Enterprise automation vendor Automation Anywhere reported that 61% of its fourth-quarter software bookings came from AI-powered solutions, reflecting a broader shift in enterprise technology adoption—from experimental AI pilots to production-scale automation running core business operations.

Artificial intelligence adoption across enterprises is entering a new phase. After years of experimentation, organizations are now deploying AI systems that automate operational workflows, resolve service requests, and execute business decisions.

New financial results from Automation Anywhere highlight this transition. The company reported that AI-driven products accounted for 61% of its software bookings in the fourth quarter, signaling growing enterprise demand for automation solutions capable of delivering measurable operational impact.

The company, which focuses on Agentic Process Automation (APA), said the results reflect a broader shift toward what it calls the “autonomous enterprise”—a model where AI-powered agents run business processes alongside human teams.

“Companies are moving past pilots and into production,” said Mihir Shukla, CEO and chairman of Automation Anywhere. “Organizations are deploying AI solutions by department—from autonomous IT service management to finance and customer support—on the path to becoming autonomous enterprises.”

AI Automation Moves Into Core Business Functions

Enterprise adoption of AI-powered automation has accelerated as organizations attempt to increase efficiency, reduce operational costs, and respond faster to changing market conditions.

Automation Anywhere’s results indicate that large enterprises are beginning to scale automation across entire departments rather than deploying isolated AI tools.

The company reported a 23% increase in enterprise customers generating more than $1 million in annual recurring revenue (ARR), suggesting expanding usage among large organizations.

Its base of agentic AI customers more than doubled during the quarter, driven in part by forward-deployed engineering teams that help convert AI pilot projects into full enterprise deployments.

Agentic automation differs from earlier robotic process automation (RPA) technologies by incorporating AI models capable of reasoning, decision-making, and multi-step workflow execution.

Instead of simply automating repetitive tasks, agentic systems can analyze incoming data, determine the appropriate action, and execute workflows across enterprise applications.

Expanding Use Cases Across Enterprise Operations

Automation Anywhere said demand for its AI solutions is growing across a wide range of business functions.

Organizations are increasingly deploying automation across areas such as:

• Customer service operations
• IT service management (ITSM)
• Finance and accounting workflows
• Human resources operations

For example, the company recently signed a multi-million-dollar agreement with a U.S. healthcare system to automate patient data management, scheduling, and administrative tasks while maintaining regulatory compliance.

Highly regulated sectors such as healthcare and financial services are emerging as key adopters of AI-driven process automation because they manage large volumes of repetitive workflows that require strict governance.

Strategic Partnerships and Product Expansion

Automation Anywhere has expanded its automation capabilities through acquisitions and strategic partnerships.

The company recently acquired Aisera, a provider of AI-driven service management tools, to strengthen its ability to deliver autonomous solutions for IT support and customer service operations.

It also announced a collaboration with OpenAI to combine Automation Anywhere’s enterprise workflow insights with advanced reasoning models.

The partnership aims to enable AI systems that can interpret business requests, make operational decisions, and execute complex processes across multiple enterprise systems.

These capabilities represent an evolution of traditional automation platforms into AI-powered operational orchestration systems.

Financial Momentum and Enterprise Demand

Beyond AI adoption metrics, Automation Anywhere reported strong financial performance.

The company said it exceeded its EBITDA guidance and recorded its 10th consecutive quarter of non-GAAP profitability and positive free cash flow.

Remaining Performance Obligations (RPO) and annual recurring revenue also grew at double-digit rates year over year, indicating sustained demand for enterprise automation solutions.

Industry analysts note that automation platforms are increasingly becoming foundational infrastructure for digital transformation.

According to Gartner, by 2027 over 50% of enterprise organizations are expected to deploy some form of AI-driven process automation to support operational decision-making and workflow orchestration.

The Rise of the Autonomous Enterprise

Automation Anywhere’s strategy centers on the idea of the autonomous enterprise, where AI systems handle large portions of operational workloads.

In this model, digital agents continuously monitor systems, resolve routine issues, and escalate exceptions to human employees when needed.

Technology providers across the ecosystem—including Microsoft, Google, and Amazon—are also investing heavily in AI agents capable of performing complex enterprise workflows.

The shift has gained momentum among global business leaders. Discussions at the World Economic Forum in Davos earlier this year highlighted the growing role of AI in operational decision-making and enterprise productivity.

Automation Anywhere’s leadership has been involved in those conversations as part of broader industry efforts to define responsible AI adoption strategies.

Skills and Workforce Transformation

As automation expands across enterprises, companies are also investing in workforce development.

Automation Anywhere said it plans to train two million individuals in automation and AI technologies by 2030, with more than 650,000 learners already participating in its training programs.

Reskilling initiatives like these are becoming essential as organizations adapt to hybrid work environments where human employees collaborate with AI-powered systems.

What It Means for Enterprise Technology Strategy

For enterprise CIOs and digital transformation leaders, Automation Anywhere’s results provide evidence that AI automation is moving beyond experimentation.

Organizations are increasingly seeking platforms that combine AI reasoning, workflow orchestration, and enterprise governance.

As companies scale automation across departments—from IT service management to finance and customer support—AI-driven platforms are likely to play a central role in enterprise operations.

Industry observers say the next phase of digital transformation will not focus solely on AI models themselves, but on how effectively organizations integrate those models into real-world business workflows.

Market Landscape

The global automation software market is rapidly expanding as enterprises invest in AI-driven operational efficiency.

Research from IDC estimates that global spending on AI technologies will surpass $500 billion by 2027, much of it tied to automation and decision systems embedded in enterprise applications.

Meanwhile, McKinsey & Company estimates generative AI could deliver productivity improvements of up to 40% in certain operational functions, including customer support and administrative workflows.

Automation platforms that combine agentic AI, , and enterprise governance are increasingly emerging as foundational components of modern digital operations.

Top Insights

• Automation Anywhere reported that 61% of its fourth-quarter software bookings came from AI-powered solutions, highlighting growing enterprise demand for agentic automation technologies.

• The company’s enterprise customer base expanded significantly, with a 23% increase in organizations generating more than $1 million in annual recurring revenue.

• Strategic initiatives, including the acquisition of Aisera and collaboration with OpenAI, aim to accelerate the development of autonomous enterprise workflows.

• Enterprises across sectors such as healthcare are deploying AI automation to streamline operational processes while maintaining governance and regulatory compliance.

• Industry analysts expect AI-driven process automation platforms to become core infrastructure as organizations scale automation across business functions.

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