AI Agents
monday.com AI agents are configurable agents built inside monday.com through the AI agent builder. Within the boards, permissions and guardrails their creator configures, they monitor activity, evaluate context, and execute work end to end: creating and updating items, assigning owners, changing statuses, drafting messages, logging outcomes and executing follow-ups. Agents run from assignment and mention triggers, configured Jobs, schedules and chat requests, and can be extended with read and write tools that reach external systems.
Recorded characteristics
- Function
- monday.com documents AI agents as agents built inside monday.com that "act within the context of your work": they monitor activity, make decisions based on rules and priorities the creator defines, and execute tasks end to end on boards and workflows. Documented functions include understanding context from boards, data, docs, workflows and permissions; applying defined rules, priorities, tone and thresholds to triage, route, escalate and prioritise work; creating and updating items, assigning owners, changing statuses, drafting messages, logging outcomes and executing follow-ups; and running when specific events occur, at defined times, or on an ongoing cadence. Agents are configured in an agent builder with four tabs: Brain (instructions, knowledge and access, tools, skills, AI model), Jobs (separate tasks each with a trigger and scoped instructions, able to run in parallel or on a daily, weekly or monthly schedule), Channels (communication with people in external apps such as WhatsApp and Telegram) and Activity (run monitoring). Two default Jobs, When Assigned and When Mentioned, exist on every agent, and a user can also ask an agent for a one-off task. Agents retain memory across runs, produce stored artifacts, can work inside monday docs, and can join live meetings alongside AI Notetaker. This record covers the configurable AI-agent capability, including agents built with the AI agent builder. It is not a record of any individual agent: monday states that what a specific agent can do depends on the instructions, access, tools, skills and Jobs configured for it, so the documented example actions are the range of the capability rather than the behaviour of every agent. Expert Agents (such as the CRM AI Lead Agent and CRM Sales Agent), Org agents as a directory, monday sidekick, AI workflows, Agent Factory and externally built agents connected through Bring Your Own Agent are adjacent and outside this record.
- Data access
- Documented potential access, all of it configuration-dependent. In the Brain tab the creator grants the agent access to monday boards and uploads files (pdf, doc, txt, excel, csv) holding additional context such as FAQs or governance and legal information, and specifies for each grant whether the agent may only read board data or may also edit and add to it. monday states that agents "only access what you are allowed to access" and that the grant can be narrowed to the minimum needed, including granting the same viewing permissions as a particular member. Agents can use monday docs as a knowledge base and can write to a doc only when the doc's permissions are set to read-write. Optional access includes web search (a toggle), the AI Notetaker (meeting records, summaries, transcripts and action items), platform integrations and custom MCP endpoints, and external context through connected external files. monday notes that some tools connect via MCP and that their individual capabilities are not displayed in the interface. Nothing in the current documentation establishes automatic account-wide or workspace-wide access: every source above is one the creator connects.
- Actions
- Can take actions
- External actions
- Conditional
- Human confirmation
- Conditional
- Permission basis
- Mixed
- Administrative control
- Documented controls. Account level: an admin enables or disables monday AI for the account under Administration > AI Governance > Settings; the AI permissions tab (Enterprise plan only) controls which account roles may use each agent type (user agents, monday agents, third party agents, org agents, external AI connectors) and each AI feature, with per-agent settings or inheritance from the parent level; credit usage and per-capability and per-user usage limits are also managed there. monday notes that changing permissions does not stop agents already running. The AI Agents FAQ states that admin permissions are required to create or manage AI agents. Agent level: the creator sets instructions, knowledge and access with read or edit scope, tools, skills, AI model, Jobs and triggers, and channels; creators control where an agent may act (specific boards, spaces, teams) and what it may do within that scope. Write tools are added inactive and must be explicitly activated after review, and guardrails restrict a tool, for example to a specific Slack channel or to certain email recipients. Every configuration action taken through the agent chat offers an Undo, which covers configuration only and not content the agent has already produced. Agents can be paused at any time and continue to be editable while paused. Owners assign editors and viewers; ownership cannot currently be transferred. Sharing is per member, per team or organisation-wide through the Org agents directory, with shared members able to trigger, chat with and view settings but not edit configuration; a Review private content step discloses private boards and docs before sharing, personal tool connections require an explicit toggle before shared members may use them, and admins control which roles may share agents. Monitoring: the Activity tab logs every run with status, apps used and credits consumed, failed runs raise a notification with a What Went Wrong panel, board activity logs allow an agent's actions to be reviewed and undone, Live agent mode shows the agent working in real time, and agent memory can be managed, switched off entirely, or edited by asking the agent to remember or forget.
