Kapil Vyas, CIO of Automation Anywhere, Wins the CIO 100 Award 2026 for the Third Consecutive Year Leading the Transition to an AI-Powered Autonomous Enterprise
The CIO 100 award is one of the most respected recognitions in enterprise technology, and winning it three times in a row is no small feat.
That is exactly what happened with Kapil Vyas, CIO of Automation Anywhere, who was just announced as the winner of the CIO 100 Award 2026 by Foundry’s CIO, marking the third consecutive time he has received this honor.
But what makes this achievement different from the previous ones is not just the number of trophies on the shelf.
Behind this recognition lies a story of real Digital Transformation, with numbers that impress and an approach that is changing how companies around the world see the role of Artificial Intelligence in everyday business.
Automation Anywhere is recognized as a leading provider of Agentic Process Automation (APA) and AI agent-based solutions. Over three years, the company went beyond pilot projects and innovation promises and actually built one of the first Autonomous Enterprises in the world — a model where humans and AI agents work together as a unified workforce.
And the most interesting part is that the company used itself as the guinea pig for its own model.
In the words of Mihir Shukla, CEO and chairman of the board at Automation Anywhere: as we enter a new era of work, success with AI is no longer measured by the number of bots deployed. What matters now is how autonomous the company is becoming, how people and AI agents work together, and how you build an operating model that can keep up with what lies ahead.
In the next sections, you will understand how this journey was built, what results were achieved with Automation at real scale, and what this movement signals for the future of work — including for companies that are still taking their first steps with AI. 🚀
From Theory to Practice: How Automation Anywhere Built a Truly Autonomous Enterprise
Talking about Artificial Intelligence and Automation is easy. Any company can put together a slick presentation loaded with buzzwords and show off a pilot project that looks promising. What Automation Anywhere did was different: the company decided to turn its own operation into a living lab, internally applying everything it sells to its customers. This decision was not just bold — it was strategic. The company positioned itself as its own Customer Zero, facing the same challenges its corporate clients encounter every day: governance, systems integration, change management, and the constant need to prove return on investment in every department.
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By using its own solutions at scale, the company gained firsthand understanding of where the bottlenecks exist, where the technology truly delivers value, and where there is still room to evolve. And it was precisely this cycle of continuous learning that helped build what is now called the Autonomous Enterprise.
The journey started with a simple but powerful premise: what if humans and AI agents could work together as a unified workforce, each doing what they do best? Humans handling strategic decisions, relationships, and creativity, while AI agents take on repetitive tasks, real-time data analysis, and processes that previously consumed hours of manual work. This model is not science fiction — it was built process by process, department by department, over three years of consistent work driven by concrete results.
What stands out about this approach is that it did not depend on a single big flip-the-switch moment or a billion-dollar investment concentrated at one point in time. The Digital Transformation happened progressively, with each team absorbing the Automation tools and learning to work alongside AI agents in a natural way. This created an internal culture where technology is not seen as a threat to jobs but as an extension of human capabilities — and that is one of the greatest legacies Kapil Vyas leaves behind with this CIO 100 achievement.
The Three-Year Journey Toward the Autonomous Enterprise
The trajectory that brought Automation Anywhere to the level of an Autonomous Enterprise can be divided into three well-defined phases, each corresponding to a year of evolution. This progression was essential not only for internal results but also for the CIO 100 recognition to come three consecutive times — reflecting real advances in every cycle.
2024: Building the Foundation
In the first year, the focus was on establishing AI governance frameworks, forming an internal AI council, and introducing the first generative AI capabilities. The use cases chosen were low-risk and aimed at specific processes, with the goal of proving value and building the foundation needed to scale Artificial Intelligence across the entire company. This stage was essential for building internal trust in the technology and defining the success criteria that would guide the following phases.
2025: From Pilots to Production
With the solid foundation built in 2024, the second year brought scale. Agentic Automation was expanded to core business functions, and workflows began being redesigned end to end. The company left behind isolated use cases and moved toward enterprise-wide deployment, embedding AI into daily operations with measurable business impact. It was in this phase that the transition from pilots to real production happened consistently.
2026: Operating as an Autonomous Enterprise
In the third year, AI agents were deployed across areas such as Finance, IT, Sales, and Customer Support. The company established a hybrid workforce model where humans and AI agents operate together at scale, with corporate metrics and a formal scorecard that tracks progress toward full autonomy. This is the phase that cemented the triple recognition at the CIO 100.
As Kapil Vyas himself explained: the three consecutive CIO 100 wins tell the story of how an organization can evolve to operate successfully with AI at its core. The goal was to prove that a company could function with humans and AI agents working as a unified workforce, solving real problems around governance, scale, and trust in a way that others could learn from.
The Numbers That Prove Automation at Scale Works
When it comes to Automation and Artificial Intelligence, skeptics always ask for proof. And Automation Anywhere has plenty to show. Over the three years Kapil Vyas led the company’s internal Digital Transformation, the accumulated results were impressive enough to catch the attention of the CIO 100 jury for three consecutive editions.
The data released by the company itself is quite revealing:
- More than 90% of employees actively use AI tools and agentic systems on a daily basis.
- More than 90 agentic automations are deployed across different areas of the company.
- Hundreds of thousands of hours are returned annually through automation.
- Approximately 20% of the workforce is now agentic, a significant jump from the roughly 6% recorded in 2024.
- Return on investment reaches up to 15 times in key AI deployments, compared to the 2 to 3 times achieved with traditional automation.
- A reduction of approximately 25 to 30% in software licenses and IT spending, as AI systems take over work previously supported by traditional tools.
