Monday.com adds AI across project workflows, from intake to approval

AI is now sitting at the front of the workflow

monday.com is no longer positioning AI as a handy add-on for writing task updates or summarizing a board. The company’s latest project-management guide shows AI moving into the first mile of work itself: request intake, triage, approvals, and the handoff into execution. That matters because the slowest part of many projects is not the work itself, but the managerial overhead that decides whether work should happen at all.

The new flow is simple on paper and more consequential in practice. Requests come in through WorkForms, AI helps extract the details and sort them, a project approval board decides what gets priority, and larger boards track execution across teams. For a company with more than 250,000 customers worldwide, and a growing base of larger enterprise accounts, this is monday.com trying to become the system that shapes the work before anyone starts doing it.

Intake becomes triage, not a pile of incoming requests

The most practical part of the update is the intake layer. monday.com’s guide shows WorkForms as the entry point for new requests, then uses AI blocks to pull out key details, assign labels, detect sentiment, and generate documents from incoming submissions. In a real workplace, that replaces the usual mess of inbox chasing, manual categorization, and copy-pasting the same information into a board after the fact.

That is where the product earns real utility. A manager or ops lead does not need another tool that merely turns a sentence into a task. They need a way to turn a vague request into structured information fast enough to keep the team moving. AI that extracts the basics, tags the request, and drafts the first version of supporting docs can remove genuine busywork, especially when intake volume is high and requests come from different departments with different levels of urgency.

The sentiment piece is more interesting than it sounds. It is not a substitute for judgment, but it can help flag whether a request reads like an urgent escalation, a routine ask, or a frustrated follow-up. That kind of lightweight signal can help route work faster, which is exactly the kind of invisible operational lift monday.com wants AI to provide.

Approvals are where monday.com is making the bigger bet

The second stage of the workflow is where the company’s strategy becomes clearer. The guide walks users into a project approval pipeline board that is meant to triage and prioritize work before it spreads across the business. This is a meaningful shift in framing. monday.com is no longer just helping teams track tasks after a decision has been made. It is trying to shape the decision itself.

That is where Sidekick comes in. monday.com describes Sidekick as a way to create project assets end to end, including drafting project briefs in workdocs and taking board-wide actions based on project data. The support documentation goes further, saying Sidekick can create, edit, update, and delete board items, groups, columns, and labels, while also surfacing insights from board data. In other words, the assistant is not just a text generator. It is being built to act inside the board structure that already governs how many teams work.

For employees in product and engineering, that is the core product story. monday.com wants AI embedded in the primitives people already use, not layered on top as a separate chatbot experience. For managers, the promise is reduced approval friction: fewer handoffs, less reformatting, fewer repetitive steps before a project gets the green light. The hype is that AI will make approval smarter. The real win, if the system works as intended, is that it makes approval faster and more standardized.

Execution still matters, but the workflow is getting wider

Once work is approved, monday.com’s guide moves to higher-level boards that track execution across teams. For Enterprise customers, the company points to a portfolio solution designed for project management at scale. That matters because the hardest part of workflow software is not building one tidy board. It is coordinating multiple boards, multiple owners, and multiple departments without letting the process break into silos.

This is also where monday.com’s AI pitch becomes more useful to sales teams. The company can now sell a cleaner enterprise story: AI is helping teams intake ideas, standardize evaluation, and move work across departments faster. That is a stronger pitch than “AI helps you finish tasks.” It speaks to the bottleneck that many large organizations actually feel, which is the lag between someone having an idea and someone approving it.

The scale numbers help explain why monday.com is leaning so hard into this. In fiscal 2025, the company reported $1.232 billion in revenue, up 27% year over year. Fourth-quarter revenue came in at $333.9 million, up 25% year over year. Customers with more than $50,000 in ARR made up 41% of total ARR at the end of the year, and the company said its enterprise customer count in that tier rose 34% year over year, from 3,201 to 4,281. For a public SaaS company, that is the kind of mix shift that makes workflow depth and enterprise control more important than flashy surface features.

The AI usage data suggests this is becoming habit, not demoware

monday.com is also trying to prove that the AI layer is being used at scale, not just showcased in product demos. The company says more than 67 million AI actions have been executed on its platform, and more than 17,000 apps were built with monday vibe in just a few months. Those are the kinds of figures that turn an AI strategy into something closer to an operating pattern.

The July 10, 2025 launch of monday magic, monday vibe, and monday sidekick made the company’s direction explicit: monday.com said it was moving from work management to work execution, and it framed the new AI capabilities as a response to real customer needs, designed to make AI accessible without technical expertise. The April 2026 guide shows that shift showing up in the product itself. AI is no longer being treated as a side feature people try when they have time. It is being inserted into the path every project takes from idea to approval to execution.

For monday.com employees, that is the strategic message to watch. The product is becoming less about storing status and more about orchestrating decisions. If the company gets this right, the most valuable part of monday.com will not be the board that tracks work. It will be the layer that decides how work enters the system in the first place.