Remote Says AI Helped It Grow Revenue Without Adding Headcount

Remote, the Amsterdam-based payroll and global employment startup, says it has increased revenue per employee by 50% after adopting AI across the company.

The company recently surpassed $300 million in annual recurring revenue and became cash-flow positive. According to Remote CEO Job van der Voort, the more important change happened inside the business: Remote grew revenue without expanding headcount at the same pace.

The company says AI is now used across departments, not only by engineers or senior executives. Remote has been building internal tools, experimenting with AI agents, and using automation to reduce repetitive work in payroll, compliance, engineering, and customer operations.

AI Became a Company-Wide Operating Layer

Remote’s AI adoption is not limited to one team. Van der Voort told TechCrunch that employees across functions are using AI tools to build internal apps and improve workflows. The company has created Remote Labs, an internal marketplace where staff can launch apps built on Remote’s own technology.

That internal system reflects a broader shift inside the company. Instead of using AI only for coding or content generation, Remote is applying it to operational work that usually slows down payroll and employment services. These include internal summaries, workflow automation, custom tools, and early experiments with agentic AI.

The company is also turning some of those internal lessons into customer-facing services. Remote Build, for example, is designed to help clients create custom workflows with support from Remote’s team. The model is similar to what some investors call forward-deployed engineering, where technical teams work closely with customers to build practical systems around specific business needs.

Payroll Is a Hard Problem to Automate

Remote’s core business is global payroll and employment compliance. That work involves different tax rules, employment laws, worker classifications, benefits, local regulations, and payment requirements across countries.

The company says AI is helping reduce the administrative load that comes with that complexity. Payroll itself may not be exciting, but it is highly repetitive, rules-based, and sensitive to errors. That makes it a strong candidate for automation when the right controls are in place.

Van der Voort said Remote already automated many of these processes before the current AI wave. AI has made that work easier and faster, especially where employees need to handle bureaucratic tasks across multiple countries.

Remote also says it now serves tens of thousands of companies. The company positions itself as a payroll provider for all businesses, not only fully remote companies. Van der Voort said most of Remote’s clients employ people in offices, despite the company’s name.

Remote Is Staying Focused While Rivals Expand

Many companies in the HR technology market have moved toward broader all-in-one platforms that combine payroll, hiring, benefits, employee management, performance tools, and workforce planning.

Remote has taken a more focused route. The company says it is concentrating on payroll and compliance because those areas remain difficult to solve globally. It sees the rise of AI as support for that strategy, especially as general software features become easier to build and replicate.

The company’s view is that the hardest operational layer will still matter. If AI makes front-end software easier to create, then infrastructure, compliance, and reliable data handling become more valuable. Remote wants to operate as the engine behind those workflows rather than only as another HR dashboard.

Remote MCP Opens Payroll Data to AI Agents

Remote has also launched Remote MCP, an interface based on the Model Context Protocol. The goal is to let AI agents and external platforms securely interact with payroll and compliance data.

That matters because business software is moving toward agent-driven workflows. Instead of clicking through several screens, a user may eventually ask ChatGPT, Claude, or another AI assistant to perform tasks inside connected business systems.

Van der Voort said that users could control Remote through AI tools if they wanted to, without needing to interact directly with the Remote platform. The company expects AI agents to become a more common way for companies to manage payroll-related tasks.

Security remains central to that vision. Payroll data includes sensitive personal and financial information, so AI access needs strict permissions. Van der Voort said agents should be able to do useful work without being allowed to perform destructive actions.

AI Coding Has Changed Engineering Output

Remote has also adopted AI-powered coding tools. According to van der Voort, engineering contributions have increased by more than 60% over the last year.

He also said that, over the past month, more than 85% of Remote’s code was written by AI. That figure reflects how aggressively the company has integrated AI into its engineering workflow.

The shift has affected hiring plans. Remote has not cut jobs because of AI, according to van der Voort, but it has reduced the need to hire in some departments. The company is now evaluating whether it should add more people or spend more on upskilling existing employees and AI tools.

That is one of the clearest business impacts of AI adoption inside Remote. The company is not only using AI to accelerate individual tasks. It is using AI to rethink how much hiring is needed to support growth.

Higher AI Spending Is Not a Concern for Remote

AI tools are not free, and many companies are now watching AI-related software and compute costs closely. Remote says its AI spending is increasing, but the company is comfortable with that growth because the efficiency gains give it room to invest.

Van der Voort said the company tracks its AI spending and views it as acceptable because Remote is becoming more efficient overall. In other words, the company is willing to spend more on AI if it helps avoid slower scaling, unnecessary hiring, or manual internal work.

This is the operating model many startups are now trying to reach: higher revenue, more automation, fewer repetitive tasks, and slower headcount growth.

What Remote’s Results Say About AI at Work

Remote’s results add another data point to the debate over whether AI is producing real business value. The company says it has increased revenue per employee by 50%, grown its core payroll business sharply, and improved engineering output without a matching increase in headcount.

Some of those figures come directly from Remote and have not been independently verified. Even so, the company’s story shows how AI adoption is changing the way startups think about scale.

The bigger lesson is not that AI replaces every role. Remote’s example suggests a more specific pattern: AI can reduce repetitive work, raise output from existing employees, delay some hiring, and make internal software creation faster.

For payroll and compliance companies, that could be especially important. These businesses deal with complex rules, sensitive data, and high volumes of repetitive administrative work. If AI can safely handle more of that work, companies like Remote may be able to grow faster without building much larger teams.

Remote’s case also shows where the future of business software may be heading. AI agents may not simply sit beside workplace tools. They may become the way employees interact with payroll, HR, finance, and compliance systems. For Remote, that shift is already part of the company’s internal operations and product strategy.