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    Platinum & Advanced Delivery Partner

    Your team is doing work that agents should be doing.

    mutherboard sets up monday.com AI agents that handle the admin, follow-ups, and reporting, so your people focus on the decisions that actually move things forward.

    Start your free monday.com trial
    No credit card · No obligation · 30-minute call
    Agent illustration
    Candidate Sourcer · running
    Main tableChartHiring funnel+
    Senior software engineer role
    Top candidates
    Name
    Source
    Stage
    Owner
    Alex Thompson
    LinkedIn
    Intro email sent
    AI · Sourcer
    David Chen
    Referral
    Intro sent
    AI · Sourcer
    Maria Garcia
    GitHub
    Reviewing
    You
    Under review
    Raj Patel
    LinkedIn
    Intro sent
    AI · Sourcer
    Lacci Grosman
    GitHub
    Reviewing
    You
    CS
    Candidate Sourcer
    Running on monday.com
    Find me the best candidates for the senior dev role.
    Sourcing candidates…
    Shortlist generated. Contacted the top 4 and added them to the board.
    The problem

    Most teams are losing hours to work that doesn't need a human.

    01
    Status updates written by hand
    ~6 hrs / week
    02
    Leads going cold because no one chased them
    37% lost
    03
    Reports that take a morning to pull together
    every monday
    04
    Inboxes triaged by hand, one message at a time
    ~9 hrs / week
    05
    Inboxes triaged by hand, one message at a time
    death by a thousand pings
    The fix

    None of that needs a person. 
    It needs a properly built agent.

    The problem isn't that AI agents don't exist. It's that most teams set them up wrong, get a bad answer, and write off the whole thing.

    mutherboard sets them up right, the first time.

    An agent for every job you're tired of doing manually.

    Ready-made agents we deploy and tune to your boards, your data, and your team's playbook, live in the workspace your people already use.

    Build your own
    Custom Agent
    Describe any workflow in your own words to create a unique agent in minutes.
    Custom AgentExample automation recipe: when ticket is created, check severity, then notify and resolveSlack, Gmail, Zoom and 26 more integrations

    Custom build

    Don't see your job?
    We build custom agents on top of your monday workspace, scoped to your team, deployed with guardrails on day one.
    Resume Screener agent
    Talent / HR
    Resume Screener
    Scores applicants against your role spec and culture cues. Flags 95% matches. Skips the 200-CV scroll.
    GreenhouseDrive
    Competitor Researcher agent
    Marketing
    Competitor Researcher
    Watches your competitors' pages, pricing, and launches. Drops a weekly brief in #competitor-reports.
    SlackWeb
    Sales Lead Agent
    Sales
    Lead Agent
    Finds and enriches leads matching your ICP. Books discovery calls without a human ever opening a tab.
    CRMApollo
    Sales Closer agent
    Sales
    AI Sales Caller
    Calls inbound leads, qualifies them against your playbook, and writes the call summary back to the CRM.
    PhoneCRM
    Operations agent
    Operations
    Status Reporter
    Pulls every project board into a written Monday-morning report. Writes the whole thing while you make coffee.
    BoardsDocs
    Candidate Sourcer agent
    Talent / HR
    Candidate Sourcer
    Searches LinkedIn, GitHub, and your referral pool. Drafts intro emails in your voice.
    LinkedInGmail
    Context

    An agent without context is just noise.

    Most AI tools answer based on the internet. monday.com agents work inside your actual data: your boards, your docs, your dashboards. They act on what's real in your business, not what's generally true.

    That's why mutherboard builds agents on monday.com rather than standalone AI tools. The context is already there. The results follow.

    See how mutherboard sets it up

    Generic chatbot answer

    "To improve your sales pipeline, consider these 5 best practices…" Generic, web-trained, no idea what your pipeline actually looks like.

    monday.com agent answer

    "Your Q3 Pipeline board has 14 leads stuck on Awaiting demo for 9+ days. I've drafted re-engagement emails for the 4 above $50k ARR. Approve to send."

    🜷 Why it works

    The agent reads your boards directly. It knows your stage names, your owners, your deal sizes, because it lives in the same workspace your team does.

    How mutherboard sets it up

    Powerful AI agents, live in days, not quarters.

    We do discovery, build, and rollout. You get an agent connected to real data, with permissions scoped, on a workspace your team already trusts.

    01 · Discovery

    Tell us what you're tired of doing.

    A 30-minute call. We map the work, the data sources, and the people involved. We come back with a build spec.

    I want an agent that screens inbound applicants and books a 15-min call with the top 5%
    02 · Build

    We connect it to your stack.

    Boards, docs, integrations, permissions. Built and reviewed inside your monday.com workspace, not a sandbox you'll never look at again.

    Gmail
    S
    Slack
    G
    Google Sheets
    M
    monday boards
    03 · Rollout

    It runs. We stay close.

    Simulation mode first, so your team validates the agent's actions. Then it goes live with guardrails. We tune it for the first 30 days.

    Spec approved
    Connected: 3 boards · 4 integrations
    Simulation: 124 dry-run actions
    Live · 30-day tuning window
    Hand-off to your team
    Full control

    Built on a platform your security team won't fight.

    monday.com gives you the platform-level controls. mutherboard makes sure they're configured right from day one.

    Agent activity

    Track every agent action across your organisation with a real-time log of what was done and when.

    Permissions

    Define exactly which data the agent can access, and whether it has permission to edit, create, or only read information.

    Human in the loop

    Validate your agents' actions in simulation mode before they ever go live with real customers or real data.

    AI cost center

    Track AI usage and spend per team, with limits and alerts so a runaway agent never becomes a runaway invoice.

    Content ownership

    You retain ownership of the content you provide and the content your agents produce. Always.

    No data training

    Your data is never used to train AI models. What happens in your workspace stays in your workspace.

    The teams moving fastest right now have one thing in common.

    They stopped treating AI as something to explore later. They picked a platform, got it set up properly, and started running agents on real work.

    Setup is where most implementations fail. mutherboard has done this enough times to know exactly where it goes wrong, and how to avoid it.

    Try monday.com free →
    Certified monday.com partner. We've built agents across sales, ops, marketing, IT, and dev teams.