Inside on Monday AI Pivot: Building a digital workforce via modular AI

Thehe Monday.com The work platform has been steadily increasing over the last decade, in an effort to achieve its goal of helping Team In organizations, small and large to be more efficient and productive.

According to co -founder Roy Mann, AI is part of the company for much of its history. Initial cases of use supported his own effectiveness marketing. (S)Which of us has not seen an ad on Monday sometime in the last 10 years?) Much of these efforts take advantage of AI and machine learning (ML).

With the advent and popularity of generative AI over the last three years, especially after the Chatgpt debut, Monday – similar to any other enterprise on the planet – began to consider and integrate technology.

However, the initial implementation of the Gen AI on Monday does not generate the return of the users requested by users. This conversion led to a slight rethinking and rotation, as the company seemed to give its users to AI -powered tools, which actually help to improve the working processes of businesses. This Pivot is now manifested with the company’s “AI Blocks” technology and the visualization of its AI technology, which it calls “digital workforce”.

The journey on Monday in the biggest part is related to the realization of the fundamental vision of the company.

“We wanted to do two things, one is to give people the power we had as developers,” Man told Venturebeat in an exclusive interview. “So they can build whatever they want, and they feel the power we experience, and the other end is to build something they really love.”

Each type of supplier, more special provider of corporate software, always tries to improve and help its users. AI adopted on Monday fits in this model.

The company’s AI public strategy is developing through several different phases:

1. AI assistant: initial integration throughout the platform;
2. AI blocks: modular AI capabilities to customize the workflow;
3. Digital workforce: AI agency.

Like many other suppliers, the first public raid in Gen AI included assistant technology. The main idea with any AI assistant is that it provides a natural language interface. Man explained that the assistant on Monday AI was originally part of the company’s formula builder, giving non -technical users the confidence and ability to build things that they had not been able to before. Although the service is useful, there are still many more that organizations need and want to do.

Or Fridman, a leading product group AI on Monday, explained that the main lesson learned from the deployment of AI assistant is that customers want AI to be integrated into their working streams. This is what made the company develop AI blocks.

Construction of the Corporate Workproof Foundation with AI blocks

Monday realized the limitations of the AI ​​assistant approach and what users really want.

The most, AI, the functionality must be in the right context for users – directly in a column, component or automation of services.

AI blocks are pre -built AI features that Monday made it accessible and integrated directly into their workflow and automation tools. For example, in project management, AI can provide risk analysis and predictability, helping users to manage their projects better. This allows them to focus on higher level tasks and decision-making while AI handles a more overrun or intense work.

This approach is of particular importance for the user base of the platform, 70% of which consist of non -technical companies. The modular nature allows businesses to apply AI capabilities without requiring deep technical expertise or major interruptions in the workflow.

Monday undertakes model an agnostic approach to integrate AI

An early approach taken by many suppliers on their AI trips was to use a big language model (LLM). From there, they could build a wrap around it or refine themselves for a particular case of use.

Man explained that Monday is taking a very agnostic approach. According to him, the models are increasingly becoming a commodity. The company builds products and solutions on available models instead of creating its own models.

Looking a little deeper, Asaf Elovic, director of AI on Monday, noted that the company uses different AI models. This includes Openai models such as GPT-4O through Azure and others through Amazon Bedrock, providing flexibility and high performance. Elovic noted that the use of the company follows the same standards for data residence as everyone on Monday is presented. This includes multi -region support and encryption to ensure the confidentiality and security of client data.

Agent AI and the road to the digital workforce

The last step in AI’s journey on Monday is in the same direction as the rest of the industry – the acceptance of agent AI.

The promise of agency AI is more autonomous operations that can allow the whole work process. Some organizations build agent AI at the top of the frames as Langchain or AI crewS But this is not the specific direction that Monday takes on its digital labor platform.

Elovic explained that the Monday agent is deeply connected to his own infrastructure on AI blocks. The same tools that power its agents are built on AI blocks such as mood analysis, information retrieval and summary.

Magni noted that the digital workforce is not so much for the use of a specific agricultural tool or frame of AI, but for creating better automation and flow through the integrated components on the platform on Monday. Digital workforce agents are tightly integrated into the platform and workflows. This allows agents to have a contextual awareness of the data, processes and existing user settings on Monday.

The first digital workforce agent will become available in March. Mann said it would be called an “expert” on Monday, designed to build solutions for specific users. Consumers describe their problems and needs of the agent and AI will provide them with appropriate work processes, boards and machines to deal with these challenges.

AI Specialization and Integration provides a commodial market differentiation

There is no shortage of competition in the markets that Monday serves.

As a workflow platform, it crosses many verticals in the industry, including customer relationship management (CRM) and project management. There are big players in these industries including Salesforce and Atlasianwhich both have invested deeply in AI.

Man said deep integration with AI blocks into various instruments on Monday distinguishes the company from its rivals. At a more essential level, he said, really everything is in the meeting with the users, where there are also useful AI capabilities in the context of the work process.

Monday’s evolution implies a corporate software development model, in which AI capabilities are deeply integrated but very adaptive. This approach refers to a decisive challenge in Enterprise AI: the need for solutions that are both powerful and accessible to non -technical users.

The company’s strategy also indicates a future in which the implementation of AI focuses on empowerment, not replacement.

“If a technology makes big companies more efficient, what does it do for SMB?” Man said, emphasizing how AI democratization can events playing conditions between large and small businesses.