Apps
AI applications built around your work
Put AI behind an experience your team will actually use.
A chat window on its own changes very little. We build AI applications and AI-powered interfaces around a specific process—so the AI works from the right data, does a defined job, and hands the result to the person or system that needs it next.
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The right data(external system)
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A defined job(AI or automation)
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The person or system that needs it next
The pilot worked. Then nobody used it.
In a demo, AI summarizes a document perfectly. Then it meets your real process: data spread across systems, steps that need approval, and people with no time to learn another tool.
That's where AI projects stall.
An AI application gets past it. It knows which data to use, what it's allowed to do, and where its output goes next.
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What can we build?
AI applications
Build AI-powered applications that can analyze, generate, recommend, search, assist, and take action.
AI user experiences
Create custom interfaces that put AI behind an experience designed specifically for your team, customers, or workflow.
Document processing
Read quotes, orders, and forms as they arrive and turn them into structured records.
Search & answers
Ask questions of your own documents and records, and get answers your team can trace back to the source.
Recommendations
Suggest the next step, the right owner, or the likely risk, based on the data you already hold.
AI agents
Agents that carry out defined tasks across your systems, with people approving the steps that matter.
AI Companion
A workspace assistant for monday.com.
AI Companion is a workspace assistant we build inside monday.com. It drafts updates, summarizes accounts, and runs handovers, working from the boards your team already keeps.
We shape it around your workspace: which boards it reads, what it drafts, and what a person approves before anything goes out.
- WO-1043 moved to ShippingAutomation: status changed to Done 8m
- Approval needed · PO-338Steel bar below reorder point — 86 on hand 1h
- Agent drafted the weekly planCapacity 78%, three items flagged 2h
- First-article check passedQC-88 · signed off on the floor 4h
- Shipment booked · SO-8871Carrier confirmed for Thursday 1d
Drafts updates
Status updates and replies drafted from what's already on the board, ready for someone to review.
Work orders on time
94%
+6 pts vs last week
Open work orders
128
−14 vs last week
Stuck items
3
−9 vs last week
Machining capacity · this week Live
312h / 400h
Work orders per owner
Work orders per line
| Line | Total | Done | Working | Stuck |
|---|---|---|---|---|
| Line 1 · Machining | 46 | 31 | 12 | 3 |
| Line 2 · Fabrication | 38 | 27 | 11 | 0 |
| Assembly | 24 | 15 | 9 | 0 |
| Finishing | 12 | 9 | 3 | 0 |
| Shipping | 8 | 6 | 2 | 0 |
Illustrative figures
Summarizes accounts
The state of an account pulled together from its boards, so nobody has to read every update.
Runs handovers
When work changes hands, the next owner gets what they need to pick it up.
From idea to application.
You don't need to come to us with a technical specification. Come to us with the problem.
We combine UX/UI design, application development, monday.com, APIs, automation, integrations, and AI to turn business requirements into applications people actually want to use.
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Discover
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Design
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Prototype
With AI, the prototype matters more than usual. It runs on samples of your real work, so your team sees what the AI handles well and where a person needs to step in—before the full application is built.
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Build
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Integrate
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Launch
AI your team can check.
We design everything around the model as carefully as the model itself: what it can see, what it can change, when it asks a person, and how its work is reviewed. The AI takes the repetitive work. Your team keeps the decisions.
We highly recommend Worktables. They took the time to listen to all of our challenges and created an integrated system to manage all aspects of our operations.
Questions about AI applications
Why do AI pilots stall?
In a demo, AI summarizes a document perfectly. Then it meets your real process: data spread across systems, steps that need approval, and people with no time to learn another tool. An AI application gets past it. It knows which data to use, what it's allowed to do, and where its output goes next.
What is AI Companion?
AI Companion is a workspace assistant we build inside monday.com. It drafts updates, summarizes accounts, and runs handovers, working from the boards your team already keeps.
How do we know the AI's output can be trusted?
We design everything around the model as carefully as the model itself: what it can see, what it can change, when it asks a person, and how its work is reviewed. The AI takes the repetitive work. Your team keeps the decisions.
Can we see it work before it's fully built?
Yes. The prototype runs on samples of your real work, so your team sees what the AI handles well and where a person needs to step in—before the full application is built.
What should AI take off your team's plate?
Bring one process your team repeats over and over. We'll sketch the AI application that could run it with them.