Meet Sweater’s Newest Hires. None of Them Are Human

In nearly every department at Sweater, a new colleague has joined: with a name, a signature, and a defined role… yet without a desk.

We do not mean this as a figure of speech. We have built at Sweater an intelligent model that reaches across all our internal departments, creating an AI agent in most of them — one that works alongside the team rather than apart from it, wired directly into our systems and data.

Why We Started with the Job, Not the Tool

Most companies begin with an easy question when they bring AI into their work: which tool do we buy? We at Sweater began with a different one, in the belief that what matters is the role and not the instrument: what job does each department actually need? From that question every agent was born, carrying a role that can be described and measured, exactly like any employee.

Our aim has stayed the same throughout: never to do away with anyone, but to develop the employee and the department together. The agent takes on the repetitive work that drains time, freeing the human for what no one else can do — judgment, creativity, and the final decision.

Three Colleagues, Three Roles

In Operations, “Mohammed” watches our field operations on the map in real time, reading expected demand and growth in each zone across the city, and alerting the team early so operations run at their best before pressure turns into delay.

In Marketing, “Rakan” follows our digital campaigns in full detail, gathering them into daily, granular reports — and he does not stop at monitoring: he assesses the quality of each campaign and recommends adjusting the budget or taking a specific action to reach its goal.

In Finance, “Wafi” masters the reading of our operations and departmental budgets, scheduling payments and ranking them by priority, pointing to the factors that drive our financial growth, and balancing always between cash flow and the company’s strategic plan.

One purpose unites them: yesterday’s information remains a reference, but today’s data matters more, and tomorrow’s indicators matter most of all. And so their role does not end at gathering data; for some of them it extends to recommending and making decisions within clear limits, while the major decisions stay in human hands.

What This Means

AI is no longer a side experiment at Sweater; it has become a core part of our daily work — with a name, a role, and a responsibility. And when every department has a colleague that reads its data and decides within its limits, the conversation is no longer about a company that relies on technology, but about a company built on it.