Oracle Agentic AI - AI Agents Across Oracle Fusion, OCI.
Most Oracle AI deployments fail at the governance layer - not the technology layer. AI agents deployed without role-based permissions, human confirmation gates, and audit trails create risk, not productivity. Every Oracle AI deployment Simalaya delivers is governed from the start.
Overview
Simalaya deploys Oracle AI agents in production for enterprise clients across Europe and the Middle East. Our AI capability is Oracle-specific, governance-first, and already operating inside live client environments.
Oracle has embedded AI agent capability natively into Fusion Cloud ERP, HCM, and SCM through Oracle Fusion Agentic Applications, announced at the Oracle AI World Tour on 24 March 2026. In parallel, Oracle Cloud Infrastructure (OCI) provides the enterprise-grade platform for deploying custom AI agents that go beyond what the native Fusion layer provides. Simalaya implements Oracle AI across two layers: native Fusion Agentic Applications, configured and governed as part of standard Fusion Cloud engagements; and custom Oracle AI agents built on OCI using the OCI AI Agent Platform, Oracle Generative AI Agents, and Oracle AI Agent Studio.
Simalaya is a Seed4Equity portfolio company. Seed4Equity also owns Artifact (artifact.swiss), a Lausanne-based AI data science and analytics company. Simalaya is the Oracle professional services firm in the Seed4Equity portfolio. Artifact is the pure AI firm. For Oracle AI deployments requiring advanced data science, AI model development, or analytics capability beyond Oracle’s native tools, Simalaya can facilitate engagement with Artifact through the shared Seed4Equity portfolio relationship.
Oracle Fusion Agentic Applications
Oracle Fusion Agentic Applications is Oracle’s next-generation suite of AI agent applications announced 24 March 2026 - embedded directly across Oracle Fusion Cloud ERP, HCM, and SCM. These are autonomous agents capable of executing complete end-to-end business processes with defined human confirmation gates and full audit trail. They operate within the Oracle Fusion data model, respect existing Oracle security configurations, and are managed through standard Oracle administrative tools.
Finance Agentic Applications
Autonomous AP agent: end-to-end invoice processing from receipt through payment. Financial close agent: reconciliation, journal validation, and close task orchestration. Expense agent: policy validation, approval routing, and exception resolution.
HCM Agentic Applications
Talent acquisition agent: candidate screening through offer management. Onboarding agent: document collection, provisioning, and task orchestration. Workforce planning agent: headcount modelling and scenario analysis.
SCM Agentic Applications
Procurement agent: requisition creation through supplier selection and order management. Inventory agent: reorder management, safety stock optimisation, and exception handling. Supplier collaboration agent: performance monitoring, exception alerting, and communication.
Oracle Generative AI Features in Fusion Cloud
HCM - Job Description Generator
AI-generated job descriptions from role parameters and organisational context.
HCM - Candidate Summary
AI-generated candidate assessments from application data within Oracle Recruiting.
ERP - Financial Narrative
AI-generated commentary and variance explanations for management reporting.
ERP - Contract Analysis
AI-assisted contract term extraction and obligation summary within Oracle Procurement.
SCM - Supplier Intelligence
AI-generated supplier risk summaries and performance narrative.
Oracle AI Agent Studio
Oracle AI Agent Studio is the development and orchestration environment for building and managing AI agents within Oracle Fusion Cloud. It is available at no additional cost to Oracle Fusion Applications customers and partners.
Custom Oracle data agents
Agents that query and reason across large, complex Oracle data sets that exceed the scope of native Fusion AI features.
Multi-entity Oracle agents
AI agents that operate across multiple Oracle instances or legal entities.
Custom approval and workflow agents
Bespoke AI-driven approval chains built around complex organisational hierarchies.
Oracle document intelligence
AI agents that process Oracle-associated documents using OCI Document AI alongside Oracle transaction data.
Custom Oracle analytics agents
AI agents that combine Oracle Fusion data with OCI data platform capability for analytics use cases beyond OAC’s standard feature set.
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Enterprise-grade deployment
AI agents deployed on Oracle-managed infrastructure with the same security, compliance, and SLA standards as your Oracle Fusion environment. -
Data residency
OCI data centres in the UAE, Saudi Arabia, and the EU - critical for regulated industries and government organisations with data sovereignty and GDPR requirements. -
Scalability
Agent infrastructure that scales with demand - from departmental pilots to enterprise-wide deployment. -
Native Integration
Native connectivity to Oracle Fusion Cloud, Oracle Database, and Oracle services.
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Oracle policy and procedure agents
Agents that answer employee queries against HR policies, finance procedures, and Oracle documentation. -
Oracle reporting agents
Natural language query against Oracle Fusion data - business users get answers without building reports. -
Oracle project knowledge agents
Agents that surface project history, lessons learned, and programme documentation from Oracle Primavera. -
Oracle compliance agents
Agents that reference regulatory frameworks, audit requirements, and Oracle configuration documentation.
