monday.com has rolled out new infrastructure that lets AI agents sign up, authenticate, and work directly inside its platform. This marks a shift from the more common model in which agents interact with enterprise software through APIs and automation layers.
The move positions AI agents as a distinct class of user, as more organisations experiment with "digital workforce" tools that take on operational tasks.
Agent Accounts
A central part of the update is account-level access for AI agents. Agents can create workspaces and authenticate directly in monday.com, rather than operating only through third-party integrations. This gives them a more direct way to interact with workflows, data, and permissions inside the platform.
Once onboarded, agents can organise projects, update workflows, trigger automations, generate reports, and coordinate work across teams. monday.com's visual workspaces can show progress and priorities to human users alongside agent activity.
Roy Mann, Co-CEO of monday.com, said the update reflects where the market is heading.
"As AI agents begin taking on more operational tasks, platforms need to make themselves ready for all agents," said Mann. "Instead of treating agents as background integrations, we're building the infrastructure that allows humans and AI agents to collaborate directly. monday.com is where that collaboration happens."
Onboarding Flow
The update adds a dedicated sign-up route designed for AI systems acting on behalf of humans. It also includes a verification mechanism during sign-up called HATCHA, described as a reverse CAPTCHA. HATCHA is open source.
monday.com also added instant API key provisioning during onboarding, providing immediate GraphQL access after sign-up for objects such as boards, items, automations, dashboards, and docs.
The platform now supports Model Context Protocol (MCP), which has emerged as a way to standardise how agent tools interact across frameworks. It is also adding native tools for OpenClaw agents, which it says allows them to operate "out of the box".
Compatibility Claims
monday.com says the new infrastructure is designed to work with a range of agents and frameworks. It named several AI products and developer tools it expects to be compatible, including Claude, ChatGPT, Microsoft Copilot, Google Gemini, Perplexity, Cursor, and xAI's Grok. It also listed Co-Work, Frontier, and OpenClaw.
These references reflect an increasingly heterogeneous environment for organisations deploying AI. Many companies now mix foundation models, agent frameworks, and internal automations. In that setting, platform vendors face pressure to offer standard routes for access and governance, rather than relying on bespoke integrations for each agent implementation.
Governance Model
AI agents will operate under the same governance, security, and permissions standards as human users. That is likely to matter for larger organisations that require audit trails and consistent access controls across teams and tools.
Agents will also use the same account structure and pricing model as human customers. Agent sign-up and API access will be available across all monday.com plans.
Platform Context
The launch builds on monday.com's existing AI tools, including an in-platform agent called monday sidekick. It also follows the introduction of a monday agent builder, which is currently in beta.
In work management software, agent features have often appeared first as assistants that summarise text, draft updates, or recommend next actions. Agent accounts suggest a more autonomous model in which systems have a persistent identity and can execute tasks across multiple boards and teams under defined permissions.
Customer Base
monday.com reportedly supports more than 250,000 organisations worldwide across work management, CRM, service, software development, HR, IT, marketing, and operations. It also pointed to demand for its AI products, saying monday vibe became its fastest product to reach $1 million in annual recurring revenue.
The new agent onboarding approach is also tied to how monday.com structures information. The platform organises work in boards and uses GraphQL APIs for querying and updating data. It supports webhooks for responding to workflow changes and includes built-in automations. Together, these building blocks can allow an AI agent to act on events and update work in near real time.
Competition in the work management and productivity software market has intensified as vendors add AI features. Most platforms are grappling with identity, security, and accountability as AI agents move from single prompts to multi-step tasks that touch customer data and internal processes. monday.com's approach places agent identity inside the same environment human teams use day to day.
monday.com expects AI systems to coordinate work alongside humans in the same operational environment as agent use expands.