Direct answer
What is monday AI?
monday AI adds specialized AI agents, the Sidekick assistant, meeting summarization, and AI board columns to orchestrate tasks across monday.com workspaces.
monday AI is an integrated layer of artificial intelligence capabilities built into the monday.com work platform. Rather than acting strictly as an isolated chat interface, it pairs human workers with autonomous AI agents across departments such as PMO, IT, operations, marketing, sales, and HR. Teams can deploy prebuilt agents—such as Market Analyzers, Risk Analyzers, Vendor Scouts, and Meeting Schedulers—or create custom agents by defining objectives, rules, and connected tools. At the core of the AI feature set is monday Sidekick, an assistant that navigates workspace context to execute requests and answer queries in natural language. In addition, AI columns automate routine classification, sentiment scoring, and summarization directly in board rows. For cross-platform tasks, monday.com connects with external models like Claude, ChatGPT, Copilot, Gemini, and external tools through Model Context Protocol (MCP) integrations. Governance and security controls include simulation mode for validating agent actions before activation, real-time activity logs, role-based read/edit permissions, and an AI cost center to track team consumption. The vendor states that customer workspace data is never used to train third-party AI models.
Unlike standalone chatbots, monday AI embeds specialized multi-agent workflows, AI columns, and MCP tool connectivity directly into existing project boards, CRM records, and team automations.
Product capabilities
Key features
Autonomous AI Agent Workforce
Deploy pre-configured or custom agents that execute tasks like risk detection, ticket triage, vendor screening, and status updates.
Custom Agent Builder
Define agent goals, configure operating rules, connect external tools, and establish permissions without writing code.
Sidekick AI Assistant
Context-aware AI work assistant that answers questions, retrieves workspace information, and triggers operational tasks.
AI Columns & Smart Fields
Board columns that automatically extract, categorize, summarize, or score data directly within records and task rows.
AI Meeting Notetaker & Summaries
Analyzes call transcripts to pull key decisions, next steps, and action items directly into boards and CRM records.
Model Context Protocol (MCP) Connectivity
Open integration layer connecting workspace workflows with external AI models and agents including Claude, ChatGPT, Copilot, and Gemini.
Simulation Mode & Audit Logs
Validate agent actions prior to launch using test simulations, backed by granular read/edit permissions and real-time execution logs.
AI Cost Center & Governance
Monitor and cap AI credit spend per department while ensuring workspace content is never used to train foundational AI models.
Practical fit
Who should use monday AI?
Project & PMO Tracking
Automatically detect delivery risks, highlight task bottlenecks, and compile daily or executive project wrap-ups.
IT Ticket Triage & Resolution
Categorize incoming service tickets, escalate critical incidents, and convert solved issues into knowledge base guides.
Sales Lead Sourcing & Follow-Ups
Identify prospect signals, prepare meeting briefings, auto-summarize sales calls, and advance pipeline statuses.
HR Screening & Scheduling
Score applicant resumes, coordinate candidate interview slots across team calendars, and update hiring pipelines.
Editorial assessment
Pros and limitations
Where it is strong
- Native integration directly into monday.com boards, docs, and CRM workflows
- Simulation mode allows testing agent behaviors before granting automated execution rights
- Clear security commitment that customer workspace data is not used for model training
- Open connectivity with external models and services via Model Context Protocol (MCP)
Where to be careful
- AI features are not available on the Free tier and require at least a Basic paid subscription
- AI usage is gated by credit quotas, requiring add-on purchases for high-frequency workflows
Commercial context
monday AI pricing
At the review date (September 2026), monday.com offers a free plan for up to two seats, but official pages state AI features require a paid tier starting at Basic (€9 per seat per month billed annually). AI usage is managed via monthly AI credits. Please verify current pricing and terms on the official pricing page.
Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.
Transparent ranking
Why monday AI scores 79.5
Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.
Compatibility
Languages, platforms, and integrations
Languages
- English
- Dutch
- French
- German
- Italian
- Japanese
Platforms
- Web
- iOS
- Android
Integrations & surfaces
- Claude
- ChatGPT
- Microsoft Copilot
- Google Gemini
- Google Calendar
- Dropbox
Community
Reviews and questions
No approved member reviews yet. Editorial factors above are the only rating on this page.
Reviews and questions come from Google-signed members and are checked by an editor before they appear.
Frequently asked
monday AI FAQ
Can I use monday AI on the Free plan?+
No. According to official monday.com pricing documentation, AI features are available starting from the paid Basic tier upwards.
How is monday AI usage metered?+
AI operations are governed by AI credits allocated monthly per plan tier (e.g., 1,000 credits on Basic, 2,000 on Standard, 3,000 on Pro), with the ability to add more credits when needed.
Does monday.com train AI models on internal workspace data?+
No. The official AI pages explicitly state that customer data is never used to train AI models, and organizations retain full ownership of input and generated content.
What is the role of monday Sidekick?+
Sidekick is monday.com's context-aware work assistant designed to understand workspace boards and docs, execute conversational requests, and pull operational insights.
Can I connect my own AI models or agents?+
Yes. The platform supports an open integration framework, allowing teams to connect agents from providers like Claude, ChatGPT, Gemini, Copilot, or external services via Model Context Protocol (MCP).