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Oracle AI Agent Studio is the visual development environment within OCI for building and managing AI agents. It provides a low-code interface for configuring agent behaviour, defining tool connections, setting knowledge base parameters, and establishing governance rules - making Oracle AI agent development accessible to Oracle functional teams who understand the business process.
Simalaya uses Oracle AI Agent Studio to build custom Oracle AI agents configured around your organisation’s specific Oracle processes. Governance rules, approval thresholds, and audit parameters are built into the agent at configuration stage, not added as an afterthought. Oracle Digital Assistant is then deployed as the conversational interface through which employees access these agents.
Oracle AI Database
Oracle AI Database (Oracle Database 23ai) is Oracle’s converged database platform with native AI vector search, in-database machine learning, and Generative AI capabilities built directly into Oracle Database. For enterprise organisations running Oracle Database on OCI or on-premise, Oracle AI Database removes the need to export data to external AI platforms - AI processing happens inside the database, within existing security perimeters and governance frameworks.
AI Vector Search
Semantic search across Oracle Database content without external vector stores - Oracle data stays inside Oracle.
In-database ML
Machine learning model training and inference inside Oracle Database - no data movement to external ML platforms.
Select AI
Natural language SQL generation within Oracle Database - business users query Oracle data in plain language without SQL expertise.
RAG inside Oracle
Retrieval-Augmented Generation pipelines operating on Oracle data within the database security boundary.
Delivery Approach
Enterprise AI Architecture Assessment
Assessment of your Oracle environment, existing Fusion configuration, OCI footprint, and AI readiness. Identification of high-value AI use cases. Governance framework design. Deliverable: Oracle AI Deployment Blueprint.
Discovery
Detailed requirements for priority AI use cases. Role mapping, permission design, approval chain definition, and audit trail specification. Human confirmation gate design.
Design
Agent architecture design, OCI infrastructure specification (where applicable), Oracle AI Agent Studio configuration design, and Generative AI knowledge base structure.
Build and Configure
Agent build using Oracle native tools or OCI AI Agent Platform and Oracle AI Agent Studio. Integration with Fusion configuration. Governance controls embedded at build stage.
Test
AI agent testing across defined use cases. Governance validation - role-based permissions, confirmation gates, and audit trail verification. User acceptance testing.
Deploy and Operate
Agent deployment to production. Hypercare period. Transition to ongoing managed services if required. Performance monitoring and optimisation.
Frequently Asked Questions
Do we need OCI to deploy Oracle AI agents?
Native Oracle Fusion AI agents and Fusion Agentic Applications do not require a separate OCI environment - they operate within your existing Fusion Cloud tenancy. Custom Oracle AI agents built using OCI AI Agent Platform and Oracle AI Agent Studio require OCI provisioning. Simalaya’s Oracle AI Architecture Assessment determines which deployment model is appropriate.
What is Oracle Fusion Agentic Applications?
Oracle Fusion Agentic Applications (announced 24 March 2026) are Oracle’s purpose-built autonomous agent applications embedded across Fusion Cloud ERP, HCM, and SCM. They execute complete end-to-end business processes autonomously, with human confirmation gates and full audit trail, within the Oracle Fusion data model and security configuration.
What is Oracle AI Agent Studio?
Oracle AI Agent Studio is the visual development environment within OCI for building and managing AI agents. It provides a low-code interface for configuring agent behaviour, defining tool connections, setting knowledge base parameters, and establishing governance rules. Simalaya trains Oracle functional teams on Agent Studio as part of deployment engagements.
What is Oracle AI Database?
Oracle AI Database (Oracle Database 23ai) is Oracle’s converged database platform with native AI vector search, in-database ML, Select AI for natural language SQL, and RAG capability inside the Oracle Database security boundary.
Can Oracle AI Agent Studio be used by Oracle functional teams?
Yes. Oracle AI Agent Studio provides a low-code visual environment that Oracle functional consultants and business analysts can use to configure and manage agents without requiring deep technical development expertise. Simalaya trains Oracle functional teams on Agent Studio as part of deployment engagements.
What does governance-first Oracle AI deployment mean?
Three things. First, every AI agent is deployed with role-based permissions that mirror your existing Oracle security model. Second, every AI agent that initiates a transaction or approval has a human confirmation gate. Third, every AI agent produces a complete audit trail. Governance is the first design decision, not an afterthought.
Does Oracle Agentic AI support Arabic?
Yes. Oracle Digital Assistant, Oracle Generative AI Agents, and Oracle Fusion Agentic Applications support Arabic language processing. This is a specific capability requirement for GCC deployments and is included in Simalaya’s Oracle AI assessment scope.
What is Artifact and how does it relate to Simalaya?
Artifact (artifact.swiss) is a Lausanne-based AI data science and analytics company, also a Seed4Equity portfolio company. Simalaya is the Oracle professional services firm in the Seed4Equity portfolio. Artifact is the pure AI firm. For Oracle AI deployments requiring advanced data science or AI model development beyond Oracle’s native tools, Simalaya can facilitate engagement with Artifact through the shared Seed4Equity portfolio relationship.