Introduction to Maz
A technical overview of Maz, Ninety's AI companion.
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Account Options and Troubleshooting
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Integrations
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Getting Started
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Insights
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Scorecard
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Rocks
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To-Dos
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Issues
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Meetings
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Headlines
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V/TO
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Accountability Chart
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1-on-1
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People and Toolbox
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Directory
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Knowledge Portal
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Assessments
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Mobile
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Maz
Internal Article
Table of Contents
What Is Maz and How Does It Work
Maz is Ninety's AI-powered set of features that uses specific, guided prompts with a large language model (LLM) along with user input and data in Ninety to complete a task. When using Maz, it has access to the same level of information in Ninety that you do: the same teams and permissions.
We designed Maz to both make it easier to run your organization's operating system and to meaningfully improve your workflows. Instead of functioning like one of our other tools, Maz has a number of skills it uses to analyze, create, and improve your data in Ninety.
Maz's current skills include:
- Ask Maz (beta): Our most open-ended skill that allows users to ask a wide range of questions about the data in their account. Read Ask Maz: Instant Insights from Your Ninety Data for more information.
- Seat Creator/Refiner: Create a new Seat on your Accountability Chart based on EOS principles and your company's information. Read Creating and Refining Seats with AI-Assistance from Maz for more information.
- SMART Rock Creator: Create a new Rock (90-day goal) using EOS's interpretation of the SMART methodology by answering a series of questions from Maz. Read Create SMART Rocks with AI Assistance from Maz for more information.
- Scorecard Optimizer (beta): Analyze your team's weekly Scorecard with Maz using EOS best practices and then decide to implement Maz's suggestions for changes. Read Optimizing Your Scorecard with Maz for more information.
Our product and engineering teams are in the discovery, design, and production phases for additional Maz skills. To stay up to date with new releases, visit our Product Updates page. To submit a feature request, click Provide Feedback in the left navigation while logged in to Ninety. Also, consider joining our beta program for early access to many of our new features.
Which LLM does Maz use?
Our team tests various generative AI models for each Maz skill, then selects the one that performs the most effectively and efficiently. Maz uses the selected LLM to process pre-set prompts, user input, and data from your company's Ninety account. Our vendors, including web service providers and AI companies, cannot access your prompts, Maz's responses, or any data sent between them.
Your data is never shared with model providers and is never used to train/improve base models. Read our Privacy Policy for more information.
How Maz connects to your data
Each Maz skill listed above uses an MCP layer to access a set of “tools” using Ninety’s private and secure API (Application Programming Interface) pathways to read the specific information it needs to complete its task.
What is MCP? MCP, or Model Context Protocol, is an open standard for securely connecting generative AI models to systems, such as your Issues list in Ninety.
For example, when using the Seat Creator skill, Maz may use the pathways in our MCP/API infrastructure to access and read your organization's Directory tool to view user names in order to accurately assign the Seat's owner.
Who can use Maz
Maz is only available on our Thrive subscription plan. The Thrive plan is company-wide, so all licensed users across companies on this plan can access Maz's features.
What can Maz access
Maz provides different levels of access to your company's data based on each person's Ninety account, specifically each person's user role and the teams they're assigned to. Only licensed users (Owners, Admins, Implementers, Managers, and Managees) can create items in Ninety, so only users with those user roles can use Maz to create items in Ninety.
Each team created in Ninety has its own Issues page, Scorecard, and To-Dos list. However, Owners and Admins can access every non-private team in your Ninety account.
For example, if your leadership team's V/TO is not shared with other teams in your organization, users not assigned to the leadership team cannot use the Ask Maz skill to analyze the leadership team's 1-Year Plan, Core Values, Company Rocks, and so on.