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Automation Anywhere reports 61% of software bookings from AI as companies adopt agentic automation in critical functions

The growth of Artificial Intelligence inside major corporations is no longer a distant promise — it has become a quarterly earnings staple.

Automation Anywhere just released its fiscal fourth-quarter results, and one number jumps out right away: 61% of the period’s software bookings came from AI-powered solutions.

That is not a small figure.

That single data point already tells a pretty clear story about how companies are relating to automation right now — and spoiler: the testing phase is over. 🚀

What is happening now is different from what we saw two or three years ago, when most organizations were still crawling through pilot projects with very little commitment to scale. Today, the conversation has shifted. Corporations are putting Artificial Intelligence to work on core business functions, for real, with measurable impact in finance, IT, HR, and customer service. And Automation Anywhere’s numbers are a precise barometer of that movement — both because of the impressive growth in its enterprise customer base and because of what they reveal about the current state of the intelligent automation market. 📊

What Automation Anywhere’s numbers reveal about the market

When 61% of software bookings from an automation company come from Artificial Intelligence-based solutions, that is neither a coincidence nor a well-executed marketing strategy. It is a direct reflection of real demand coming from technology, operations, and business teams inside companies. That number indicates that corporate decision-makers are no longer asking for generic automation proposals — they want to know specifically what AI can do for their process, how fast, and with what expected financial return. The question has shifted from does it really work? to how long will it take to scale?

The released data brings a few additional highlights worth paying attention to. The number of enterprise customers with more than 1 million dollars in Annual Recurring Revenue (ARR) grew 23% during the period. On top of that, the company’s agentic solutions customer base more than doubled, driven by dedicated engineers who converted AI pilots into full-scale deployments. The company also reported double-digit growth in both non-GAAP ARR and RPO (Remaining Performance Obligations) year over year, reinforcing the sustainability of this adoption wave.

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On the financial side, Automation Anywhere reached its tenth consecutive quarter of non-GAAP profitability and positive free cash flow, while also exceeding EBITDA projections. For a company operating in a highly competitive market that requires constant investment in research and development, maintaining that kind of financial consistency while growing is a meaningful sign of operational maturity.

Mihir Shukla, CEO and board chair of Automation Anywhere, summed up the moment well when he said that companies are leaving pilots behind and moving into production by leveraging AI solutions that deliver fast returns and a clear path to scale. According to him, companies are deploying agentic automation department by department — building autonomous ITSM, autonomous finance, autonomous support — and beginning a journey toward becoming autonomous enterprises.

It is also worth remembering that the AI automation market is no longer a niche occupied by experimental startups. Platforms like Automation Anywhere’s compete directly with giants like Microsoft, ServiceNow, and SAP for the digital transformation budgets of large companies. The fact that the company is registering this volume of AI-driven bookings shows it is managing to position itself effectively in this highly competitive market — and that demand is large enough for everyone to grow together. 📈

Aisera acquisition and OpenAI partnership expand the portfolio

Part of that growth in AI numbers is directly tied to strategic moves Automation Anywhere made during the quarter. The acquisition of Aisera expanded the company’s ability to deliver ready-to-use solutions in areas like IT service management (ITSM) and customer support. With this addition, the platform now allows companies to resolve service requests and operational tasks autonomously while maintaining governance and regulatory compliance — something fundamental for industries like healthcare and finance.

In healthcare, in fact, the company closed a multimillion-dollar deal with a national health system to support AI-driven automation in areas like patient data management, scheduling, and administrative workflows. This type of contract shows that even highly regulated environments are ready to incorporate intelligent automation into critical processes, as long as the solution provides the necessary compliance controls.

Another standout move during the quarter was the strategic collaboration with OpenAI. The partnership combines Automation Anywhere’s deep knowledge of how work actually gets done inside organizations with OpenAI’s latest reasoning models. The result is solutions capable of solving problems, making decisions, and executing actions across multiple systems within governed environments. In practice, this means AI agents that do not just automate isolated tasks but orchestrate complex business processes with contextual intelligence.

These two moves — the acquisition and the partnership — reinforce a strategy that combines portfolio expansion with deeper technological capability. For customer companies, the benefit is being able to find on a single platform both pre-built, validated solutions that deliver value quickly and tools to create custom automations that generate competitive advantage. 🔧

How intelligent automation is changing daily corporate life

Automation powered by Artificial Intelligence is no longer limited to simple, repetitive tasks like filling out forms or moving data between systems. What is happening right now inside companies that have seriously adopted these platforms is far more sophisticated: AI agents that make contextual decisions, interpret unstructured documents, interact with legacy systems, and execute entire workflows with minimal human oversight. This represents a major turning point in how corporate work is being designed — and the trend is that this level of autonomy will increase even more in the coming quarters.

