Practical AI for everyday work
We help teams find the repetitive work worth improving, then build and maintain the tools that do it.
It is the inbox that has to be read and sorted before the real work starts. The documents copied from one system into another. The question that has been answered a hundred times, somewhere nobody can find.
AI is good at exactly this kind of work, but only when it is fitted to how your team actually works, checked by the people responsible for it, and looked after once it is running. That fitting, checking and looking after is what we do.
Examples of the problems we work on. They describe the work, not results for a client.
Each stage ends with a decision you make: carry on, change course or stop.
We sit with the people who do the work, map it step by step, and choose the one part where a tool would help most.
A small working version, used by a few people on real cases, running alongside the current way of doing things.
When the pilot holds up against the old way, it goes to the whole team, with training and a way to switch it off.
Models, data and processes change. We keep the tool working, and tell you when it is time to change it.
What we agree before anything is built.
We agree up front which steps a tool may complete on its own and which need someone to approve them.
Before we build, we write down what a tool may read and where it may send it. It does nothing else.
Every pilot is compared with the way the work was done before. If it is not better, we say so.
Each tool has a plain manual fallback, so the work carries on if the tool stops.
Our product
We build tools for our own work too. asklog lets developers run coding agents such as Claude Code and Codex on their own computers, and pick up the same session from a phone, another computer or a browser.
Describe the workflow in a few lines. We will reply by email and tell you honestly whether we can help.