About
Software that does the work, people who answer for it
QAIYU builds AI agents that take over operational work. What follows is how that is approached, and where the limits are drawn.
Most businesses run part of their operation on repetition: the same intake, the same follow-up, the same status update, week after week. That work is too small to hire for and too constant to ignore, so it lands on people who were hired to do something else.
Why an agent instead of a tool
A tool waits to be used. An agent picks the work up. That difference sounds small and decides everything about whether automation actually removes hours: software you have to remember to open does not remove a task, it adds one.
It also raises the stakes. Something that acts on your behalf can act wrongly, which is why every build here starts with a written boundary rather than with a model.
What we will say no to
Work that changes shape every week costs more to maintain as an agent than it costs to keep doing by hand. Decisions about people, prices or risk belong with a person who can be held to them. When a process falls into either category, the honest answer is that this is not the place to automate, and you will get that answer rather than a quote.
Who is behind QAIYU
To be supplied. Names, roles and photos of the people behind the company belong here. Nothing has been written for this section because inventing a founder is not an option, and a page about accountability without a single name attached undermines the rest of it.
In the meantime, questions reach a person rather than a queue: the contact page has the address, and governance covers how agent behaviour is checked, which is usually the question behind the question. What we learn while building is written up on the blog.
Start with one process
Describe the work that repeats every week and QAIYU will map out what an agent can take over, and what it cannot.
