Organizations that control AI use cases today will be better positioned to manage AI risks tomorrow.
Yet more than 50% of companies still implement new AI use cases without clear guardrails. As AI adoption accelerates, establishing a structured AI use case authorization framework becomes essential.
In our latest briefing, Andrea Belényi and Endre Várady outline:
- the key AI governance process
- clear ownership and responsibilities
- the AI lifecycle approach to risk management
- common AI risks and use case–specific challenges
Read the carousel that summarizes the key elements of a practical AI use case authorization framework here.
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