Automation Anywhere
Harnessing AI and Automation

Automation is redefining business operations across IT, HR, healthcare, finance, and manufacturing, with AI-driven solutions accelerating the shift toward intelligent process management. Integrating AI into autonomous software is no longer just about attaining efficiency—it’s a strategic imperative for organizations looking to unlock enhanced agility, scalability, and decision intelligence in the AI era.

The convergence of AI and automation is ushering in a new paradigm, where digital workers—varying from AI agents, co-pilots, chatbots, and API integrators—automate 40 to 80 percent of workflows. These systems go beyond routine task execution, embedding cognitive capabilities that optimize decision-making, streamline operations, and drive competitive advantage.

Yet, the challenge for CIOs isn’t just adopting AI-powered automation; it’s ensuring seamless integration across enterprise ecosystems to support people. Achieving this requires an agentic process automation platform that is autonomous and capable of working within existing infrastructure while continuing to evolve.

Automation Anywhere is a leader in Agentic Process Automation (APA), providing enterprise-grade AI-powered automation for mission-critical business processes. Their solution is built with a cloud-native architecture and a user-friendly interface to optimize business workflows through automation.

The platform combines the power of two major technologies—AI and automation—learning from over 300 million automations and integrating foundational LLMs to deliver unparalleled capabilities.

“We have been deploying our agentic process automation platform for over a year, combining AI and automation to automate a broad range of high-level operations across industries,” says Ankur Kothari, Co-founder and COO, Automation Anywhere.

The company provides personalized automation services through AI agents that understand, process, and resolve critical queries. Unlike personal productivity and captive environment AI agents, Automation Anywhere’s AI agents are enterprise-level systems that work across applications, enabling end-to-end work orchestration.

The agentic platform facilitates the development of agents tailored to specific processes through AI and automation. Its AI-driven core is optimized to meet diverse client requirements and connects AI with an action layer that utilizes RPA and API automation in prebuilt workflows. Automation Anywhere leverages this competitive edge to ensure enterprise-level processing, partnering with the three leading hyperscalers in cloud solutions. It also embeds comprehensive governance and security frameworks into its platform, ensuring security, preventing AI hallucinations, and providing essential compliance tools.

We have been deploying our agentic process automation platform for over a year, combining AI and automation to automate a broad range of high-level operations across industries

To enhance customer experience, financial efficiency, and organizational productivity, many businesses deploy Automation Anywhere’s APA platform to overcome siloed vendors. One such company is Petrobras; the company experienced significant revenue loss due to manual tax computation processes.

Rather than automating individual processes, Automation Anywhere created an AI agent specifically for Petrobras’ tax computation. The interface enabled the company to select the correct tax codes and integrate with an AI-led automation process to manage the entire workflow. This system now manages 80 percent of operations, saving Petrobras hundreds of millions, and transforming tax computation with greater accuracy and efficiency.

Automation Anywhere is dedicated to helping businesses integrate AI with human teams, improve service-level agreements (SLAs), and monetize services. It continually strives to maintain quality standards and stay ahead of emerging market trends as industries shift toward AI-driven automation and companies break down silos to embrace APA platforms.

This commitment to automation reflects sustained confidence in AI's potential—a confidence that has endured economic recessions and fluctuating tech investments since 2008 and is likely to continue well into the future.