more timely services—at scale.
What does this mean in practice? Think of any business process workflow. A contact center. An institutional knowledge base. A public health surveillance system. In all of these cases—and thousands of others—we can leverage technology to automate the tedious, low-level aspects of the work, freeing up the human workforce to do higher value tasks that are strategically aligned to the mission.
This paper, drawn from our digital transformation work with federal agencies, outlines:
- The tools and technologies that comprise intelligent automation, explained in plain language.
- Key architectural problems that intelligent automation addresses.
- Workflows within federal programs that are good candidates for intelligent automation.
- Foundational capabilities that federal agencies will need to evolve to support AI applications.
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