- Default state
- Not established
- Availability
- Every current AI agent article carries the availability banner "Available on monday AI platform, availability on all products coming soon", so as of September 2026 monday documents the capability as available on the monday AI platform with wider product availability still being rolled out rather than generally available across all monday products. Account admins must have monday AI enabled, and on Enterprise the AI permissions tab governs which roles may use each agent type. Shared agents are available to all account members except viewers and guests. Agents are also usable on mobile through the AI agents app. Tools on Demand, which builds a custom integration from a chat request, is documented as Beta.
- Licensing
- monday documents agent runs as consuming AI credits from the account's shared credit pool, with consumption depending on the complexity and depth of each task and attributed to the agent owner even when other members trigger the agent. Admins can review credit usage and set account, per-capability and per-user limits, and can buy more credits. No plan price for agents is documented beyond the Enterprise restriction on the AI permissions tab; monday does not publish an agent-specific licence in this documentation.
- External model or provider
- Not established as a specific model. monday documents a Model setting in the Brain tab where the creator chooses the agent's primary AI model and notes that additional models may be used by the agent to optimise performance, but the current articles do not name the models or the providers behind them.
- Limitations and uncertainty
- ESTABLISHED: agents make persistent changes inside monday (create and update items, assign owners, change statuses, draft messages, log outcomes, execute follow-ups); they run from assignment and mention triggers, configured Job triggers, recurring daily, weekly or monthly schedules and direct chat requests, including while the user is away; tools are classified Read or Write, with write tools covering send, create, edit and delete and being added inactive until the configurer explicitly activates them; paused agents cannot run but remain editable; the Activity tab records every run. CONFIGURATION-DEPENDENT: which actions any individual agent can take, which boards and files it can read or edit, which external tools or MCP endpoints it holds, which Jobs and schedules exist, and whether behavioural rules such as "always ask before sending an email" are stored in its memory. NOT ESTABLISHED: the operational default of the capability itself — monday documents that a newly created agent is active as soon as it is created with no manual activation step, but does not document whether AI Agents are on or off by default for an account or workspace, and the rollout banner and admin AI permissions prevent that being inferred; a single account-wide runtime permission rule — the current documentation describes the creator's own access as the ceiling, per-agent read or edit scopes set at configuration time, the agent being addressable as a grantee in board and column permissions, shared members inheriting the agent's context, and admin role controls over agent types, which together make the runtime basis mixed rather than any single one of those; the underlying models and providers; and any account-level approval workflow that applies to consequential actions independently of what the creator configures. Boundaries: access to external context through connected files or the web does not by itself establish external action, which rests on activated write tools and channels; "operate within governance controls" and "within your permissions" describe boundaries set at configuration time rather than a per-run identity; and the documented example actions describe what the capability supports, not what every agent does.
Evidence
- AI Agents on monday.com
Supports: Function · General · Actions · Human confirmation · Data access · Admin controls · Availability · Licensing · Limitations · Primary source
AI agents are built inside monday.com and act within the context of your work: they monitor activity, make decisions based on defined rules and priorities, and execute tasks end to end inside boards and workflows; they understand context, make decisions, take action, operate within governance controls and run based on triggers.
The article distinguishes AI agents from automations, monday sidekick and Agent Factory, and lists Expert Agents, the AI agent builder and Org agents as the three forms of AI agents.
Take action: agents create and update items, assign owners, change statuses, draft messages, log outcomes and execute follow-ups; supported work includes triaging requests, routing tasks, drafting follow-ups and maintaining records.
Agents run when specific events occur, at defined times, or on an ongoing cadence, and monday states they keep working while the user is asleep or unavailable, establishing unattended execution for triggered and scheduled runs.
Agents use boards, data, docs, workflows and permissions for context, and can understand external context by connecting external files with specific knowledge.
Admin permissions are required to create or manage AI agents; agents can be paused at any time and remain editable while paused; owners assign editors and viewers and ownership cannot be transferred.
Availability banner: "Available on monday AI platform, availability on all products coming soon".
Credit consumption depends on the complexity and depth of each task the agent performs.
Agents act only where permissions allow and within defined access boundaries; a paused agent cannot run; ownership cannot be transferred.
- Build and configure your AI agent
Supports: Function · Actions · External actions · Human confirmation · Data access · Admin controls · Availability · External model · Limitations · Default state · Primary source
Agent builder structure: Brain tab (instructions, knowledge and access, tools, skills, AI model), Jobs tab (tasks with their own triggers and scoped instructions), Channels tab (WhatsApp, Telegram), Activity tab (run monitoring).
Jobs each contain a trigger and scoped instructions, can run in parallel and can be scheduled daily, weekly or monthly; every agent has default When Assigned and When Mentioned Jobs; a user can also ask the agent for a one-off task.
