Applied AI
Identifying where AI can genuinely add value and integrating it into your business processes.
- Built on your own data and documents
- Tested on real cases
- Human validation where needed
Sound familiar?
- Your team spends a lot of time on repetitive work or on processing large amounts of documents.
- The risk of error grows, especially under pressure.
- AI keeps coming up in discussions, but no one is quite sure where to start.
- You worry about a generic tool that does not fit your rules, or a project so broad it delivers nothing usable.
What I bring
- A starting point in your actual work, not in the technology.
- A clear split between what can be tested quickly and what needs deeper integration.
- A solution built on your documents, assessed by the people who know the work best.
- A clear line between the model's reasoning and business calculations that stay verifiable and reproducible.
How I work
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Identify the tasks
With your team, I identify the tasks that take time and remain prone to error.
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Sort the uses
I separate what can be tested quickly from what needs integration with your systems.
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Build on your documents
I build the solution around your own documents, not generic examples.
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Test and document
I test against cases with a known outcome and document what has been validated and what has not yet.
What is validated, and what is not yet
AI implementation at a roofing company
For a company in the construction sector, I supported the implementation of an AI-assisted solution for three repetitive steps in the pricing and sales process. The project started with a day on site to identify the most relevant cases and gather the company's actual documents. The solution was then tested against dozens of historical files, with a clear document showing what had been demonstrated and what had not yet been demonstrated.
AI is probably not the answer to all your problems.
And that is exactly what needs to be worked out. Describe one concrete process: in a few minutes, the Process Scan shows whether you should rather simplify → automate → augment with AI or simply change nothing for now.
5 minutes · Free · No commitment
In detail
Context
Your team spends a lot of time on repetitive work or on processing large amounts of documents and information, with a risk of errors, especially under pressure. AI keeps coming up in your discussions, but no one is quite sure where to start or what is genuinely possible with your current documents and processes. The risk is choosing a generic tool that does not fit the rules of your business, or aiming too broadly and ending up with nothing genuinely usable.
My role
I start from your actual work, not from the technology. Together with your team, I identify the tasks that take time and remain prone to error. I distinguish between uses that can be tested quickly and those that require deeper integration with your other systems or existing processes.
I then build the solution around your own documents, not generic examples. The result is adapted to your reality and can be assessed by the people who know this work best.
I test the result against cases where the outcome is already known, to check whether the solution reaches the same conclusion as a person would. I clearly document what has been validated and what has not yet been validated.
My business analysis background helps me determine where a human needs to remain in the loop when the result has consequences for your organisation, and distinguish the reasoning produced by the model from conventional business calculations that are verifiable and reproducible.
Are you wondering what AI could genuinely bring to your team?
Describe the work involved: I will start from your reality, not from a list of features.