OpenAI and Oracle plan to bring business applications and governed data into ChatGPT

OpenAI and Oracle are expanding their partnership to connect Oracle business applications and data with ChatGPT, while using OpenAI models and products in new Oracle offerings. The companies describe an environment in which people and agents can work across enterprise applications with unified sign-on and access governed by an organisation’s existing permissions and approvals.

Oracle reports 130,000 active ChatGPT users and more than 95,000 active Codex users. OpenAI also cites an Oracle recruiting workflow in which market research that previously took two to four days can be prepared in 15 to 20 minutes. These are company-reported adoption and productivity figures, not independent benchmarks. They nevertheless show the intended direction: AI moving from a separate assistant into the systems where operational work and business records already live.

That integration raises the stakes for identity, context and audit. An agent able to read an ERP record, prepare an update and invoke a workflow needs more than a login. Organisations must define which data can cross application boundaries, how inherited permissions are interpreted and when a human must approve an action. Buyers should look for transaction-level logs, role-aware context, revocation and a clear distinction between suggestions, drafts and committed changes.

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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