Tools are classified Read (search, pull data) or Write (send, create, edit, delete), and agents connect to external tools through integrations allowing them to pull in information and update records; supported integrations include Gmail, Outlook, Slack, MS Teams, Salesforce, HubSpot, GitHub, Google Drive, Stripe and others, plus custom MCP endpoints. Guardrails bound each tool, for example posting only in a specific Slack channel or emailing only certain contacts, and Tools on Demand (Beta) can build create/read/update/delete tools for external services from an API key. The Channels tab additionally lets the agent communicate with people in WhatsApp and Telegram.
Write tools (send, create, edit, delete) are added as inactive and the agent prompts the configurer to review the setup before they are explicitly activated, while read tools are active immediately after connection.
Knowledge and access grants the agent access to monday boards and uploaded files (pdf, doc, txt, excel, csv), with the exact permission specified as read only or read plus edit and add; optional access includes web search, AI Notetaker records, platform integrations and custom MCP endpoints.
Configuration controls in the builder: instructions, knowledge and access scope, tool activation and guardrails, skills, model choice, Jobs and triggers, channels, and an Undo on every configuration action (configuration only, not produced content).
The build-and-configure article carries the same monday AI platform availability banner, and Tools on Demand is marked Beta.
The Brain tab Model setting lets the creator choose the agent's primary AI model, and monday notes additional models may be used to optimise performance, without naming models or providers.
Agent behaviour is bounded by configuration: the agent cannot perform actions outside what it is explicitly permitted to do, MCP tool capabilities are not displayed in the interface, and Tools on Demand is Beta with no OAuth support, no triggers or webhooks, possible build failures and no post-build editing.
Once onboarded, a new agent is automatically activated with the instructions provided, while write tools added to it remain inactive until explicitly activated.
- Run and manage your AI agents
Supports: Function · External actions · Human confirmation · Permission basis · Data access · Admin controls · Availability · Licensing · Limitations · Default state · Primary source
Agents can be used on boards (assign to items to trigger, Live agent mode, undo from the activity log) and inside monday docs, retain memory across runs, store outputs as artifacts, and can join live meetings alongside AI Notetaker.
Shared agents can use the owner's personal tool connections such as Slack or Gmail only when the "Allow people you share this agent with to use this account" toggle is on; otherwise sharing is blocked until the tool is removed.
Agent memory can hold behavioural rules set by the user, with monday's own example being "always ask before sending an email", so per-action confirmation is a configurable behaviour rather than a platform default. Separately, once the configured triggers and rules are met the agent runs, and completed actions are reviewable and undoable from the board activity log after the fact rather than approved beforehand.
Agents only access what the creator is allowed to access, narrowable to the minimum needed (for example read-only on particular boards, or the same viewing permissions as a particular member); creators control where agents can act (specific boards, spaces, teams) and what they may do within that scope; an agent can edit a restricted column only if it is set as the board's owner or assigned to that column in the column's permission settings, so the agent is addressable as a distinct grantee; and shared agents retain the owner-granted context, with members invoking them using the agent's full access.
In a monday doc the agent can pull context, use the doc as a knowledge base and include sections in reports, and can write to the doc only when its permissions are updated to read-write.
Sharing controls, the Review private content step, per-tool sharing toggles, activity logging with failure notifications, memory management and pause/resume, editors and viewers, and non-transferable ownership.
Shared and org agents are available to all account members except viewers and guests; agents with the Notetaker tool cannot currently be shared.
Credits are consumed from the account's shared pool and attributed to the agent owner even when other members trigger the agent; admins monitor usage from AI governance.
Shared members cannot edit an agent's instructions, tools, permissions or other configuration; agents using the Notetaker tool cannot be shared; an organisation-shared agent cannot be duplicated until sharing is narrowed.
A newly created agent is active as soon as it is created with no manual activation step, and monday does not document whether the AI Agents capability itself is enabled by default for an account or workspace.
- Navigating monday's AI work platform
Supports: Function · Primary source
AI agents are presented as part of monday's AI work platform surface.
- AI Permissions and Governance
Supports: Permission basis · Admin controls · Availability · Primary source
Admins control at account level which roles may use each agent type and each AI feature, and note that changing permissions does not stop agents already running.
Administration > AI Governance provides account-level enablement of monday AI, an AI permissions tab (Enterprise only) with per-agent-type and per-feature role controls, credit usage review and account, per-capability and per-user usage limits.
The AI permissions tab is available only on the Enterprise plan, and monday AI must be enabled for the account.
- Column permissions
Supports: Permission basis · Primary source
Column permissions documentation defines the restricted-edit mechanism through which an agent is granted or denied column-level edit rights.
- Troubleshooting AI agents
Supports: Admin controls · Primary source
Unexpected agent behaviour is investigated through the Brain tab configuration and the per-run Activity tab.
- AI Models and Credits: understanding and optimizing consumption
Supports: Licensing · Primary source
AI models and credits documentation defines how consumption is measured and optimised for monday AI capabilities.