We want to use AI but do not know where to start
Sound familiar?
- You know AI can do something, but not where to start
- Experiments run into the sand without a clear problem
- Repeated enquiries could perhaps be handled more cleverly
What this is about
Everyone asks what you are doing about AI
Using AI means letting a model take a step that today needs a person to read, sort or phrase something. The board asks, customers ask, and there is no single right place to begin. The hard part is rarely the model, but choosing the one task where the gain can be measured.
- Why pilots stall
Pilots rarely stall on the model. The ones we have seen stall did so because the data was not ready, because the pilot never made it into a real workflow, and because nobody had agreed in advance what success would look like.
- What the waiting costs
You tie up budget and time in broad projects that never reach anything people notice in their working day. Meanwhile the same enquiries are answered by hand, week after week.
- When the answer is something else
Messy data has to be tidied up before a model can use it, and that is not a pilot. A task with fixed rules is handled by ordinary automation, both more cheaply and more reliably than by a model.
A pilot is neither an AI strategy nor a system you have to adopt. It is one question answered on your own data, and an honest answer if AI is not the right tool here.
Only build what nobody sells
What makes you hard to copy, we build. The rest we have built before.
The safe route
How we start, without you committing to anything big
- Step 1
Clarification meeting
A short conversation about where there is most to gain, and what it is worth. Free and without obligation.
- Step 2
Digital pre-project
We find one small, narrow place in your own data where AI can help concretely. You get a concrete recommendation with numbers behind it, and if it does not pay off, we say so. A fixed price that is offset against the first stage if you build on within 90 days.
- Step 3
Development in stages
We build in stages at a fixed price and take whatever pays for itself fastest first. After that, operation and support from the people who know the solution.
You can stop after each step without the effort being wasted.
What the solution usually consists of
We decide exactly what is needed together
Exactly what it takes, we work out together in the pre-project. A challenge like this one we usually solve with one or more of these approaches.
- Digital advice Strategic use of technology and support for your processes, so you get overview, control and better insight into your own data. It is part of most projects.
- AI solutions Letting AI take repeated enquiries or find answers in your own documents, proven on a small scale first.
Ready to talk to us?
Contact usA concrete example
What we would do here
A pilot on your data. We do not have a public AI case to point to, and we say so honestly. That is why we start with one small pilot on your own data and prove the gain before you build widely.
Frequently asked questions
Do you have an AI case to show?
How do we find out where AI even makes sense for us?
What if the pilot shows AI is not the answer for us?
Is our data used to train foreign models?
What does it cost, and how do we get started?
How long before we feel an effect?
What if it does not work, can we stop along the way?
Do we own the code and our data afterwards?
You are a smaller agency, do you fit our size?
We work with many different challenges, and they hang together more often than you would think.
See all challengesDo you want to find your first AI step?
- A reply from one of us by the next business day.
- A no-obligation review of your situation.
- Clarity on which options are relevant to you.
- A concrete plan, if you choose to go ahead.
Thanks for the feedback.