16 June 2026

What is sovereign AI: definition and how to achieve it

"Sovereign AI" risks meaning everything and nothing. For an organisation, however, it has a specific meaning: knowing what happens to its data, models and decision-making processes, and maintaining control over time. Here is the operational definition, and the tools to achieve it.

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6 May 2026

Cybersecurity Compliance AI Platform for Exacorp

Exacorp needed both a production-ready SaaS platform and the AI layer to power it. Rational AI delivered both: a multi-role web application for organizations, suppliers, and the Exacorp admin team — and an AI integration based on Rational Knowledge and Rational Core that reduced supplier cybersecurity maturity assessments from days to minutes, across NIS2, ISO 27001, DORA, and NIST CSF frameworks.

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4 May 2026

Save the date: Netcomm Forum 2026 “Value Commerce – The New Era of Digital & Omnichannel Experience”

Netcomm Forum 2026 returns on 6–7 May in Milan, Allianz MiCo, themed around AI-driven value commerce and omnichannel transformation. Key highlights include the Netcomm AI Theatre, the Talent Village, and the new Netcomm Award - Consumers' Choice. Rational AI will be at stand ST20 in the startup area to present the platform and its approach to sovereign AI and trustworthy AI for enterprise organisations.

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12 April 2026

AI Pilot Purgatory

AI is probably the first technology in history that, at the moment of use, systematically asks you to doubt it. That organizational paradox — deploying a tool that warns you not to trust it — maps directly onto why most AI projects stall before they ever reach production.

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8 April 2026

AI Is Much More Than a Chatbot

When organizations first approach AI, the conversation almost always stays within the boundaries of what they have experienced with ChatGPT. The fog lifts only when they encounter what AI can actually do beyond generating text — and realize the distance between a chatbot and a trained operational model.

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30 March 2026

The AI had already warned you

Artificial intelligence is probably the first technology in history that, at the very moment it is being used, explicitly communicates its own limitations. Yet organizations are deploying AI systems on critical processes as if that warning applied to someone else. The damage is already documented, the regulatory deadline is fixed, and the gap between AI adoption and AI governance is widening.

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