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


Custom build






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.
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.
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.
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.
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.
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.




