Services
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Customer AI Adoption & Enablement
Some organizations know exactly what they want to do with AI, while others are still figuring it out. The center supports both, helping teams move forward at a pace that matches their readiness and business context.
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Alignment with Existing Oracle Architecture
Before anything is introduced, the current Oracle landscape is taken into account. AI is shaped around how applications, data platforms, and integrations are already connected.
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Governance and Risk Alignment
Controls around access, risk, and compliance are not handled separately. They are built into how AI is introduced and used, keeping expectations clear from the start.
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Practical Use Case Shaping
Ideas often start broad and abstract. Through discussion and review, those ideas are narrowed into use cases that make sense inside real Oracle workflows.
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Hands-On Implementation Support
When teams begin putting AI into use, questions tend to surface quickly. The center provides hands-on help to work through integration details and operational concerns as they arise.
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Preparing Teams for Day-to-Day Ownership
Knowledge is shared so customers can manage, adjust, and extend AI usage without relying heavily on outside support.
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Ongoing Guidance as Usage Evolves
Over time, the center helps customers refine how AI is used as systems, data, and business needs change.
Use Cases
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01
Supporting AI Adoption Across Oracle Systems
Many organizations struggle with turning AI ideas into something usable. The centre helps customers apply AI within existing Oracle systems so adoption feels practical rather than experimental.
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02
Aligning AI with Enterprise Data Platforms
Data platforms often evolve faster than operating models. Guidance is provided to ensure AI usage stays aligned with how data is governed, accessed, and trusted across the enterprise.
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03
Embedding AI into Day-to-Day Operating Models
Instead of running AI as a side initiative, teams are supported in bringing it into normal operational workflows. This helps AI become part of how work gets done rather than something managed separately.
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04
Maintaining Governance as AI Usage Grows
As adoption expands, governance challenges tend to surface. The centre helps customers keep controls, access rules, and accountability consistent across systems and teams.
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05
Building Internal Capability and Confidence
Over time, reliance on external help should decrease. Customers are supported in developing the skills and clarity needed to manage AI independently within their Oracle environments.
Frequently Asked Questions?
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What does the Oracle AI Customer Excellence Centre actually do?
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How is this different from a typical AI project?
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Do customers need to be fully on Oracle Cloud Infrastructure?
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How does governance stay manageable as AI use increases?
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Can teams move at different speeds?
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What happens after early AI use cases are live?