OpenAI has made its Decisions API generally available for bounded choices such as classification, routing and action selection. The company positions the service as a way to obtain structured decisions with defined options rather than free-form text. OpenAI claims it can be up to ten times faster than using the Responses API for comparable tasks; that benchmark is a vendor claim and will vary by workload.

For regulated workflows, the architectural separation is noteworthy. A system can use generative models for context and drafting while reserving a narrower, policy-constrained component for the point at which an action is selected. That does not make the decision safe by default. Enterprises still need calibrated thresholds, fallback rules, human approval where required, monitoring for drift and an audit trail that connects the available options to the chosen outcome.


AI for Leaders: Governance, Risk & Why Strategy Must Come First
Is your organisation adopting AI without a defined strategy or governance? If so, you're not alone — and the consequences range from data breaches to reputational damage to safeguarding failures. AI is a strategic risk, not a silver bullet, and definitely not a magic data fairy. Without clear ownership, rules, and accountability, AI can proliferate across your organisation in ways that cost more — in time, money, and trust — than not using it at all. Speakers: Craig Clark, Director at Clark & Company Information Governance Services, and Stewart Tinson, Project Director, AI-360. You'll learn: Why "understand your why" must precede any AI rollout Which risks senior leaders most commonly overlook — from data leakage to safeguarding How to measure AI value through outcomes, not adoption metrics Why accountability for AI governance sits with the C-suite, not IT or compliance Key topics: AI strategy • Risk appetite • Data protection • Bias & fairness • Safeguarding • AI literacy • Governance models • Return on investment • Executive accountability • AI use case tiering For CISOs, CIOs, and senior leaders who need to govern AI responsibly — before it governs them.
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