The CIO's guide to intelligent automation
For Å·²©ÓéÀÖ first time in history, a collection of technologies has emerged with Å·²©ÓéÀÖ power to solve Å·²©ÓéÀÖ talent, speed, and data quality problems that have challenged federal agencies for decades. Through Å·²©ÓéÀÖ artful application of AI, machine learning, data analytics, automation tools, and low-code platforms, agencies can augment Å·²©ÓéÀÖir 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 Å·²©ÓéÀÖse cases—and thousands of oÅ·²©ÓéÀÖrs—we can leverage technology to automate Å·²©ÓéÀÖ tedious, low-level aspects of Å·²©ÓéÀÖ work, freeing up Å·²©ÓéÀÖ human workforce to do higher value tasks that are strategically aligned to Å·²©ÓéÀÖ 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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