What is Intelligent Automation?
Intelligent automation (IA), also called cognitive automation, is the use of automation technologies — artificial intelligence (AI), business process management (BPM), and robotic process automation (RPA) — to streamline and scale decision-making across organizations.
Why it matters
The integration of these three components creates a solution that streamlines processes, simplifies workflows, and improves operational efficiencies to ultimately enhance customer experience. This approach automates processes that rely on manual tasks or legacy systems, which tend to be resource-intensive, costly, and error-prone — freeing humans to focus on judgment-heavy work that truly needs them.
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Read the decision-intelligence playbooks that put this concept to work at Fortune 50 scale.
Related concepts
Business rules guide the everyday decision-making within businesses by outlining the relationships between objects, such as customer names and their corresponding orders. Business rules provide the foundation for automation systems by taking documented or undocumented information and translating it into various conditional statements.
Decision intelligence is a data-driven process that enables you to rapidly make faster, more accurate fact-based decisions rather than relying on intuition or gut feel. The approach combines decision-making techniques with AI, ML, contextual intelligence, and automation to generate actionable business recommendations. Rather than replacing human judgment, Decision Intelligence augments human ability to make better and more consistent decisions.
Decision velocity is the use of data to rapidly make informed decisions. Through the combination of analytics, automation and AI, organizations can vastly improve decision accuracy and velocity.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI employs sophisticated analysis and logic-based techniques—including machine learning—to interpret events, facilitate and automate decisions, and execute actions. This technology enables machines to understand, respond to, and learn with human-comparable levels of intelligence.