That last point is particularly interesting. The transition to an Autonomous Enterprise reflects a broader shift: from process-level automation to function-level augmentation. This fundamentally changes how companies think about software. As AI agents take on more execution and deliver direct outcome-based value, they can reduce dependency on and significantly cut spending on per-user license-based SaaS models.
Beyond the redistribution of human effort, operating as an Autonomous Enterprise generated significant gains in response speed and accuracy across internal processes. Areas like finance, customer service, IT operations, and sales now rely on AI agents that monitor, process, and execute tasks in real time without depending on human intervention at every step of the workflow. This reduced errors, accelerated approval cycles, and allowed the company to scale operations without needing to proportionally increase headcount.
This work resulted in a practical model for scaling AI in production. The AI Maturity Model and the Five-Pillar Operating Framework developed by the company now serve as a blueprint for clients navigating the same transition.
What these numbers ultimately reveal is that the bet on intelligent Automation is not a cost — it is an investment with measurable and fast returns. And when this strategy is led by a CIO who understands both the technical and human sides of the equation, the results show up even more consistently. Kapil Vyas managed to align the technology vision with the company’s business objectives in a way that convinced not only the market but also the employees themselves — and that alignment is perhaps the greatest indicator of success in this entire journey.
What the Autonomous Enterprise Model Means for the Future of Work
Kapil Vyas winning the CIO 100 Award 2026 is not just an individual or corporate celebration — it is an important signal for the entire industry. The Autonomous Enterprise model that Automation Anywhere built internally is becoming a concrete reference for organizations still trying to figure out how to integrate Artificial Intelligence and Automation sustainably and with real impact.
Advances in generative AI and agentic systems are already reshaping how corporate work gets done. As AI becomes more embedded in day-to-day execution, leaders are rethinking how work is structured, managed, and measured. In the years ahead, IT and transformation leaders will be responsible not just for deploying systems but for orchestrating how work gets done through a mixed workforce of people and AI agents. This introduces new challenges around governance, performance, and accountability — areas where many organizations are still at the beginning of the journey.
For a long time, the debate about AI in the corporate environment was stuck between two extremes: the overblown enthusiasm of those who promised immediate revolution and the skepticism of those who thought it was all hype. What Automation Anywhere demonstrated is that there is a middle path — and it is built with planning, disciplined execution, and a willingness to learn from your own mistakes.
Another important point this case brings up is the role of technology leaders in this process. The CIO 100 recognizes precisely those professionals who manage to go beyond technical management and become agents of change within their organizations. Kapil Vyas is a clear example of that: he did not just implement technology — he created a culture where Digital Transformation is part of the company’s DNA. And that is something you cannot buy with budget — you build it with leadership, communication, and long-term vision. For other CIOs and technology leaders following this recognition, the message is clear: the journey toward the Autonomous Enterprise is possible, but it requires real commitment to every stage of the process.
For companies still taking their first steps with AI and Automation, the Automation Anywhere case offers a valuable practical lesson: you do not need to have everything figured out before you start. What matters is having clarity about your objectives, choosing the right initial processes for automation, measuring results honestly, and adjusting course as needed. Digital Transformation is not a destination with a set date — it is an ongoing journey, and every step taken with consistency brings the company closer to the model that will define the future of work. 🤖✨
Why the CIO 100 Matters So Much to the Technology Sector
The CIO 100 is not just any award. It is run by CIO, one of the most respected publications in technology leadership, and part of the Foundry portfolio. Each year, the program selects 100 organizations and the teams within them that have demonstrated excellence in the strategic use of information technology to drive business — whether by creating competitive advantage, optimizing processes, enabling growth, or improving customer relationships. The award is recognized as a mark of corporate excellence.
Being nominated is already a significant recognition — winning places the organization in an exclusive group of global references in technology innovation. And winning the award three consecutive times, as Kapil Vyas did at the helm of Automation Anywhere, is something very few professionals have accomplished throughout the history of the program.
What the CIO 100 evaluates goes well beyond which tools or platforms a company uses. The jury analyzes how IT leadership connects the technology strategy to business outcomes, how Digital Transformation initiatives generate measurable impact, and how the organizational culture is transformed throughout the process. This means that winning the award is, first and foremost, a validation of leadership — and not just technological infrastructure. That is why the recognition carries so much weight in the market: it signals that the organization is not just using technology but using it well, with intelligence and clear purpose.
Executives from the winning companies will be recognized at the CIO 100 Awards and Conference, reinforcing the visibility and prestige associated with this achievement.
For the Artificial Intelligence and Automation sector specifically, having Automation Anywhere recognized three times by the CIO 100 is also a market validation of the relevance and maturity of these technologies in the corporate environment. Increasingly, companies of all sizes and industries are looking at cases like this for inspiration and direction. And the fact that the automation solutions provider itself is a success story in applying those solutions adds an extra layer of credibility that the market values — a lot. 💡
Automation Anywhere in Context
Automation Anywhere has been committed for over 20 years to defining the future of work by unleashing human potential through automation. The company enables this future through its leading Agentic Process Automation (APA) system, built for IT leaders and developers, as well as agentic solutions specifically designed for business leaders in finance, customer service, IT, and human resources. This combination of a robust technical platform with ready-made solutions for business areas is what sets the company apart in an increasingly competitive enterprise automation market.
Automation Anywhere’s journey toward the Autonomous Enterprise shows that Artificial Intelligence and Automation at real scale are not just possible — they are the most solid path to the Digital Transformation the market demands. And the CIO 100 is there to prove it.