In finance and accounting, for example, processes like bank reconciliation, invoice validation, and tax report generation are already being executed by automated systems that learn from the company’s own historical data. In HR, new employee onboarding, benefits management, and engagement metric monitoring now have layers of automation that reduce operational time for teams and free up professionals for higher-value strategic activities. In IT, incident management, patch deployment, and real-time infrastructure monitoring already operate with a high degree of automation across many organizations around the world.

The most visible impact of all this shows up in the productivity and operational cost metrics of these organizations. When a company manages to automate processes that previously required entire teams working on manual tasks, the result is not just cost savings — it is also speed, consistency, and scalability. A process that used to take three days now gets completed in minutes. An analysis that depended on a senior analyst can now be generated automatically based on predefined parameters. This kind of operational growth is exactly what is driving AI solution bookings on platforms like Automation Anywhere’s. 💡

Presence at the World Economic Forum and commitment to reskilling

Beyond the financial results, Automation Anywhere made a notable appearance at the World Economic Forum in Davos, where global attention visibly shifted from AI experimentation to discussions about real-world deployment. Mihir Shukla, serving as an ICT Governor at the Forum, participated in multiple official and accredited panels on the agentic enterprise and the future of intelligent operations. The event generated coverage from heavyweight outlets like The Wall Street Journal, Fortune, Axios, and Business Insider, amplifying the company’s visibility among global business and government leaders.

One aspect that deserves special attention is the company’s commitment to responsible AI adoption. Through its professional reskilling initiatives, Automation Anywhere has set a goal of training two million people by 2030. The program has already reached more than 650,000 learners through free and accessible education. At a time when concerns about automation’s impact on the job market are both legitimate and frequent, investing in training at scale is a concrete way to demonstrate that technological progress and workforce development can move forward together.

The autonomous enterprise concept and the Imagine 2026 event

The vision Automation Anywhere is articulating for the future goes beyond automating individual processes. The central concept is the Autonomous Enterprise — an operating model where AI systems can execute, adapt, and scale operations side by side with people. It is not about replacing humans, but about creating an organizational architecture where AI handles high-volume operational execution while professionals focus on strategy, creativity, and decisions that require human judgment.

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This theme will be the central focus of Imagine 2026, the company’s user conference, scheduled for May 19 and 20 in Dallas. At the event, corporate leaders will share how they are deploying AI to run critical business functions and scale adoption across their organizations. Conferences like this serve as a practical gauge of what is actually happening in the trenches of digital transformation — unlike generic keynotes, customer stories tend to bring real impact data and lessons learned along the way.

What to expect from the AI automation market in the coming months

The scenario shaping up for the next few quarters points to continued acceleration. Companies that have already started their intelligent automation journey are expanding use cases, increasing the number of covered processes, and deepening integration with other tools in the corporate ecosystem. Those still in the early stages are feeling growing competitive pressure to move faster — because competitors who have already automated significant parts of their operations are consistently gaining efficiency and speed, which translates into real market advantage.

Another factor that should further accelerate this movement is the decreasing cost and democratization of AI tools. With language models becoming increasingly accessible and low-code and no-code platforms enabling the creation of complex automations without deep programming knowledge, the barrier to entry for adoption is dropping significantly. This means it is not just large corporations that will benefit from this growth cycle — mid-sized companies are also entering the equation with increasing momentum, expanding the addressable market for solutions like those from Automation Anywhere.

Agentic Artificial Intelligence — meaning AI systems capable of acting autonomously to complete complex objectives without constant human intervention — is probably the biggest topic in the industry right now. Automation platforms are already incorporating these agents into their products, and companies are starting to understand how to orchestrate these systems safely and efficiently within their environments. The bookings showing up in quarterly reports from major automation vendors are, in practice, the financial reflection of a market that is quietly redesigning how corporate work functions — and that redesign is just getting started. 🤖

With more than 20 years in the automation market, Automation Anywhere positions itself as one of the leaders in Agentic Process Automation (APA), offering both a platform for IT leaders and developers and ready-made solutions for business areas like finance, customer service, IT, and HR. Double-digit growth in key metrics and the accelerated expansion of the agentic customer base reinforce that the strategy of betting heavily on AI integrated with automation is paying dividends.

The figure of 61% of software bookings from AI is not just a business result — it is a clear signal that AI adoption in companies has moved beyond talk and landed firmly on the investment spreadsheet. And anyone still waiting for the right moment to ride this wave may be leaving room for competitors to build an advantage that will be hard to recover.

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