Ninety has launched Ask Maz, a conversational AI feature for leadership teams using its software to run the Entrepreneurial Operating System, or EOS. The product is meant to answer plain-English questions against the company data already stored in Ninety, rather than ask managers to export reports, scan meeting notes, or paste context into a general chatbot.
That makes Ask Maz part of a more interesting enterprise AI pattern than the usual chatbot-in-a-sidebar routine: vertical AI embedded inside workflow software, with retrieval over live operational records. In this case, the records are the artifacts EOS teams already use to manage goals, meetings, accountability, and execution.
Ninety says more than 18,500 organizations use its SaaS platform. Ask Maz sits inside that platform and can draw on data from Rocks, Scorecards, issues, To-Dos, Headlines, Accountability Charts, Vision/Traction Organizers and Knowledge Portal content.
For users, the interface is a question box aimed at management work. A leader could ask whether quarterly priorities line up with one-year goals, which metrics are drifting off target, what issues remain open for a team, who owns a function, or what risks should be addressed before a planning session.
The output is designed to stay close to the workflow. When the system identifies something that needs follow-up, users can create To-Dos, issues, Headlines and other items from the same conversation. That is the real product move: not just summarization, but a conversational layer that can turn retrieved business context into structured work inside the system of record.
Ask Maz extends Maz, Ninety’s existing AI platform. Earlier Maz features helped users create SMART Rocks, build seats for Accountability Charts, optimize Scorecards, prepare for meetings and onboard employees. Ask Maz broadens that into a cross-platform assistant for querying the business data Ninety already holds.
Mark Abbott, Ninety’s founder and CEO, framed the launch as a way to reduce the manual work between leaders and the information they need. He said leadership teams do not need more data as much as easier access to answers that should already be available inside their operating system.
The practical boundary is the data corpus. Ask Maz can retrieve and synthesize the EOS-related records named by Ninety, but AI-generated management insight still depends on what a team has entered, how consistently it uses the platform, and whether the underlying records reflect reality. The announcement positions the tool as decision support, not an automated executive.
TJ Kneale, Ninety’s head of data and AI products, described Ask Maz as a “thought partner” for leaders trying to understand performance, risks and opportunities. That phrasing is doing some marketing work, but it also signals the intended limit: the system is meant to help humans ask better questions and move faster, not make final calls for them.
Ninety said organizations in alpha and beta programs used Ask Maz for quarterly planning preparation, execution-risk analysis, performance trend reviews and finding connections across leadership-team data. Nicole Mathis, CIO and integrator at Ralston Vet, said the tool helped her prepare for a Q2 Quarterly Planning Meeting by surfacing risks and trends, including a gap between annual goals and execution pace.
The launch gives Ninety a more complete conversational AI capability for EOS leadership teams, tied directly to the operational objects its customers already manage. For companies that live inside EOS software, the bet is that AI becomes useful when it stops being a separate tab and starts reading the messy management records where the work is actually tracked.
