MacPaw Launches Leebry to Automate IT Support and Address AI Trust Gap
MacPaw launches Leebry, a Work AI platform for IT teams to automate support, access changes and source-linked answers.
MacPaw spent nearly two decades building consumer software for Mac users. CleanMyMac is one of its Mac utilities, used to free up hard drive space and uninstall apps. The company is making a different kind of bet with Leebry, which is aimed at IT teams.
The context for the launch is MacPaw's 2026 AI at Work report. The report found that 90% of companies deploy AI without thoroughly auditing their internal knowledge base first. That means internal AI tools are answering employee questions based on whatever they can find, including old product docs, outdated policies and random Reddit discussion forums. In the same survey, MacPaw found that 6 in 10 IT leaders see a real disconnect between what their C-suite expects from AI tools, thanks to LinkedIn feeds, and what their teams can safely and accurately deliver. That gap is where most AI disappointment lives, and it is the problem Leebry is attempting to solve for IT teams.
Leebry began as an internal MacPaw hackathon project in 2025. The problem it was solving was employees repeatedly asking the same questions internally, even when the answers already existed somewhere in the company's documentation, intranets or Slack threads. MacPaw built a Slack bot to surface those answers and point employees to the exact source. Within a few months, it was resolving 30% of MacPaw's own level 1 IT tickets, and that became the foundation for Leebry.
Every Leebry response links back to its source, so employees can verify the answer rather than just trust it, and they can flag stale or outdated information that could affect accuracy. That feature is the direct product response to the 90% knowledge audit problem from MacPaw's own research.
Leebry is permission-aware, meaning it authenticates each user and surfaces only the information they are permitted to see. That matters because many AI tools draw on a shared knowledge pool and let users surface things they should not access. Leebry also ships with an MCP server that exposes the device management control plane to AI agents, with admin-set guardrails on every action, so teams can delegate repetitive work to agents without giving up control over what those agents can do.
For IT organizations that work extensively with Apple, access provisioning can be a major pain point. Automating access changes as people move within an organization is difficult for small and midsize businesses without a dedicated identity and access management team. Most of the time, the process is manual, it is slow, and departing employees end up with access that should have been revoked days earlier.
Dan Jaenicke, director of B2B product development at MacPaw, said: "Businesses don't need another tool to check, they need work taken off their plate, without sacrificing oversight or control."
A fair question is why an IT team should trust a consumer Mac software company to build enterprise tooling. In the 9to5Mac report, the answer is found in Leebry's origin. MacPaw built Leebry to solve its own internal IT problem first, which the report describes as a better foundation than most enterprise software gets. It was not built to make money but to solve a customer problem, including an internal one. The reality is that all organizations have documents spread across team chat, file sharing and intranets, and employees often ask someone else to find the answer. Leebry aims to make it easy for IT to solve the same questions people ask over and over again.