We learned the problem by doing the work.
Service businesses carry thousands of small jobs between people and systems. We started 99 Agents to give that work a reliable owner.
What shaped 99 Agents
Built in live workflows
We start with jobs where buyers, systems, staff, and compliance rules meet. That is where useful AI has to hold up.
Close to revenue and delivery
The founders work directly on sales, delivery, channel relationships, and customer implementation. The company learns from the result of the work.
We use our own staff
AI staff already supports our revenue, delivery, finance, legal, marketing, and quality work. We learn by running the same model ourselves.
AI already knows what to do. The next step is execution.
An AI assistant can explain a problem and suggest a good plan. The work still has to move through the company, touch the right systems, and reach a person when judgment is required.
We build the staff for that part. Each agent has a job, a handoff, and an owner. We manage the staff and keep the useful parts from each deployment.
The pattern is already working.
The company thesis explains how customer work becomes a reusable way to build and manage AI staff.
Read the Company Thesis