Fixed-scope offers · 01/03
AI readiness assessment
Before you spend on models, find out which use cases pay off and whether your data can carry them. You get a ranked shortlist, a target architecture and a roadmap with cost ranges you can take to the board.
In short
From
€6,000net
- Duration
- 3 weeks
- Who leads it
- A senior data architect together with an AI engineer who has deployed models in production. You talk to the people who would build the solution.
What you get
- A map of your data sources with a quality and accessibility review.
- 3 to 5 use cases ranked by business value, feasibility and data readiness.
- A target architecture sketch that fits your constraints (on-premise, cloud, hybrid).
- + 2
Where this leads
Measured results from projects of this kind, at our clients.
Who it is for
01
Companies that want to start with AI but do not know which process to pick first.
02
Teams with several AI ideas and no common way to compare their value and risk.
03
Management that needs numbers, not a vision, before approving a budget.
What you get
01
A map of your data sources with a quality and accessibility review.
02
3 to 5 use cases ranked by business value, feasibility and data readiness.
03
A target architecture sketch that fits your constraints (on-premise, cloud, hybrid).
04
A roadmap with cost ranges and a recommendation: which pilot to run first, or why not yet.
05
A readout session for management, with the document they can forward internally.
How it runs
Step 01
Kick-off workshop
With the people who own the processes and the data. We agree goals, constraints and how losses are measured today.
Step 02
Data and systems review
Sources, access, quality and definitions. We look at the actual data, not only at the documentation.
Step 03
Use case assessment
Each candidate is scored on value, feasibility and data readiness, with the assumptions written down.
Step 04
Architecture and roadmap
What has to exist for the first use cases to work, in what order and at what cost range.
Step 05
Readout
A session with management and a document that explains the decision to people who were not in the room.
What can go wrong and how we handle it
- Access to data takes weeks.
- We list the data we need in the first days and agree the access path at the kick-off, including NDA and data processing terms.
- No business owner for a use case.
- We mark such cases explicitly; a use case without an owner does not get into the top of the ranking.
- The data turns out not to be ready.
- That is a valid result. You get a list of what to fix first, which is cheaper than finding out during a pilot.
What happens next
You own the results and are not obliged to continue with us. If you do, the pilot on your data starts from the top-ranked use case, and the assessment work is not repeated.
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Questions buyers ask
Do you need access to our production systems?
Read access to samples or exports is usually enough. Data can stay in your environment; we can work on your infrastructure under NDA and a data processing agreement.
Is the assessment worth it if we already know our use case?
Then skip it and go straight to the pilot on your data. The assessment pays off when there are several ideas or when nobody is sure the data is ready.
Who from our side needs to take part?
The owner of each process in scope, someone who knows the data and systems, and a sponsor from management for the readout. Usually a few hours each.
Let's talk about your project
Order the assessment
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.