What do we want to do ourselves?

They write, draw, compose a piece of music, design a part. They have something in mind and pick up a tool to give it form.

It takes creativity, heart and feeling. What am I trying to express? What do I want to change? What do I think is right, or beautiful, or important?

“Whatever AI can do, whatever it can generate, however it does it. The act of creating stays in human hands.”

AI can help us with that. It can suggest things, offer variations, show us connections and give us ideas. We want to experiment with it. To be surprised, too.

And we want to have something of our own to say. To work out what we have in mind. To decide which idea interests us and which sketch makes us feel something. To spend time with what we make and take responsibility for it.

Sales needs certain details. The planners need others. The people making the part need others again. It’s still the same order. When something changes, the right people need to hear about it. When something is missing, someone needs to notice.

How should we schedule this order? Where are we short of material? What can we promise the customer? What will a delay mean for the rest of the business? These decisions take experience and judgement.

When those same people have to enter details several times, hunt down information and check one list against another, it takes the attention they need for the decisions themselves.

This is where we start with Carepie. We want software to keep track of those connections and take on the work that goes with them. Bring the details together, carry them across, check what depends on what and flag what’s missing. That gives you time to think about what it all means for your work.

You know how your business works.

Who prepares the work. Who makes the decision. Which details people need and when. Where there are exceptions and why. There has to be room for that knowledge in your software.

Maybe you need another check before signing off an order. Maybe a whole step can go. Maybe two departments need to see the same information from different angles. When you find a better way to work, the software has to be able to change with you.

Running a business means making decisions every day. Some rules come with the work you do. Others are rules you’ve chosen for your own company. We want your software to know both and help you catch a mistake while there’s still time to act.

Suppose a job requires a permit from the local authority. Work is due to start on Monday. As you pull the paperwork together, Carepie should be able to tell you which document is missing, which rule calls for it and where to get it. If it’s unclear whether the rule applies to this job, someone needs to check that point.

You set the spending rules for that same job yourselves. The project lead might be able to order materials up to an agreed amount, with anything above that going to management. Here’s what we’d like the software to say.

“This order is above your spending limit. I can pass it to management for a decision.”

Management can approve the order. The permit for the job still has to come from the relevant authority. As the business changes, you should be able to change your own approval rules. As the people running the platform, we take responsibility for sign-in, protecting data and checking access. A new view must respect the same access rights as the old one.

You’ve promised a customer a fixed price. Purchasing is paying more for the materials. Sales is already preparing the next quote. Everyone’s doing their job. Who puts those pieces together in time?

This is the kind of thinking partner we want Carepie to become. While the next quote is still on the table, the software should be able to start the conversation. “Materials have cost more on your last few orders, but the prices you quote haven’t changed. Shall we look at what that means for your margin?”

Maybe the higher price was a one-off for a rush delivery. Maybe the supplier’s prices have gone up for good. Carepie should show you which records the figures come from and which costs it assumes will stay the same. Whoever opens the analysis should see only information they have permission to access.

Knowing that, you can price the next quote differently, negotiate with the supplier or accept a smaller margin. You decide what a relationship is worth to you and which risks you’re willing to take. We want the people running a business to have the time and headspace for those decisions.

An order eventually leaves the screen. Someone needs materials. A machine has to run. Something has to be made, moved or delivered. That’s where control systems and infrastructure come in.

We’re starting with the software you use to organize information and plan your work. In time we want to connect it to the systems that carry the work out, so a change reaches the place where it needs to take effect.

Building that connection means deciding who is responsible and which approvals are needed. That’s where we want to go, from the information, through the decision, to the work being done.

Instagram, Facebook and TikTok belong in this picture too. Someone publishes something. Other people see it, hear it or read it, and spend time thinking about it.

A film. A picture. A piece of writing. Music. An explanation that finally makes something click. What interests us is what people have to say and show. Their perspective, their experience, their work.

Software can help us produce that work, prepare it for an audience and make it accessible. What matters to us is that people get to make something of their own and let others share in it.

Einstein is a good example. Imagine standing in a lift. While it’s at rest, you can feel the floor beneath your feet. If the lift falls freely, your body and the floor accelerate together. You no longer feel your own weight.

Imagining that situation opened up a new way of thinking about gravity. Einstein’s reasoning about free fall became a starting point for his general theory of relativity. The thought experiment on Einstein Online

What interests us is that change in perspective. Imagining something. Questioning what seems obvious. Seeing a connection and following it. Would an AI working with the knowledge available at the time have come up with that idea? That’s an open question.

We want people to keep asking questions like that. To learn, observe, try something and work things out for themselves. That matters as much on the shop floor as it does in research. It might be a scientific connection or a better way to make a part. A familiar job that makes someone stop and ask, “Hang on, why do we do it this way?”