Experience requirements are wonderfully convenient until somebody interesting fails to meet them. In 2017, Bhavyesh Virani helped make an exception for Rahul Khatti, a 17-year-old New Jersey student who wanted to learn robotic process automation. WonderBotz gave him a tuition-free place on its two-week boot camp. The years on the résumé could wait; the exam could not.
Khatti passed the Blue Prism developer exam on September 1. Virani explained the decision in terms of encouraging curiosity and talent. The company had relaxed its usual experience rule, then put the student through the training. Permission to begin came with an opportunity to demonstrate competence.
It is a small episode in a business now occupied with enterprise AI, but a revealing place to start. Virani’s public career keeps returning to the distance between a promising capability and useful work. A teenager could learn the tools. A company could buy the software. The interesting question was what either would accomplish next.
A career on the delivery side
Before WonderBotz, Virani led the automation practice at EY. His expertise spans data innovation, governance, automation strategy and technology delivery. Those subjects have a family resemblance: each eventually requires somebody to make decisions about how work should proceed, who owns it and whether the information underneath it deserves to be trusted.
His work on the subject predates the company. His 2016 publications included EY Robotics presentations for the Society of Insurance Financial Management and the Insurance Data Management Association. The intelligent enterprise was already part of his professional agenda before the current enthusiasm for AI agents.
He co-founded WonderBotz with Steve LaValle. The company dates its founding to 2017. Today they share the chief executive role, with distinct responsibilities. LaValle concentrates on client engagement and business improvement; Virani leads technology strategy, solution design, delivery and quality. One can see the practical appeal. A promise made to a client has a named counterpart responsible for making the machinery behave.
A shared title can sound like an invitation to duplicate meetings. Here, the published division of work gives it a more concrete meaning. The commercial conversation and the technical conversation belong inside the same business. Neither gets to declare victory while the other is still sorting out the details.
Based in Plainsboro, New Jersey, Virani studied operations research at the Indian Institute of Science in 1990-1991. His professional credentials include a Blue Prism Professional Developer certification and a UiPath Diploma. These details suit a career concerned with the workings of things: the choices behind a process, the sequence of its actions, the discipline required to keep it useful.
How big is the job, really?
In 2018, Virani was already asking clients to think beyond their first automation. Before deciding how to manage a program, he argued, they needed to understand the likely size of the work ahead. A few automated processes and a substantial portfolio bring different costs, benefits and management requirements. Buying the same enthusiasm for both would be an expensive form of politeness.
WonderBotz’s early approach included workshops, mentoring and working alongside client teams as they built their first automations. It also supported organizations that already had their own development capacity. The starting point depended on the client’s situation. A team discovering automation needed a different kind of help from one trying to expand it.
That distinction matters in a field so fond of demonstrations. A demonstration can be arranged around the thing the software does well. An operating business must accommodate the work that actually arrives. Virani’s attention to program size brought the conversation back to the conditions under which the software would have to earn its keep.
There is a modesty to the question. Before asking how far a technology might take you, establish how much work you intend to give it. Ambition becomes easier to assess once it has a workload attached.
The unglamorous art of making it repeatable
WonderBotz developed prebuilt finance and accounting solutions, including ReconBotz and ReportBotz. Their names make few concessions to mystery. Reconciliation and reporting are recognizable jobs with recognizable demands. For a technology executive, they also pose a useful challenge: how much of a recurring problem can be solved once and reused, while still fitting the client’s existing systems?
The company’s finance suite covered record-to-report, procure-to-pay and order-to-cash work. Its approach used existing accounting systems to carry out tasks for teams. That is a less theatrical ambition than replacing everything. It also keeps the conversation close to the people who must live with the result.
Recognition followed the delivery work. In 2020, WonderBotz received Blue Prism’s Best Practices and Implementation Specialty Partner of the Year award. In 2021, it received a global cloud partner award and two Americas awards covering best practices and cloud solutions. Virani dedicated the recognition to the team, emphasizing quality and effort.
