From sprint planning to QA handoffs, monday agents handle the coordination work so your team stays focused on building. Pick a ready-made agent or create your own.
I'll create and edit visuals from a text prompt or your existing images, instantly.
I'll track your competitors and surface strategic insights, no manual digging required.
I'll set your OKRs, track progress, and generate status updates across teams.
I'll map your project's dependencies and surface the risks and blocked chains before they derail your timeline.
I'll write on-brand content from any brief or topic — blog posts, emails, social copy, and more — so your team always has a steady stream of publish-ready material.
Hey, I'm Abigail. I shape your brief into a conversion ready landing page layout your team can build on.
I'll analyze customer feedback and identify your highest-priority product opportunities.
I will turn a new feature into announcement posters, a doc, and a Slack post ready to share with your team.
I'll review incoming feature requests or support tickets and classify whether an existing capability already solves them.
I will turn your raw customer feedback into a clear, themed summary so your team can see what people are actually saying without reading every entry.
I'll build a complete review packet for every task before it reaches QA so your team avoids churn and back and forth.
Identifies growth and efficiency opportunities and generates structured action plans with clear next steps and impact.
Scans company data to detect revenue risks, cost leaks, and underperforming initiatives in real time.
Prepares agendas, summarizes context, and tracks decisions and follow-ups so leaders stay focused on priorities.
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Coordinates interviews by syncing availability. Handles booking, reminders, and rescheduling without manual effort.
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Evaluates applications against role criteria, filters non-fits, and highlights top candidates for faster hiring decisions.
Sources and ranks candidates across channels. Initiates personalized outreach and improves based on recruiter feedback.
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Detects and classifies incidents, alerts the right teams, and tracks resolution. Ensures post-mortems are completed and learnings captured.
Audits content quality, identifies gaps from ticket trends, and updates knowledge base articles using real resolution data.
Classifies, prioritizes, and routes tickets automatically. Sets SLAs and resolves common issues using knowledge base data.
Uses templates and past documents to generate accurate drafts. Applies company policies to produce documents ready for legal review.
Captures requests, asks follow-ups, flags duplicates, and routes work automatically. Surfaces existing answers to reduce repetitive requests.
Converts product decisions into detailed specs with requirements, edge cases, and acceptance criteria so teams can execute without ambiguity.
Synthesizes feedback from support, sales, and usage data. Identifies patterns and recommends what to build next with clear evidence.
Analyzes user behavior, identifies drop-offs, and deploys improvements to increase conversions. Continuously tests and applies learnings across pages.
Generates and adapts content for different channels and audiences. Learns from engagement signals to refine messaging and improve performance over time.
Plans, launches, and optimizes campaigns across channels. Allocates budget dynamically and connects performance to revenue data so teams can scale what drives pipeline.
Don't see what you need? Build it.
Describe what you need and build your own agent or work app on monday.com.
FAQs
An AI agent for product management is an autonomous system that handles the structured, repeatable work of a product team - synthesizing feedback, drafting specs, flagging sprint risks, and tracking A/B tests - so product managers can focus on judgment, prioritization, and strategy. On monday.com, you can use the built-in agent creator to start from a ready-made agent or create an agent from a prompt in minutes.
Yes. monday.com's AI agent builder is a no-code agent platform designed for people without programming experience. Describe what you want the agent to do, and it configures a custom AI agent tailored to your product team - no coding required. It's an AI assistant builder that works for anyone, not just developers.
An automation follows a fixed if-this-then-that rule. An AI agent reasons through a task, decides what to do next, and can handle exceptions along the way. monday agents combine both: they act autonomously while still following the guardrails and permissions you set.
monday.com's AI agent platform gives your team the same shared context as your boards, docs, and workflows - so a product agent can pull feedback from customer success, reference sprint history, and surface risks all in one place. Combined with scoped permissions, audit logs, and one-click integrations with tools like GitHub and Jira, your agents fit how your product team already works.
Connect with one click to tools like GitHub, Jira, Calendly, Slack, and monday notetaker, or reach any system through monday MCP and open APIs. Your agents work within monday.com's existing permission model - you control exactly what each agent can read, write, and act on - so nothing runs outside the boundaries you set.
Yes. monday agents work as AI co-workers alongside your team inside the same workspace, handing off work to each other and to people - so a single request can move from feedback synthesis to spec draft to approval without anyone copying information between tools.
monday agents are available on all paid plans, starting at $9 per seat per month. Each agent action runs on AI credits, which are included with your plan and can be topped up as your team scales. Visit monday.com/pricing for current plan details.
Yes, you can assign, review, and manage monday agents from the monday.com app on iOS and Android, so your agents stay accessible wherever your team works.
