What will you learn?
By the end of this session, you will be able to:
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Recognise what "good" AI use cases look like — illustrated with live examples from FWO, OVAM, Stad Brussel, MFWB, Vlaamse Ombudsdienst, and other cases we realised within the public sector.
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Understand the four factors that determine whether an AI project will succeed: people & buy-in, process quality, data & technology, and business value.
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Apply a prioritisation framework to cut through the noise and focus your energy where it counts.
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Walk away with a ready-to-use tool to score and rank your own organisation's AI ideas.
What we'll cover
The session is built around real implementations. We will look at concrete cases, how the issues behind these might be recognisable for your organisation and how generic building blocks were tailored to each case to solve the specific needs
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Categorisation and handling of tens of thousands of complaints and objections per year at the City of Brussels
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Recognising and anonimising sensitive information in public reports to align with the GDPR legislation, at OVAM — processing 40,000 pages/month
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Admissibility and authorisation checks to support the handling of incoming communication at the Vlaamse Ombudsdienst
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For each case, we will show via the prioritisation framework why these were such great cases with tangible impact, and what you could take away from it for your own context or organisation.
