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QAIYU

Automate. Elevate. Excel.

Your people keep the work that needs judgement

QAIYU builds AI agents that take over the operational work that repeats: support questions, scheduling, follow-ups, status reports. Not as an experiment, but as a process with a written boundary around what the agent may decide on its own.

Book a demoSee what we take over
  • One agent per process, not one agent for everything
  • A written boundary before anything is built
  • Every action the agent takes is logged

Why QAIYU

How this differs from buying an AI tool

  • The process comes before the technology

    We map how the work runs today, including the exceptions, before anything is built. Most automation projects fail on the exceptions, and those are exactly what a tool demo never shows you.

  • You decide where the agent stops

    What it does alone, what it prepares for a person, and what it never touches: that is agreed in writing first. An agent that may do anything creates checking work instead of removing it.

  • Everything it does is traceable

    Every action ends up in a log you can read. If a customer asks why something happened, the answer is in the record rather than in a model nobody can question.

Solutions

Where the repetitive work usually sits

Six parts of an operation where the same work comes back every week. Each one says what an agent takes over and what stays with your team.

Services

What QAIYU takes over

Six of the thirteen services, and the ones most work starts with. The full list is on the services page.

Platform

What an agent is made of

How an agent is built, how its behaviour is checked, where its knowledge comes from, and how people work alongside it. Four chapters, each one saying what the thing is before it says why it matters.

How it works

How a project runs

Four stages, in this order, and none of them starts before the previous one is written down. The order is the point: most of what goes wrong in automation goes wrong because someone built before the process was understood.

You can stop after any stage. The map from the first stage is yours whether or not anything gets built on top of it.

  1. We map the process

    How the work runs today, who touches it, and what happens when it goes wrong. The exceptions matter most, because they are the reason your current software cannot handle it.

  2. We agree the boundary

    Which actions the agent performs on its own, which it prepares for a person, and which it never touches. This is written down and signed off before a line is built.

  3. We build one process

    One workflow, running alongside the existing way of working rather than replacing it on day one. You compare the two before anything is switched off.

  4. We measure and adjust

    What it handled, what it escalated, and what it got wrong. That last number is the one that decides whether the next process is worth moving across.

Questions

Frequently asked questions

What happens when the agent gets it wrong?

It escalates to a person, and the case is logged. Which situations count as "wrong" is part of the boundary we agree up front, so the agent knows when to stop rather than guessing.

Do we have to replace our current systems?

No. Agents connect to what you already run. Replacing your stack to enable automation is a bigger project than the automation itself, and it usually is not necessary.

Where does our data go?

That depends on the setup and it is agreed before anything is built. Organisations with their own data-residency requirements are on the Enterprise tier, which can run inside your own environment.

How long before we see anything?

The mapping stage produces a document you can read within the first weeks. We do not put a delivery date on the build until that document exists, because a date given before the process is understood is a guess.

Which task would you hand over first?

Tell us which part of your operation eats the most hours. We map out what an agent can take over and, just as important, what it cannot.

Book a demo