We find where AI will give your business results you can verify, and where it won’t.
Assessment at a fixed price — credited toward your pilot.
Four processes are rated for impact, data readiness and risk. Answering routine customer questions becomes the pilot candidate, the purchasing forecast needs its data in order first, discount approvals stay under human control, and scheduled invoice sending needs no AI at all.
Findings in writing, before any scope is agreed
We start with your processes, data, business systems and the people who run them. A consultation and an assessment show where AI is worth the effort and where to begin. You get our findings in writing before we agree on any scope, and the same team then handles infrastructure, security and integration.
There are plenty of ideas, but it’s unclear which process will pay off first and what a mistake would cost.
Everyone works their own way, in public services, with no rules on data. The business sees no clear effect.
The demo impressed everyone, yet the solution never made it into daily work. You need to know why.
Tasks, emails and know-how are scattered across messengers and memory. You want AI to take some of the load now.
60 min
A conversation with our Head of AI for Business about your processes, systems and expectations. No product pitch.
1:1, number of sessions agreed with you
For owners and founders. We set up your own AI workspace, move your tasks and knowledge into it and get voice input working. The goal is to automate routine and bring order to both the business and your own thinking.
about 2–3 weeks
Structured interviews with the owner and key people, a process map, and a review of data, systems and security. We sort tasks into three categories and rank them by impact and risk. The fee is fixed and credited toward the pilot.
after the assessment
For companies planning AI across several processes. The roadmap is built on the assessment’s findings, so it either completes the assessment or follows straight after it.
We agree on goals, interviewees and access. We ask the owner to describe their vision briefly before we ask our own questions.
The owner has confirmed the goal and set aside time for key people.
We run structured interviews with the owner and key people. We build a process map and a map of what we know and what we don’t.
Every candidate process has an owner and an as-is description.
We look at where the data lives, how to reach it through standard channels, who has access and what must never go to external services.
It’s clear which data can be used and where the model will run.
We sort tasks into three categories (“AI handles it alone”, “Under human control”, “Not for AI”) and rank them by impact and risk.
The first process has a baseline metric and real examples to test against.
We present the written report and answer your team’s questions. Then we scope the pilot: size, timeline, metrics and a test question set.
You decide whether to run the pilot. “AI isn’t needed here” is a valid outcome too.
We agree on goals, interviewees and access. We ask the owner to describe their vision briefly before we ask our own questions.
The owner has confirmed the goal and set aside time for key people.
We run structured interviews with the owner and key people. We build a process map and a map of what we know and what we don’t.
Every candidate process has an owner and an as-is description.
We look at where the data lives, how to reach it through standard channels, who has access and what must never go to external services.
It’s clear which data can be used and where the model will run.
We sort tasks into three categories (“AI handles it alone”, “Under human control”, “Not for AI”) and rank them by impact and risk.
The first process has a baseline metric and real examples to test against.
We present the written report and answer your team’s questions. Then we scope the pilot: size, timeline, metrics and a test question set.
You decide whether to run the pilot. “AI isn’t needed here” is a valid outcome too.
You get the findings on paper before we discuss the next stage.
We mark gaps in data and processes as gaps. The report shows what has been verified and what still needs checking.
A process’s priority depends on what happens when AI gets it wrong. The costlier the mistake, the more human control we build in.
We fix the assessment price after the consultation and credit it toward the pilot. If you don’t need AI, you learn that in 2–3 weeks instead of after a year of experiments.
Findings, risks and recommendations in one document, delivered before any scope is agreed.
How work actually flows today and where knowledge or data is missing.
Every candidate task assigned to a category and rated by impact and risk.
Where data lives, how to reach it, and what may or may not be sent to external models.
Scope, timeline, metrics and a draft test question set for the first process.
If AI is needed in several processes, the assessment ends with a roadmap that sets the order of pilots and the condition for moving on to each next one.
In progress; no impact figures claimed.
No figures, because the effect differs for each owner.
This is one deal, not an average effect.
Tell us about your processes and systems. Within an hour we’ll name 2–3 candidates for AI and the next step.
Book a consultationThe consultation takes an hour and leaves you with 2–3 candidate processes and a next step. The assessment takes about 2–3 weeks and ends with a written report covering interviews, a process map, data and security, priorities and a pilot estimate.
The price is fixed, and we quote it after the consultation once we understand the scale. The fee is credited toward the pilot if you decide to continue. After the assessment we quote a fixed price for the pilot.
Then that is exactly the conclusion you get, with the reasons behind it. That’s a real result, because your budget doesn’t go into a pilot that had no chance.
The owner and a few key people are most involved, each through a structured interview. We fit the schedule around you and do the rest of the work ourselves.
Interviews, process descriptions and sample documents are usually enough. If we need to look at data, we work read-only or with an agreed copy.
For owners and founders who want to start with their own work. In 1:1 sessions we set up your AI workspace, tasks, knowledge and voice input. Afterwards it’s easier to judge whether the company needs an assessment.
No. A roadmap rests on the same facts as the assessment, meaning your processes, data, systems and risks. So we build it at the end of the assessment or as a separate stage right after it.
Send a message to our team to find out how we can help you
Andrii
Head of AI for Business
We reply within 1 business day
