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On October 21, 2026, XBP Global CEO Andrej Jonovic said in an interview that enterprise AI deployment should be evaluated with an operating model-first approach. In the interview, he said the company is applying agentic AI in regulated environments such as healthcare, the public sector, and financial services, using adaptive process orchestration, retaining deterministic rules engines in areas that require precision and compliance, and introducing replaceable enterprise-grade open-weight models. Citing a global airline fleet maintenance lifecycle project as an example, he explained that maintenance records are vectorized and stored in a private vector database within the customer's private cloud, with high-risk decisions adjudicated by domain experts and the adjudication results fed back into the system. This view is currently presented by a single interview source, and there are no subsequent factual developments.
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Interview with XBP Global CEO Andrej Jonovic: How Agentic AI Lands in Mission-Critical ProcessesDevelopments
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Oct 21
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Interview with XBP Global CEO Andrej Jonovic: How Agentic AI Lands in Mission-Critical Processes
In the interview, XBP Global CEO Andrej Jonovic said the company is applying agentic AI in regulated environments such as healthcare, the public sector, and financial services, using adaptive process orchestration, retaining deterministic rules engines where precision and compliance are required, and introducing replaceable enterprise-grade open-weight models. He cited a global airline fleet maintenance lifecycle project as an example, explaining that maintenance records are vectorized and stored in a private vector database within the customer's private cloud. High-risk decisions are adjudicated by domain experts, and the adjudication results flow back into the system.