XBP Global CEO Andrej Jonovic outlines agentic AI workflow strategy
Andrej Jonovic, chief executive of XBP Global, explains how the firm applies agentic AI to regulated sectors such as healthcare, public services and financial institutions. He stresses that precision, security, data sovereignty and auditability must be built into the workflow architecture, and that the operating model, not just model performance, determines success.
Key points
- XBP Global targets $65 million to $75 million in annual operational efficiencies from AI automation
- Revenue per employee grew to roughly $89,000 in the second quarter, up from $82,000
- Adjusted gross margin reached 24.9% in the second quarter and a 20% headcount cut is forecast by end‑2026
Jonovic describes adaptive process orchestration that blends deterministic rules with intelligent models, allowing agents to coordinate tasks and be swapped for stronger open‑weight models without rebuilding the whole pipeline. He cites a recent airline‑fleet maintenance project where each maintenance item is vectorized and stored in a private vector database inside the client’s cloud, with the agentic layer managing access.
Internally, XBP Global expects its AI‑first automation to generate $65 million to $75 million in annualized operational efficiencies, with $35 million of benefit projected for 2026. Revenue per employee rose to roughly $89,000 in the second quarter, up from about $82,000 the prior quarter, and the company aims for $100,000 by year‑end. Adjusted gross margin hit 24.9% in the second quarter, and a roughly 20% reduction in global headcount is projected by the end of 2026.
Andrej Jonovic, CEO of XBP Global
Unite.AI · 21 October 2026
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