Building that work meant bringing in people with experience of running it. When Vivek Goel joined to lead India operations, Virani emphasized his consulting background and experience managing global teams. The role was based in Ahmedabad. The promise of an international delivery business depended on the people doing the delivery, and on their ability to connect technical work with a client’s circumstances.
Cameron Linares brought another kind of experience when he joined as a principal consultant: he had led automation work at ViacomCBS. Virani welcomed the addition to the customer success team. These appointments give the leadership story some texture. The company’s frameworks were accompanied by hiring decisions about who could help clients put them into practice. A method needs practitioners; otherwise it is only an unusually well-formatted opinion.
That September, WonderBotz also received UiPath Service Network certification. The credential covered delivery capabilities such as development, process analysis, infrastructure and architecture planning. These are the backstage departments of automation. They rarely improve a keynote slide, but they have considerable influence over Monday morning.
“Launch day is the easy day.”
Bhavyesh Virani, August 2026
Two founders, one operating argument
As the language of automation shifted toward AI agents, Virani and LaValle developed Agentic Process Management, or APM. Their September 4, 2025 fireside chat introduced an approach to coordinating people, software robots and AI agents around business objectives. The emphasis was on the whole process and its continuing management.
The playbook’s principles favored coordination across steps, reusable capabilities, business goals, data integrity and sustained oversight. In ordinary language, the authors were asking leaders to look at how the work fits together. A collection of completed tasks offers limited reassurance if the resulting process fails to serve the original purpose.
The framework also asks something of leadership. An autonomous agent still operates within decisions about acceptable behavior, objectives and escalation. Giving software more room to act creates a continuing management responsibility. Someone has to remain interested in what it is doing once the initial excitement has become routine.
There was a lighter accompaniment to the webinar. WonderBotz shared an invitation clip in which its two co-CEOs had enough fun that Paula Carneiro Cox stepped in to get the actual invitation delivered. The company chose to show the outtakes. For a business explaining orchestration, it was a pleasingly human example of an extra person helping a process reach its intended conclusion.
The dashboard can be green
In August 2026, WonderBotz announced its first appearance on the Inc. 5000, at No. 2,421. The company reported 137 percent revenue growth between 2022 and 2025, alongside a 220 percent increase in client logos. Those figures describe company growth during Virani’s co-leadership; they are not a measure of his personal wealth or an individual performance score.
Company-reported growth, announced August 2026. Different measures; the same reporting period.
Virani used the occasion to discuss a less celebratory subject: drift. His warning was that automated work could continue while quietly becoming less useful to the business. A dashboard might remain reassuring throughout. His memorable opening was that launch day is the easy day.
The concern helps explain WonderBotz’s AlwayzOn managed services, which combine continuing support, governance and coordination. A process has a life after its initial deployment. It needs attention as circumstances change. The ribbon-cutting photograph has its uses, but it is a poor maintenance plan.
Build, borrow, and mind the foundations
The next chapter arrived in October 2026. WonderBotz relaunched its APM playbook with an explicit data foundations layer beneath orchestration, fidelity and stewardship. The October 20 announcement also added Anthropic and Tungsten Automation to its partner ecosystem. Data quality, the company argued, deserved the same explicit treatment as the management disciplines depending on it.
Virani described a practical test for new capabilities: whether building or borrowing would get the client to scale faster. Using partner technology allowed WonderBotz to direct its own development toward the connection between a model and a governed business outcome. There is little romance in making every component yourself when a client is waiting for the complete job.
A conceptual diagram of the playbook’s named disciplines, not a performance chart.
Across the years, the vocabulary has changed more than the recurring problem. Early RPA work raised questions about training, scale and management. Agentic AI brings those questions into systems with greater freedom to act. Virani’s role places him close to the point where an attractive idea must become dependable work.
The tuition-free boot camp offers a human echo of that approach. In 2017, an experience requirement gave way to a chance to learn, followed by an exam. Years later, the technology is different and the organizations are larger. The insistence on doing something useful with the opportunity remains a good place to look for Bhavyesh Virani.