Automation Anywhere is positioning itself for the next phase of intelligent automation with a strategic shift from traditional robotic process automation (RPA) toward what it calls Agentic Process Automation (APA). This weekly summary reviews the company’s latest communications outlining its new roadmap, value propositions, and early enterprise results from AI-agent deployments.
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Across several updates, Automation Anywhere frames APA as an evolution beyond rules-based task automation, coordinating multiple AI agents across complex workflows to enable more intelligent, end-to-end automation. The company highlights three core value pillars: decision automation capable of handling judgment-based processes, adaptive workflows designed to remain resilient under changing business conditions, and improved return on investment by unifying data, context, and execution within a single automation fabric. This approach aims to move customers from automating discrete tasks to orchestrating autonomous processes across the enterprise.
The APA roadmap sets explicit adoption goals and a structured implementation model. According to the company, while traditional RPA typically automates 10–30% of business processes, APA is designed to allow over 50% of processes to run independently and potentially automate up to 80% of overall work, with humans overseeing higher-value exceptions. Customers are encouraged to start by targeting high-friction manual workflows, such as order processing, run a pilot automation within 90 days, and track “percentage autonomy” as a key performance metric. Automation Anywhere is also promoting supporting materials, including an e-book, to guide organizations on scaling automation initiatives.
To reinforce the business case, Automation Anywhere is spotlighting large-enterprise case studies that quantify savings from AI agents. Examples cited include Petrobras reportedly saving $120 million within three weeks and a global supply chain customer reducing inventory costs by $200 million through AI-driven automation on the company’s platform. While these figures reflect customer outcomes rather than direct revenue, they help substantiate the company’s claims that AI agents can deliver rapid, material efficiency gains.
From a financial and strategic perspective, the shift to APA and AI agents, if adopted at scale, could support higher-value use cases, increase average contract sizes, deepen customer lock-in, and strengthen competitive positioning against both legacy RPA vendors and newer AI-native automation platforms. The emphasis on measurable ROI, autonomy metrics, and quick 90-day pilots is tailored to accelerate sales cycles and encourage broader deployment. However, the updates remain largely promotional and do not provide visibility into contract values, margins, adoption rates, or product release timelines, leaving the direct impact on near-term financial performance unclear.
Overall, the week underscores Automation Anywhere’s intent to redefine its role in the automation market around autonomous, AI-driven process orchestration, supported by early large-enterprise case studies that highlight significant cost savings but stop short of detailing the company’s own financial outcomes.

