Technology tends to celebrate vision in its most theatrical form, rewarding the executives attached to the loudest categories and the biggest claims. Equally important are the leaders working in the parts of business that still have to function no matter what the market is excited about. They are operators, building in the parts of business where companies first begin to slow down or break.
CEOs Françoise Brougher, Keith Rabkin, Neil Araujo, and Betsy Ziegler are working in different corners of the market, but each has built with a clear view of where companies still tend to weaken: in global hiring, in agreement workflows, in the handling of sensitive information, and in the long stretch between an idea and a durable business. Their companies do different things, but their brilliance is recognizably similar: the judgment to see where a business is most exposed and act accordingly.
For Françoise Brougher, that pressure point is global employment. At Pebl, the AI-first global employment platform formerly known as Velocity Global, she is working on one of the harder realities of modern business: companies may want to hire wherever the right talent is, but payroll, compliance, onboarding, and reporting still have to function across borders and legal regimes. Under her leadership, Pebl rebranded in 2025 and continued expanding its platform across more than 185 countries, including the rollout of crypto-ready payroll. At Pebl, Brougher has described the goal as giving companies “the flexibility and speed to lead, not react.”
Hiring across borders solves one problem, but it does not solve what happens once the work begins to move. At PandaDoc, Keith Rabkin is focused on the agreements, proposals, approvals, and signatures that still slow ordinary business down. He became Chief Executive Officer in January 2026 after serving as president and earlier as chief revenue officer, and he has helped lead PandaDoc through a broader expansion of its product suite, including new CPQ capabilities and an AI-native MCP release designed to support document creation, routing, and execution within a single system. These are ordinary business processes, though they have a habit of revealing exactly how slowly work can still move once decisions pass through enough hands. Rabkin has said that “great technology should make complex things feel simple.” For software like PandaDoc, that is the job.
Even when work moves efficiently, another question remains: whether the information inside those systems can still be trusted. That is what CEO Neil Araujo focuses on at iManage, whose cloud-enabled knowledge work platform is used by more than one million professionals across legal, financial, and professional services organizations in more than 65 countries. Under his leadership, iManage reported strong growth in 2025, adding 340 new customer logos and expanding its cloud platform to 71% of its customer base.
The company has also continued enhancing its AI capabilities, including through Insight+, with an emphasis on helping organizations generate AI-driven outputs while maintaining governance and contextual accuracy. In many of the environments iManage serves, information does not simply need to be available; it has to be handled correctly, kept in context, and trusted once it is pulled into use. Araujo co-founded iManage and has served as CEO since 2015. In his world, growth depends on making systems more useful without making them looser.
At the foundational level, Betsy Ziegler is working earlier than all of that, before a company has mature systems to streamline or institutional knowledge to govern. At 1871, the Chicago nonprofit innovation hub she has led since 2018, the work begins at the stage where founders still need access, customers, capital, and a credible path forward. Since 1871’s founding, more than 2,100 alumni companies have remained active, creating over 18,700 jobs and raising more than $6.2 billion in follow-on capital. Its community includes roughly 500 early-stage startups, 250 growth- and late-stage companies, and 60 corporate members. As Ziegler puts it, founders rarely fail because of a lack of ideas; they fail because “the path from idea to company is too slow and too lonely.” At 1871, the work is to shorten that distance before early promise gives out.
These leaders are a reminder that some of the most consequential work happens in the systems businesses rely on every day and often notice only when they start to fail. What stands out about this group is not only where they are building, but how they are building: with a sharper sense of what a business can afford to get wrong. In 2026, that sort of judgment still separates notable leadership from the rest.