How Will monday.com’s AI Vision And ‘service’ Platform Empower Businesses?

Over two years into the AI revolution, the hype cycle has died down, and organisations are now experimenting with what AI can meaningfully do for them. What are AI’s tangible use cases? What is its palatable ROI? These are the questions businesses are now grappling with.

Enter monday.com, which has observed the divide between AI as a concept and AI as a series of practical applications and tools and intends to bridge it. This week, the work management platform made two significant AI-oriented announcements that rubberstamped its AI ambitions.

Firstly, it confirmed that its AI-powered “monday service” platform is out of beta and now available for all customers to elevate business service management. monday service, an AI-driven Enterprise Service Management (ESM) platform, empowers service teams to streamline operations and deliver support with greater efficiency across the organisation.

Secondly, the work management business outlined its new AI Vision, which is underpinned by three pillars: AI Blocks, Product Power-ups, and the Digital Workforce.

Filling A Gap In The Market

Both announcements accelerated monday.com’s AI plans while catering to market demand for practical AI applications like sophisticated service management.

“The rise of AI created a unique opportunity to build an AI-powered service management solution,” Roi Kimche, Global Product Lead at monday service, told UC Today. “This aligns with monday.com’s broader AI vision of addressing the unique challenges businesses and employees encounter and our commitment to enterprise platform readiness.”

“By centralising and streamlining service operations, monday service enhances efficiency, scalability, and overall customer experience, empowering agents with automation, intelligent insights, and faster response times.”

Kimche asserted that monday service was born out of market demand and internal needs.

“We saw a strong pre-existing market fit where many of our existing customers were already leveraging our Work Management (WM) platform to fulfil the vision of a service management solution,” Kimche explained. “At the same time, our own internal IT team attempted to extend WM to support its service operations, reinforcing the necessity for a dedicated product.”

Kimche outlined that monday service intends to deliver compelling value by being fully customisable, AI-powered and capable of being seamlessly integrated into business workflows.

Among its most eye-catching features are AI-driven service agents that leverage organisational context to grant intelligent, personalised recommendations and take proactive actions; integration with other monday.com products to enable teams to connect tickets with WM projects, AI-driven tickets triaging and smart routing; comprehensive dashboards to track service operations and performance; and a drag-and-drop workflow builder that simplifies the setup of any service process.

Kimche also noted that this is only the beginning of monday service and that the platform is “on a multi-year journey to becoming a leader in service management”.

“Our goal is to be the best-in-class solution for service teams across various industries while continuously driving innovation to define the future of service operations,” he added.

“As AI evolves, we are committed to leading the way in bringing cutting-edge AI capabilities into service management—going beyond existing tools to pioneer new, intelligent solutions. By leveraging our multi-product platform and staying true to monday.com’s mission of democratising the power of software, we will continue to build a service management product that meets our customers’ evolving needs.”

Kimche highlighted that monday service has shown strong early financial performance and rapid customer adoption, indicating a promising long-term trajectory for the product. “As monday service evolves, we will introduce features, integrations, and automations to enhance productivity, collaboration, and customer satisfaction,” he said.

An AI Vision In Both Theory And Practice

Similarly to the inspiration behind monday service, monday.com’s AI vision originated in identifying the time-consuming, repetitive tasks that slow down operations for all businesses, whether SMBs or large enterprises. Smaller companies often don’t have the same resources or budgets as their larger counterparts, making it problematic to scale effectively.

These challenges are complemented by the obstacles of large amounts of scattered data being spread across different projects, teams and tools. This makes gaining clear insights or informed decisions hugely tricky without a way to monitor, modify, and act on large-scale data without becoming overwhelmed.

“We built our AI capabilities to address these pain points,” Assaf Elovic, Head of AI, AI vision, at monday.com, explained to UC Today. “By automating workflows, surfacing key insights, and streamlining decision-making, we’re helping businesses stay ahead without needing extra resources. Our mission is to democratise AI, making it accessible and impactful for every business, not just the big players.”

What does it mean to democratise AI and make it actionable for businesses?

“Making AI actionable means putting its power directly in customers’ hands without requiring technical expertise,” Elovic said. “AI shouldn’t be some abstract, complicated technology. It should be easy to use, intuitive, and seamlessly integrated into everyday workflows.”

“At monday.com, we achieve this by embedding AI across our platform, from boards to workflow automation to project management. Users can set up AI-powered automations using AI blocks that handle tasks like prioritising risks, summarising conversations, extracting information from large files, or resolving support tickets without needing to write code.”

In short, Elovic asserted that making AI actionable means businesses can understand their data better and take immediate steps to bolster operations, solve problems faster, and work more effectively.

The key to this progress is monday.com’s Digital Workforce, which Elvoic emphasised enables businesses to operate at a level that was previously impossible, regardless of size. By automating repetitive workflows, Elovic stated that companies can reclaim hours every day and focus on high-value work.

“For example, our AI can proactively surface risks in large projects, making them more predictable and manageable,” Elovic said. “In customer support, our AI-first digital service worker can automatically resolve tickets, freeing up human agents to handle more complex issues. This not only improves efficiency but also enhances customer satisfaction.”

This could be particularly pertinent for SMBs.

“Smaller businesses often lack the resources to scale like larger enterprises, but with our AI blocks and digital workforce, they can level the playing field,” Elovic continued.

“Instead of hiring additional staff for manual, time-consuming tasks, SMBs can ‘hire’ digital workers to complete tasks—whether it’s managing operations, automating client communications, or streamlining order fulfilment. This allows them to scale faster, serve more customers, and focus on growth, all without the overhead of expanding their teams too quickly.”

Underpinning monday.com’s AI Vision is the central ambition behind its AI-driven solutions: to help businesses scale faster, reduce operational bottlenecks, and make better decisions with less effort. “We want to give every company, regardless of size or technical expertise, access to powerful tools that help them reach their full potential,” Elovic added.

As with monday service, this collective AI Vision is only the start. Elovic stressed that the long-term goal is to make monday.com an “AI-first platform”. This means AI isn’t exceeding the stage where it’s viewed as an accessory but rather a core part of businesses’ operations.

“We believe AI has the potential to solve some of the most demanding business challenges — whether it’s making projects more predictable, improving decision-making, or automating complex workflows,” Elovic said.

“In 2025 and beyond, we’re doubling down on AI-driven automation and intelligence,” he continued. “We want businesses to use AI not just for small tasks but also to redefine how work gets done. That means evolving our digital workforce to handle increasingly sophisticated workflows—whether it’s fully managing customer service tickets, optimising project execution, or predicting business risks before they escalate.”

Elovic outlined that monday.com is also focusing on AI-powered insights. Instead of teams spending hours sifting through data, Elvoic suggested that the vendor’s AI will soon proactively surface key risks, trends, and recommendations, helping businesses make better decisions faster.

“Features like our risk analyser, smart summaries, and AI-driven workflow builder are just the beginning,” Elovic said. “Most importantly, we want to democratise AI for every business, regardless of size or technical expertise. Our vision is a future where any company can build, automate, and optimise their operations using AI without needing data scientists or complex setups.”

“Simply put, our broader ambition is to redefine work through AI, making it smarter, faster, and more efficient than ever before.”