Why Do So Many Project Managers Use monday.com For Their Teams? (Platform Overview)

No two teams manage work the same way. monday.com takes a flexible approach, letting teams shape the platform around their own processes while also bringing AI and agents into those workflows. In this video, we’ll look at how that approach works in practice, where monday.com stands out, the trade-offs to consider, and whether it could be the right fit for your team.

At the center of monday.com is a customizable AI workspace where teams can organize projects, processes, and ongoing work. The platform doesn’t prescribe a particular project management methodology. Instead, teams decide how work should be structured, what information they need to track, and how different workflows fit together.

monday’s AI and agents work within that same environment. That means they can use information that’s already in the platform to understand what’s happening and take action, and the starting point for all of that is how work is organized. Boards are the foundation of monday.com. They are where teams organize everything from individual projects and incoming requests to ongoing operational processes.

You can customize the information you track using columns for owners, status, deadlines, priorities, budgets, or other information relevant to your workflow. Individual items can also include conversations, files, updates, and sub-items, keeping the work and the information around it together. Teams aren’t limited to looking at that information as a traditional project plan either.

The same work can be viewed through Kanban boards, Gantt charts, timelines, calendars, and other views, depending on what different people need to see. That can be useful when the same project involves different stakeholders. A project manager might need a Gantt chart to understand dependencies, while the delivery team works from a Kanban board, and leadership only needs a high-level timeline.

They can each view the work differently without maintaining separate project plans. There’s also a large library of customizable templates, so teams don’t necessarily have to build those workflows from scratch. That flexibility means different teams can use the same underlying platform without having to manage every type of work in exactly the same way.

But once those workflows are set up, there’s still the day-to-day work of keeping them moving. monday.com uses no-code automations to handle repeatable steps, such as assigning tasks, changing statuses, sending notifications, creating follow-up work, or coordinating actions across your boards. You define the event that starts an automation and what should happen when that event occurs.

A single automation can also perform multiple actions. For a project team, that could mean completing one stage of work automatically assigns the next person, notifies the relevant stakeholders, or triggers the next set of actions. That becomes more useful when a process crosses teams and no single person is responsible for manually handing off every step.

That can reduce routine coordination and make repeatable processes more consistent, particularly when workflows involve multiple people or departments. And once you’re managing work across multiple projects or teams, you also need a way to see what’s happening across them. Dashboards bring information from multiple boards into a single reporting workspace using charts, timelines, workload views, calendars, and other widgets.

Project managers can use that information to monitor progress, identify bottlenecks, and balance workloads, while leadership can get a broader view across projects without requiring every team to maintain a separate report. For example, you could bring several projects into one dashboard, compare progress, deadlines, and workloads, rather than opening each project individually.

Because the dashboard draws from the underlying boards, that view can update as the project data changes. That gives teams flexibility in how they manage their day-to-day work while still bringing important information together for reporting and oversight. Beyond organizing and tracking work, monday.com also uses AI to help teams handle some of the work happening within those workflows.

One example is AI blocks. Teams can use these for tasks like summarizing updates, categorizing information, extracting structured data from text, rewriting content, and suggesting action items. The practical benefit is that you don’t necessarily have to move project information into a separate AI application and then bring the results back into your workflow.

For example, if a team is collecting requests or feedback as text, an AI block could extract information from those submissions or categorize them so that they’re easier to route and review. In another workflow, it could summarize a long update so the next person can quickly understand what happened.

For teams dealing with a lot of project information, that can reduce some of the administrative work involved in processing updates and keeping information organized. Meetings are another area where monday.com puts AI to work. monday Notetaker can join meetings in Zoom, Microsoft Teams, and Google Meet, record and transcribe the conversation, and generate a timestamped summary and action items once the meeting is over.

Instead of manually transferring decisions and follow-ups into your project plan, you can connect action items directly to monday.com boards and choose a relevant project and owner for each one. The meeting itself also remains useful afterward. Teams can ask questions about what was discussed through a post-meeting AI chat or use a searchable recording to return to a specific part of the conversation, and it’s not limited to virtual calls.

The desktop app can capture in-person meetings as well without requiring a meeting bot. For project teams, that means less manual work between making a decision in a meeting and getting the resulting work into the project while still keeping a record of the conversation to return to later. Another way monday.com uses AI is through its monday agents.

Teams can use ready-made agents or create custom ones, giving them access to relevant monday.com data, tools, and instructions. monday agents can analyze information and take actions such as creating or updating items, assigning owners, changing statuses, drafting messages, or following up on work within the permissions you set, and that’s different from the automations we covered earlier.

Automations are useful when you already know the trigger and the actions that should follow. monday agents can work with more complex processes that require interpreting information and responding to changing circumstances. They’re built to handle processes from start to finish within monday.com, working alongside your team so you can control what they’re allowed to do and see what actions they’ve taken.

For example, an agent could monitor projects for schedule or workload risks and then help respond by updating timelines, reassigning work, or alerting the right stakeholders. monday agents can also work alongside monday Notetaker during meetings. An agent can join a call, use the context of the conversation, answer questions through the meeting chat, and perform tasks using the tools and data it has access to.

Now that we’ve covered some of the key capabilities, let’s look at what stands out and what to consider before deciding whether monday.com is the right fit for your team. monday.com could be particularly relevant for teams that want room to shape workflows around their own processes rather than having the platform prescribe one way of managing work.

That flexibility also means different teams can work in different ways while still using the same underlying system. monday.com’s approach to AI is another strength, particularly for teams that expect AI and agents to play a growing role in how they manage work. Because those capabilities sit within the same AI workspace teams already use, they can introduce AI into processes they’re already managing in the platform.

There are also a few things to consider. The platform’s flexibility means teams need to put some thought into how they’ll use monday.com before they start setting things up. As more teams create their own boards, workflows, and automations, shared conventions can become more important for keeping everything manageable.

For larger organizations, that might mean setting some common standards around how boards are structured, named, and connected. Otherwise, teams can end up using the platform in very different ways, which can make cross-team reporting and collaboration harder. The other consideration is what you get with each plan, which brings us to pricing.

monday.com offers a free plan for up to two users, which gives small teams a way to explore the basic platform before committing. Paid plans add automations and integrations, additional views, greater dashboard capacity, and other capabilities. If AI is important to your team, though, there are some additional costs and usage limits to factor in.

monday Notetaker usage is billed in AI credits, 120 AI credits per hour of meeting, and availability depends on your plan, so check monday.com’s current pricing page for details. You should now have a better understanding of how monday.com works and whether it’s the right fit for your team. If you’d like to dive deeper into the platform, including more detailed capability analysis, comparisons, and implementation guidance, check out our in-depth review at The Digital Project Manager.