ai.work built an AI worker OS to cut through SaaS sprawl with agents trained on your business logic.
ai.work is well-positioned to address the challenge of integrating autonomous workers into workflows. Founders Maor Ezer and Nir Nahum have strong industry knowledge and have surrounded themselves with equally experienced key staffers. The team has also successfully worked together before.
Investors are excited. The one-year-old company exited stealth with $10 million in seed funding led by A* and lool ventures. Other participants include First Minute Capital, Firsthand VC, Timeless Partners, SV Angel, Eckstein Capital, Liquid2, Crossover vc, and some strategic angel investors.
Ezer, ai.work’s CEO, previously founded Abbi.io, a service that increases mobile in-app engagement and revenue. One year in, it was sold to digital adoption platform WalkMe, where Ezer spent the next seven years in several C-suite roles and met Nahum.
Ezer observed digital adoption issues companies experienced, which encouraged him to find a better way. Many spent big on technologies with little idea of how it affected employees and their work experiences across applications.
“I learned all the internal workflows that are in an organization,” he said. “And I saw how SaaS was weighing down so heavily on organizations.”
Ezer said some SaaS forces companies to structure their logic and workflows to comply with it. The initial cost is significant, and the implementation period is lengthy. Many companies hire staff to ensure operations run smoothly and to integrate systems.
“SaaS weighed down organizations by creating these very complex workflows that are interdependent and (hampered) organizations where they worked for the SaaS, instead of it working for them,” Ezer said.
Another patch was the last thing businesses needed. Ezer and Nahum sought to build an AI machine that could generate micro SaaS on the fly.
“From Day One, we sought to free everyone from this SaaS nightmare.”
Ezer explained that some SaaS companies foster dependence by owning the database and business logic layers. ai.work builds autonomous workers by extracting business logic from software, employees and general communication channels. Agentic technology allows companies to have multiple agents for various use cases, leaving the incumbent software as mostly a database.
“Imagine a world where you’re doing everything with AI agents,” Ezer said. “Salesforce and ServiceNow just became databases. I’m guessing, in two years, people will scratch their heads and ask why they’re even holding my data there. They’ll move it to a data lake, one centralized place.
“Suddenly, you have this new world of enterprise where micro agents are holding the business logic. Your organization can fly much faster. (SaaS companies) make their product better. We’re trying to make your business better.”
ai.work is building an AI worker operating system that cooperates with people. Armed with the organizational knowledge, and increasingly over time, context, the AI worker can proactively solve problems.
Perhaps a new employee needs system and email list access. Insert an AI worker in the ticketing and communications systems. It determines if it can address the problem directly or delegate it to an agent below. Humans can approve the output.
“They view the AI worker as maybe a junior employee,” Ezer noted. “But we’re already seeing up to 40% of tickets handled when they wake up in the morning, instead of an SLA of two to three days for them to reply to a ticket.
“Suddenly, the SLA is five minutes.”
Need an AI agent to tackle common tasks? Tap one of ai.work’s pre-built, customizable options specializing in IT, operations, legal, HR, procurement, travel and finance, or native integrations into ServiceNow, Slack, JIRA, Google Workspace, Salesforce, Microsoft 365, and other enterprise applications. Design one for more company-specific tasks.
“It will build the whole thing out for you in a minute,” Ezer said. “We’re putting a lot of effort into that. Imagine you’re on a call with some teammates, and you’re thinking about a process that you want to implement, and you finish that call by giving it what you want.
“It just built it, and now you’ve got a full-on internal workflow.”
More magic is on its way. ai.work will soon offer automatic solutions based on an analysis of incoming tickets. If it detects that a portion of the tickets are about one problem, it automatically creates an agent to handle those tasks. With ai.work being platform-agnostic, the work can happen atop any enterprise application.
“We care about your business,” Ezer said. “We don’t care about our application.”
