monday AI Review

Bring assistants, agents, AI columns, meetings, and app building into monday workflows.

Independently researched by AI Toolbox Team · Reviewed 2026-07-15
THE SHORT VERSION

What monday AI does

monday AI adds contextual assistance, agents, row-level AI blocks, orchestration, meeting notes, and application generation across monday.com's work products.

monday AI spans several product surfaces rather than acting as one chatbot. Sidekick interprets work context and can help answer or execute requests; AI blocks summarize, label, translate, extract, draft, or run a custom prompt on board items; AI workflows orchestrate AI with other steps; Notetaker records and summarizes meetings; agents take on configured responsibilities; and Vibe builds custom applications from conversation. These capabilities are most valuable when a board already provides accurate owners, fields, statuses, and source documents, allowing an AI result to land in the operating system where the team can inspect and use it.

The execution layers need careful separation. A single AI block is relatively bounded: it reads selected item data and writes a result. Sidekick can consult broader context, while an agent may read boards, call tools, update records, or notify people according to its instructions and permissions. Every added tool increases both usefulness and failure impact. Teams should use a dedicated service account or tightly scoped identity where supported, restrict an agent to named boards and actions, require approval for customer-facing or irreversible changes, and review activity after each pilot run. Existing permissions are respected, but excessive existing access still gives AI an excessive scope.

monday is transitioning eligible customers to a unified AI-credit system, so account history and rollout dates matter. AI blocks currently use eight credits per action, Notetaker uses 120 credits per meeting hour, and agent or Sidekick consumption varies by task complexity. Additional Vibe, Sidekick, and workflow metering begins July 27, 2026. The current work-management pricing display shows Pro at $19 per seat monthly with annual billing and 3,000 monthly AI credits in the displayed configuration; Enterprise uses custom pricing and allocation. Admins can monitor usage and set account, feature, or user limits. monday says customer data is not used for training, provider agreements prohibit training, AI follows permissions and data regions, and content is encrypted at rest and in transit. These controls still require organizational review and output validation.

UNDER THE HOOD

How monday AI works

A monday AI feature reads the board, item, document, meeting, prompt, and connected resources allowed to the user, then applies a model to generate content or choose an action. Blocks write structured row results, Sidekick assists interactively, and configured workflows or agents can execute tools while governance controls usage and access.

01 · BOARD

Ground the feature in governed work

A feature reads the board item, document, meeting, connected resource, or other context allowed to its identity. Accurate fields, controlled status values, current source material, and narrow permissions establish the operating boundary.

02 · CAPABILITY

Choose the smallest execution layer

Use an AI block for row-level extraction or classification, Sidekick for interactive assistance, Notetaker for meetings, Vibe for app building, or a workflow or agent for multi-step work. Each surface has different context and credit behavior.

03 · ACTION

Generate content or use approved tools

The selected model interprets the prompt and context, then writes a field, returns an answer, creates an artifact, or lets an agent call configured actions. Variable complexity, model choice, meeting time, and repeated runs affect credit consumption.

04 · CONTROL

Review activity, permissions, and spend

Inspect outputs and agent activity, require approval for consequential updates, and test prompt manipulation and missing data. AI Governance can report usage and set account, feature, or user limits, but it cannot make an incorrect result correct.

YOUR INPUTMONDAY AIREVIEWED OUTPUT
QUICK START

How to set up monday AI

1

Verify the account's pricing generation

Ask an admin to confirm whether the account uses the unified credit model, its current product plan and allocation, and how the July 27, 2026 metering changes affect Sidekick, Vibe, and workflows.

2

Prepare one clean board

Normalize status and dropdown values, remove obsolete columns and sensitive test data, document authoritative sources, and check board, workspace, and connected-app permissions.

3

Start with a bounded AI block

Test summarization, extraction, or label assignment on historical items using an explicit input column, allowed output schema, and visible review field before building an agent.

4

Configure an agent with least privilege

Define one responsibility, exact boards and tools, schedule or trigger, stop conditions, and human approval before external communication, deletion, financial, hiring, or customer-impacting updates.

5

Monitor quality and credit economics

Review activity and credit dashboards, test malformed and adversarial inputs, measure accepted results and reversals, and set feature or user limits before expanding deployment.

COMMON QUESTIONS

monday AI FAQs

What is included in monday AI?

The current portfolio includes Sidekick, agents, AI blocks and columns, AI workflows, Notetaker, and the Vibe app builder. Availability and limits vary by monday product, plan, account history, and rollout.

How are monday AI credits consumed?

Consumption depends on the capability. AI blocks use eight credits per action, Notetaker uses 120 credits per meeting hour, and agents and Sidekick vary by task complexity. Other metering changes take effect July 27, 2026.

How much does monday AI cost?

AI allocation is tied to monday plans and can be topped up. The current work-management pricing display shows Pro at $19 per seat per month annually with 3,000 monthly credits; Enterprise pricing and credits are custom.

Does monday.com train models on customer data?

monday.com says it does not use customer data to train AI models and its agreements prohibit model providers from doing so. It also says AI follows account permissions and regional data settings.

Can monday agents update live boards?

Yes, when their configured tools and permissions allow it. Teams should therefore narrow access, write explicit instructions, preserve an activity trail, and require approval for consequential actions.

Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.

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