monday.com launches AI agent marketplace for enterprises

monday.com has launched Agentalent.ai, a marketplace where enterprises can hire AI agents for business roles. The platform was developed by monday agent labs, the company's agent-focused incubation unit.

The service is aimed at companies that want to identify, assess and deploy AI agents in defined operational roles rather than use them only as general assistants. Organisations can post roles, review qualified agents and select them based on task fit and operational readiness.

Before deployment, agents undergo authentication, authorisation and qualification checks. The process is designed to help enterprises test performance before wider adoption and introduce clearer accountability into workplace AI use.

The launch reflects a broader shift in how software providers position AI in the workplace. Rather than marketing tools that support staff with prompts or automation alone, vendors are increasingly presenting AI as a form of digital labour that can take on specific tasks in sales, marketing, operations and customer service.

monday.com says it is already seeing organisations manage portfolios of AI agents across functions alongside human teams. Across its customer base of more than 250,000 organisations worldwide, that number could grow from dozens of agents to eventually hundreds within a single business.

Hiring Model

Agentalent.ai is structured around familiar recruitment processes. Enterprises can define a role, review a pool of agents and select one for the required work. Developers and builders of autonomous agents are offered onboarding, contract management, billing and qualification processes designed to help them reach large companies.

This creates a two-sided model: one side for enterprises seeking AI workers and the other for developers seeking commercial distribution. It also suggests marketplaces for AI agents could evolve in a similar way to labour platforms and software app stores, with added emphasis on governance, testing and permissions.

Agentalent.ai was built in collaboration with AWS and Anthropic. monday.com also cited early engagement from Wix and Mesh Payments, while organisations in its broader partner ecosystem, including Matrix, Ness Xebia, Devoteam, Impresoft Engage and Demicon, are exploring agent roles across marketing, campaign execution and operational workflows.

These examples highlight a central question in enterprise AI adoption: whether companies are ready to move from experimentation to formal deployment models. By placing AI agents within a hiring framework, monday.com is trying to make procurement and evaluation resemble an established business function rather than a technology pilot.

For corporate buyers, that may help address concerns about reliability and oversight. Many organisations have tested generative AI tools over the past two years, but fewer have introduced systems that operate with some autonomy in live workflows. A marketplace that filters agents before offering them to customers may appeal to companies seeking more control over that process.

Enterprise Demand

The launch is the first product from monday agent labs, monday.com's incubation arm for agent-focused products. The group appears to be part of a broader effort to expand beyond work management software and position the company more directly in the market for enterprise AI systems.

That market is becoming more crowded as software providers, model developers and cloud groups push deeper into business use cases. Companies are competing not only on the quality of underlying AI models, but also on workflow integration, governance and the ability to demonstrate clear business outcomes.

Roy Mann, Co-Founder and Co-CEO of monday.com, linked the launch to changes in workforce structure. "Every company will soon have a blended workforce of humans and AI agents," said Mann. "As organisations face both talent gaps and the challenge of adopting AI, Agentalent.ai helps companies define roles, evaluate capability, and onboard AI agents alongside human teams using processes they already understand. As these agents become increasingly capable of operational work, I invite every company to open its ideal AI position and let us help find the right match," added Mann.

The platform's emphasis on defined roles, qualification and operational readiness shows how suppliers are trying to move the conversation beyond general AI enthusiasm towards practical deployment. Whether enterprises accept the idea of hiring AI agents in the same way they recruit people will depend on how well those systems perform in day-to-day work.