What will Copilot show if it is switched on tomorrow, and how orderly is the data it works from?
Most AI projects fail not on the model but on the data: duplicate master data, ownerless folders, a payroll list anyone can open on the shared drive. If this comes to light after the rollout, the IT leader is held to account. In four weeks we assess what is still holding back your AI rollout, then put permissions and the document store in order in fixed packages, and appoint data owners.
Assessment in 4 weeks · results in numbers · clean-up in fixed packages
We hear these sentences from IT, infrastructure and data leaders.
“I don’t know how much content is shared too widely, and that is a security issue.”
CIO, large enterprise
“We don’t know who has access to what, and it comes up in a security finding.”
Head of infrastructure and databases, large enterprise
“I can check them one by one, but I can’t give the overall picture.”
CIO, large enterprise
“I’m responsible for data I have no authority over.”
Head of data, large enterprise
“I don’t want to be the one holding things back, or the one explaining myself to the CEO.”
CIO, large enterprise
“It shouldn’t be my opinion, but a number I can put in front of the CIO.”
Head of data, large enterprise
Our expert will tell you whether it fits your situation.
Management decides on the licence; IT answers for the consequences. If the assistant gives a wrong answer, or shows someone data they should not see, the CFO asks what the company got for the licence, and the CEO asks who allowed it. That is why the assessment is best done before or alongside the licence decision: it shows in numbers where the company stands.
60%
of AI projects without AI-ready data will be abandoned by companies by the end of 2026. 63% of organisations either lack the right data management practices or are not sure whether they have them.
In four weeks we assess the situation with tools and interviews. We only need read access to the systems.
The AI readiness report gives a score for each area and proposes an order.
Based on the report, the responsible leader decides package by package what we fix.
Package by package, in 4-12 weeks, we put permissions and the document store in order, and introduce the data owner model.
A report alone does not make anyone’s responsibility smaller. That is why, after the assessment, the same team puts the data in order: the shared drives and, if needed, the ERP master data too.
First you get the report, then comes the clean-up, which you decide on package by package.
Who it is for: the CIO, the head of data and the head of IT, and the CFO who pays for the AI licence but cannot see its return.
Read access to the systems, and a responsible leader on your side.
The assessment takes 4 weeks, and the clean-up 4-12 weeks per package. The price depends on the size of the environment and the packages chosen.
Our assessment that maps the company’s data, our experience in document and process management, and our GDPR expertise.
It does not introduce AI; that is what the Corporate Knowledge Assistant is for. For a complete clean-up and maintenance of master data, see Master Data Management; for company-wide rules on responsibility and decisions, see Data Governance. It does not replace a cybersecurity audit.
What we did not cover on this page: the steps from a small first step to the complete solution, why it pays to go this way, and how we work along the way. Feel free to forward it to your colleagues.
In 2-4 weeks, the Situation Assessment shows where most time goes on manual work and how many hours a week that adds up to. It costs HUF 199,000 + VAT, which we deduct from the price of your first development. If we do not find at least 20 hours a week of replaceable manual work, we refund the fee.
For the assessment we only need read access and a responsible leader on your side. We do the clean-up in fixed packages, so your team does not have to deal with it alongside their daily work.
An AI readiness report with a score for each area: drives shared too widely, the share of master data duplicates, ownerless data domains, a data owner matrix and a proposed order.
No, we look at the ERP master data as well.
No. Based on the report, you decide package by package what we fix and in what order.
The assessment and the clean-up packages are priced separately, and both depend on the size of the environment. We give you an exact quote after a conversation with one of our experts.
An AI assistant that answers from the cleaned-up data and gives the source.
If the report shows that duplicate master data is the biggest problem.
If you also need executive reports from the cleaned-up data.
Untidy data, opaque permissions, data protection risks: this is what we write about.
Read how you can measure how AI-ready your company’s data is, or subscribe to the Signal over Hype newsletter.
Describe the situation in a sentence or two, and an expert in the field will get in touch with you.
Or call: +36 30 235 0100
