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Cobalt Check
Understand what’s ready.
Identify gaps, inconsistencies and blockers in the data behind a defined business or AI use case.
Data quality & readiness diagnostics
DATA QUALITY · AI READINESS
Better data.Clearer decisions.Confident next steps.
Turn scattered information into a foundation you can trust. Cobalt Logic helps you understand, structure and govern the data behind your next business or AI initiative.
Find your starting pointBringing logic to the everyday.
FROM INFORMATION TO ACTION
Documents
Product data
Knowledge
COBALT LOGICClarity by design
Fit-for-purpose data
Clear ownership
A practical next step
01 / OUR EXPERTISE
Make your data work for your business.
A focused question. A clear scope. Something useful to take forward. Our services connect the quality of your information to the decisions you need to make.
02
Cobalt Ready
Prepare for the next step.
Get documents, metadata and knowledge ready for a focused AI or retrieval workflow.
Use-case readiness
03
Cobalt Structure
Give information a shared logic.
Create practical taxonomies, product hierarchies and metadata models that teams and systems can use.
Taxonomy & information models
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Cobalt Govern
Make good data repeatable.
Clarify who owns the data, how decisions are made and what happens when an exception needs attention.
Ownership, rules & controls
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Cobalt Agents
Automate with a foundation.
Identify where AI-assisted data quality can help, with clear rules, human review and a well-defined scope.
Scoped automation opportunities
A GOOD PLACE TO START
Before the AI pilot, check the data.
The AI Data Readiness Diagnostic examines the information behind one defined use case. You get an evidence-based view of what is usable, what needs attention and where to act first.
- One use case and an agreed sample
- Remote review, without production access
- A prioritised 30 / 60 / 90-day action plan
YOUR DIAGNOSTIC
From uncertainty to a decision.
01
Readiness assessment
How your sample supports the use case.
02
Evidence & blockers
The findings behind the assessment.
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Prioritised actions
What to address now, next and later.
Scope and deliverables agreed before work begins.
02 / HOW WE WORK
A clear path through the complexity.
We begin with the business question and work towards a practical outcome. The scope stays focused, and the reasoning stays visible.
01
Understand
Define the question, the data and what a useful outcome looks like.
02
Structure
Make the information, relationships and quality requirements explicit.
03
Govern
Set ownership, decision rules and the right level of human review.
04
Move forward
Turn findings into prioritised actions your team can take.
03 / START A CONVERSATION
What would you like to make clearer?
Tell Steven about the data challenge or AI use case you have in mind. A short description is enough to begin.
Steven Van den BergheCobalt Logic+32 497 48 21 40