According to a recent LinkedIn post from Automation Anywhere, the company is positioning “agentic AI” as an extension of existing automation centers of excellence rather than a replacement. The post emphasizes that internal automation teams already understand production constraints, integrations, governance, exception handling, and risk management.
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The post suggests that agentic automation can leverage these established assets by enabling AI agents to generate new workflows from the organization’s trusted automation library. By highlighting insights from Emily Gal on what enterprise AI transformation looks like “beyond the demo,” the content appears aimed at large enterprises considering how to scale AI within current automation frameworks.
For investors, this framing indicates a strategy focused on upselling and deepening relationships with existing automation customers instead of pursuing purely greenfield AI deployments. If successful, this approach could support higher wallet share and stickier platform adoption as AI capabilities are layered onto legacy automation investments.
The emphasis on governance and risk may also resonate with highly regulated industries, potentially broadening Automation Anywhere’s appeal in sectors that have been slower to adopt generative AI. Positioning agentic AI as a way to compound value from established CoEs could help differentiate the company in a crowded enterprise AI and RPA landscape, where integration with real-world operations is a key buying criterion.