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KI im Maklerbüro: Bedingungsprüfung in unter einer Minute

Im Pfefferminzia-Interview mit Chefredakteurin Karen Schmidt (10. August 2026) berichten Marc Mauracher, Geschäftsführer der HMR Versicherungsmakler in Köln, und Afori-Gründer Fabian Wesemann, wie KI-Agenten die Bedingungsprüfung im Maklerbüro übernehmen. Statt Warteschleifen beim Versicherer ordnet Afori jeder Police automatisch die passenden Bedingungen zu, führt den Tarifvergleich auf Basis der Versnavi-Datenbank mit rund 20.000 Bedingungswerken durch und liefert einen fertigen E-Mail-Entwurf mit Infografik zu den Deckungslücken des Altvertrags. Mauracher spart damit bis zu 40 Minuten pro Kundenfall und hat seine Abschlussquote verdreifacht, die gewonnene Zeit fließt direkt in Akquise und Kundenbeziehung. Wesemann erklärt, wie eingebaute Halluzinations-Checks und exakte Fundstellen in den Versicherungsbedingungen für Nachvollziehbarkeit sorgen, und wofür Afori als nächstes die 23 Millionen strukturierten Datenpunkte nutzt: die systematische Veredelung von Versicherungsbeständen.

Pfefferminzia reports on the partnership between Afori and Versnavi

Pfefferminzia: Afori integrates 20,000 policy terms from Versnavi

Afori and terms specialist Versnavi are entering into an exclusive partnership: Versnavi's database of more than 20,000 policy terms, maintained since 2000 and from which over 23 million data points are derived, is firmly integrated into the Afori platform. Brokers can thus check tariffs and covers directly in their email inbox: if a customer reports a claim, an AI agent checks whether the case is covered and refers to the appropriate clause in the policy terms. Founder Fabian Wesemann on the collaboration: "A reliable and neutral data basis does not of course appear overnight, it grows over years."

Handelsblatt uses the example of Afori to show how AI generates efficiency in the broker's office.

Handelsblatt: How AI in the broker's office frees up time for clients

Using the example of broker Steffen Strobel, Handelsblatt shows how Afori handles the blacking out of sensitive health data, risk pre-assessments for insurers and the evaluation of feedback in occupational disability insurance. His conclusion in the article: "This saves me a lot of time and allows me to focus on advising my clients." The article contextualises how AI will transition from an experiment to a working tool in financial advisory services by 2026, and where the technology reaches its limits.

The Versicherungsbote writes about Afori, the AI platform for insurance brokers.

Why Big Tech won't become insurers – but will change advice

In Versicherungsbote, Afori founder Fabian Wesemann explains why Google, Amazon, Meta, and AI tools like ChatGPT, Claude, or Gemini will not become insurers themselves u2013 the industry's regulatory requirements are too high. Their actual impact lies elsewhere: customers enter conversations better informed and with more specific questions. Wesemann's thesis: brokers need their own specialized and regulatory-compliant AI u2013 and humans are not replaced in advisory services, but become more important.

Fabian Wesemann presents Afori, the AI platform for insurance brokers, on the Versicherungsbote podcast.

Fabian Wesemann on Versicherungsfunk about the broker of the future

In the podcast „Versicherungsfunk" Afori founder Fabian Wesemann speaks with Marko Petersohn about the broker office in 2031. His thesis: AI agents take over inboxes, claims notifications and consultation preparation – but instead of replacing people, they make them more important. Because in 2031, it is not the most digital broker who wins, but the most personal one.

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In a personal conversation, we will show you how Afori simplifies your daily work and automates processes.

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