For over a decade, monday.com has helped teams track work. Today, it wants to do the work itself.
The company has announced the most significant change in its eleven-year history: a full platform rebuild centred on native AI agents that plan, coordinate, and execute tasks alongside human teams. It is a bold repositioning for a company with more than 250,000 customers worldwide, and one that reflects a growing conviction across the enterprise software market that managing work and doing work are no longer the same thing.
monday.com is now calling itself an AI Work Platform. The tools that once served as glorified to-do lists have evolved into autonomous delivery infrastructure, capable of planning projects and balancing workloads without a human lifting a finger. monday.com is going further than most by rebuilding its core platform around that premise rather than adding agent features on top of an existing architecture.
Native AI agents sit at the heart of the relaunch. Any team member can configure and deploy them without a technical background. Rather than waiting to be prompted, they draft campaigns, qualify leads, close support tickets, onboard new hires, and process purchase requests around the clock. All of this happens within the same permissions, security controls, and governance structures the business already has in place. The company argues they differ from bolt-on AI tools because they draw on live data from every team and workflow, supporting execution rather than just coordination.
Closing the Gap Between AI Hype and Business Reality
The backdrop to monday.comβs repositioning is a problem the entire enterprise software industry is grappling with. Deloitteβs 2026 State of AI in the Enterprise report found that only 25% of organisations have moved 40% or more of their AI pilots into production, and just 34% report using AI to deeply transform their business. Worker access to AI tools has meanwhile grown by 50% year on year. The technology is everywhere. The outcomes are not, at least yet.
The pressure on SaaS vendors is real: those relying on lightweight collaboration features face the greatest disruption risk, while platforms with deep compliance, governance, and integration infrastructure are significantly harder to displace. Embedding agents inside an existing governance layer, rather than bolting them on, is monday.comβs direct response to that challenge.
Roy Mann, co-founder and co-CEO, said:
βOur customers are running real businesses in a world thatβs changing fast, and they need a platform built for that reality. When you put the right technology in someoneβs hands, their sense of what they can accomplish begins to change.β
Co-founder and co-CEO Eran Zinman added:
βWe have 250,000 customers running their business on monday.com. We owe them more than another AI feature. We owe them a platform built for what comes next.β
What the Platform Now Includes
One-click connectors now link monday.com to Anthropicβs Claude, Microsoft 365 Copilot, OpenAIβs ChatGPT, and Google Gemini, letting customers bring their preferred AI model into existing workflows without rebuilding processes from scratch. A new AI Platform Gateway provides access to multiple large language models from within the platform, giving organisations the flexibility to match the right model to the right task.
For development teams, monday vibe turns natural language prompts into custom apps without writing a single line of code. The mobile experience has been redesigned too, consolidating the Sidekick assistant and agent management into one interface so project leads can orchestrate work from anywhere.
Todayβs announcement builds on moves monday.com has been making throughout early 2026. In March, the company introduced dedicated infrastructure allowing AI agents to sign up, authenticate, and operate directly within the platform as active participants rather than background automations. That same month saw the launch of Agentalent.ai, a managed marketplace where enterprises can discover, evaluate, and hire AI agents for defined business roles. Before deployment, agents undergo authentication and qualification, giving organisations a structured way to test performance first.
What This Means for Project and Task Management Buyers
monday.com is not operating in a vacuum. The project management software market has been moving fast, and across the first quarter of 2026 the categoryβs leading platforms shifted from task tracking toward coordinated AI-assisted work. Asana has introduced AI Teammates for agentic collaboration. ClickUp offers Autopilot Agents alongside always-on Ambient Agents. Adobe Workfront now lets project managers add AI agents to plans as assignable resources. Microsoftβs deprecation of Project Online has meanwhile created a significant migration window that monday.com and its rivals are actively targeting.
Where monday.com differs is in scope. Adding an AI assistant to a task board is one thing. Rebuilding the permissions model, the data layer, and the mobile interface around the assumption that agents will be doing real work is another. For organisations evaluating project and task management tools, that raises a question becoming central to every procurement conversation: how much autonomous execution are teams ready to hand to an agent, and which vendors can make that handover feel controlled rather than chaotic? monday.comβs answer is to keep agents inside existing permissions structures rather than standing up separate infrastructure.
Whether that translates into faster enterprise adoption will depend on execution. But this is bigger than a product update. It is a category redefining what software is supposed to do: not just record work, but get it done.