Integration Partner Community Newsletter June 2026

Agentic AI is a great opportunity to drive innovation for the Oracle Integration customer base. To understand the use-cases we provide an overview of industry adoption patterns and department adoption patterns. For more information please register for our June 18th product update webcast.

Agentic AI Industry Adoption Patterns:

Organizations across industries such as Finance, Manufacturing, Logistics, Healthcare, and Retail are adopting Agentic AI to automate decisions, improve operational efficiency, and enhance customer experiences. The strongest use cases focus on monitoring, document processing, workflow automation, and intelligent decision support.

Agentic AI Department Adoption Patterns

Departments including Finance, HR, Procurement, IT, Supply Chain, and Customer Service use Agentic AI to automate repetitive tasks, accelerate workflows, and improve productivity. Oracle Integration provides the governance, connectivity, and orchestration needed to safely connect AI agents to enterprise systems and business processes.

Key takeaway: Industry adoption focuses on solving sector-specific business challenges, while department adoption targets functional processes that exist across nearly every organization. Together, they provide a practical roadmap for scaling Agentic AI from individual use cases to enterprise-wide transformation. Join our June 18th webcast to learn more about Oracle Integration Agentic AI product features.

Thanks to the community for sharing all the integration articles:  How Equinix is Redefining Enterprise Integrations with Agentic AI in Oracle Integration Cloud & Unlocking HCM at Scale – Marriott’s Workforce Modernization Journey & Accelerating Enterprise Automation using Agentic AI in Oracle Integration & Powering the Employee Onboarding Experience with OIC AI Agent and Knowledge Base & ReAct vs Plan & Execute: Choosing the Right Agent Thinking Pattern in Oracle Integration & Bringing OCI Generative AI Models to Oracle Integration Agentic AI & Process X12 HIPAA 837 Claim Files – Schema Preparation & Processing Comma-Separated Lookup Values in Oracle Integration Cloud Using the Functions Library & OIC Dependency Insight   & OIC Knowledge Base: Giving Your AI Agents a Long-Term Memory

In this month’s community webcast Nathan Angstadt and myself will demonstrate how Oracle Integration connects and governs Agentic AI. We will highlight the sales resources including a customer presentation in ppt format, free trials for customer demos & PoCs and an innovation workshop. Please join the Partner Community Webcast on June 30th 2026. On-demand webcast recordings are available at the Oracle Video Hub.

To read the newsletter please visit https://bit.ly/paasnewsjune2026

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Store, connect & govern your enterprise data for your AI Agents – Oracle 23AI book by Asim Chowdhury

Oracle 23AI ADBS in Action is a definitive guide to the AI-native database, demonstrating how enterprise data can be transformed into an intelligent, conversational automation fabric. The book shows how Oracle 23AI elevates the data layer into a smart foundation for AI-driven business processes. Building on this core, Oracle Integration seamlessly connects Oracle 23AI with AI agents and automation workflows, enabling secure, event-driven orchestration while maintaining human oversight through approvals, policy enforcement, and auditable decision paths. Through hands-on QuickMart case studies, advanced capabilities—including vector search, JSON duality views, autonomous optimizations, and in-database machine learning—are translated into practical, real-world implementations. The result is an end-to-end, actionable blueprint for DBAs, developers, and data scientists to build high-performance, compliant, and truly intelligent data platforms on Oracle 23AI.

Oracle 23AI & ADBS in Action: Exploring New Features with Hands-On Case Studies

Unlock the power of Oracle Database 23AI and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs.

Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance.

Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking.

What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you’re optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S.

What You Will Learn

  • Explore Oracle 23AI’s latest features through real-world use cases
  • Implement AI/ML-driven optimizations for smarter, autonomous database performance
  • Gain hands-on experience with executable scripts and practical coding examples
  • Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables
  • Master high-performance techniques for query tuning, in-memory processing, and scalability
  • Revolutionize data access with AI-powered vector search in modern AI workloads
  • Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE
  • Model and query complex data using JSON-Relational Duality Views and SQL property graphs

Who this Book is For

Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

Get the book here. For additional integration books please visit the wiki here.