Fixercore
Process and AI

Every company has untapped capacity.

We get that out, and not out of the team.

There are several kinds of work we can do at a company, and each one can be ordered on its own. We always start with one thing, and after every step the company decides whether to go on.

Process and AI

One process at a time.

Fixercore Day

The first automated process, in a single day.

We spend a day at the company, and together with their team we build one process that today runs on paper or by email. Beforehand, in a short conversation, we pick which one it should be. We choose something that can be carried through in a day. It is built in the system they already pay for, so nothing has to be bought for it. Along the way we show how the system works for this task, and we teach the colleagues to use it. By the end of the day it works, and they can run it themselves.

What it covers →

Fixercore Module

For those who know what is missing.

We build a missing record in the system the company already pays for. For example a leave request, a fault report or a purchase request: form, approval path, notification. In the end the task runs in a system, and it is visible how far it has got.

What it covers →

Fixercore Process

For those who already have software, but do not get out of it what is in it.

We set up the company's existing software so that the process really runs on it: fields, views, permissions, notifications. We do not buy anything new. In the end the process is documented, it has an owner, and it is visible how far each item has got.

What it covers →

Fixercore Software

For those who looked for a solution and did not find a good one.

We write custom software for the one thing that has no ready-made tool. Beforehand we check whether there really is none, because that would be cheaper. The feature list of the first version is put in writing, and that is what we build.

What it covers →

Fixercore AI

For those whose processes are already in order.

We hand one specific task over to an agent, with limits and human review. Only where the process is in order and the data is in place, because anywhere else AI only produces a bad result faster.

What it covers →

We always start with one thing, and after every step the company decides whether to go on. You do not have to do all of them, and in some places one is enough. Each one stands on its own, and what gets finished becomes the basis for the next. The pace is set by what the team can take, not by a schedule decided in advance.

What stays behind us: the documented process and the knowledge base that goes with it, at the company, searchable. Data handling, access rights and the approval chain for AI are part of the work, not an extra charge.

What people usually ask

We do most of the work, this is not an eight hour a week commitment. Ideally there is someone at the company who finds it interesting, can set aside time for it, and grows into the task along the way. We teach that person throughout. And there is a manager who backs the project.

The most common trouble is not that there is too little data, but that the same thing appears in several places and none of them match. So at the start we sort out what belongs where, and which source counts as authoritative. We work out the structure together, and the company maintains the data. From then on there is something to build on.

Most of the time you do not. First we look at what the company has, and get out of it what can be got out of it. In most places it turns out that they do not use even half of what they already pay for. New software comes up only if it really cannot be done otherwise, and then the smallest possible one, not a large IT project.

It tends to show up in three places. You do not have to buy new software for what the company already pays for. You do not have to take on a new person in order to take on more work. And there are fewer of the mistakes that have a price, such as downtime, delay or work done twice. At the beginning of the first step we agree on what the difference will show up in, and at the end we look at the same thing. The number will belong to the company, not an average measured somewhere else.

The documented process and the knowledge base that goes with it stay at the company, searchable. That way the operation depends less on one or two people. If there is a need for it, we stay alongside with monthly support afterwards as well, but we build it so that it works without that too.

Let us start with a conversation.

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