Date: 24.11.2025 (2025-11-24)
Heinz Meier (24.11.2025) • https://www.linkedin.com/in/heinzmeier/ • CFO at Die Careum Stiftung versteht sich als Organisation, die den Dialog zwischen den Akteuren im Gesundheitswesen fördert (120 ppl) • Also Dozent and in real estate on the side • Zurich • Via Teams • Per Du
Notes:
• Notes:
• Where they use it: relatively little
• They have some automations
• AP inflow: digitalisation of invoice
• Kontierung:
• Zahlungsprozess:
• ERP: Abacus -> they use AI by them
• Erkennen von Lieferant, Zahlungsverbindung etc. 99% accuracy
• Erstellen von Suppliers
• Kontierung schwach
• Standardkontierung hinter Supplier
• Kostenstellen auch nicht wkl
• They are not really beta testers -> they wait until Abacus features work
• Bigger topic: workflow itself -> Abacus approach is the wrong one -> always a human to start the process -> external employee checks inbox and Veratbeitung 1h per day to assign invoices to different workflows (also sanity checks correction)
• E.g. Kontierung is missing
• Pure AI is used barely (e.g. ChatGPT)
• CoPilot: Sitzungsprotokolle within Teams
• Then person finalised it
• ChatGPT: Textsuche -> Brief oder Email Antwort schreiben
• E.g. KnowHow suchen
• E.g. Mehrwertsteuergesetz -> faster than original search
• Team:
• 80% 1 FTE and he a bit
• 250 people in total
• They have a Verlag
• They developed a Lern-Coach für Lernende basierend auf Lerndaten -> Avatar you can talk to (and write) - even recognises sentiment (happy vs. stressed) -> adapts the learning process to that -> you can ask what can be found somewhere -> multiple choice Aufgaben incl. solutions etc.
• Works well but limited to learning
• They do not have enough people to do it internally -> he wants to buy it from external
• He wants to have a GPT to upload your PDFs and then it works
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• Automation:
• Real estate:
• Störungsmeldungen die automatisch weitergeleitet werden
• Zugangskontrollen: welche Türen wie lange offen etc.
• Verband: Swiss Accounting -> tackle them
• Revisionsgesellschaft they also hear that they think about AI
• They all want to build internal GPTs
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• Biggest objections / challenges in his daily life?
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• Most valuable flows for him?
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• Context: team setup? internal and external?
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• Which tasks are the biggest pain? With magic wand -> what would he solve?
• Firmeninterner ChatGPT
• Add all documents Unterschriftsreglement, Spesen, etc.
• Beispiel: Welche Feiertage, was ist Reglement
• Always most updated regulations
• Datenumwandlung von PDF in Excel
• ChatGPT is already good
• Automatic prep of input fields for Abacus
• Reporting & analysis area
• These topics take a lot of time -> much potential
• Search for Belge -> root cause analysis
• Anomaly detection -> suddenly high invoice
• Forecasting
• Not that much potential for them
• Kosten sind auch relevant (800 CHF per month for ChatGPT is much)
• Use does not represent the 800 CHF
• A lot of tools pop up and then diminish again
• They want to wait and then take one that is mature
• Main value in reporting
• Budgeting -> a lot of data comes from a system and then a lot of formulas in Excel -> a lot of manual work and error prone (creation of visuals) - then creation of reports
• Excel: the size of data that can be managed is small -> quickly very complex
• MSFT PowerBI tool is already there
• Challenge get data in one place and connect it
• Review Excel: is there a cell in which there is a number instead of a formula
• Plausibilitätscheck and improve data quality; simple statistics
• Sometimes he needs to take a statistics book to understand
• Copilot is more annoying than it helps
• Tools they use:
• Abacus ERP
• ERP for departments -> Verlag mit Verlagslösung (Fiatos)
• Shop where students can order Lehrmittel
• CRM relevant data in there
• Schulverwaltungssystem / ERP -> verschiedene Marken
• Orders of students etc.
• Important for analysis and forecasting
• Number of students etc.
• They have a CRM: MSFT Dynamics -> goal to have all data there but does not work well yet: different format and data privacy
• Umfragetools: employee surveys (iCommit common in CH)
• Evlautationstool of teachers and infrastructure
• HR: Fluktuationsraten, Bestand etc.
• How do they get data:
• Either Excel templates or standard exports that he transforms into data format -> he does it manually or ChatGPT (saves a bit of time but not really good - some mistakes - he has to check)
• 3 people in finance and HR; assistant from CEO
• Pitch him cursor for FP&A - ask for example data
• Which tasks would he focus on?
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• Do they already have automations? Which ones? How well do they work?
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• Which companies would he target?
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• General feedback to pitch?
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