AI in Oracle, Activated Across
Every Environment You Run
AI in Oracle delivered through agents, integrations, and OCI AI services across EBS, Fusion, and enterprise systems.
AI in Oracle, Activated Across
AI in Oracle
Years of Excellence
0
+
Certified Expertise
Trusted by Leading Enterprises Worldwide
Four Ways to Activate AI in Oracle
The right starting point depends on the Oracle environment already in place. Select the scenario that reflects the current estate.
01
Oracle EBS
SQL-based AI agents and OCI AI integration on the existing EBS environment. Production-live in 4 to 8 weeks.
02
Oracle Fusion
AI agents activated across Finance, HCM, SCM, and CX via Oracle AI Agent Studio.
03
Fragmented Landscape
Upgrade, migrate, and modernize first. Build the foundation before AI investment compounds.
Start Modernization for AI
04
OCI AI Services
Generative AI, document intelligence, vision, language, and anomaly detection across the enterprise data estate.
Explore OCI AI Services
AI in Oracle EBS Built into Existing Workflows
AI services for Oracle EBS run directly on the current environment, introducing SQL-based agents and OCI-powered intelligence without disrupting core systems.
SQL-Based AI Agents on Oracle EBS
Natural-language queries over EBS Finance, Procurement, and SCM. Role-governed from day one. First agent live in 4 to 8 weeks.
Outcome:Plain-language access to EBS data. No BI tool, no report queue, no IT ticket.
OCI AI Services on EBS Data
Forecasting, anomaly detection, and document intelligence connected to EBS through Oracle Integration Cloud.
Outcome:Intelligence layered on EBS without disturbing the system of record.
AI Agents in Oracle Fusion, Configured
for Real Workflows
Oracle AI for Fusion Applications ships with prebuilt agents across every module. AppsTek configures, connects, and operationalizes them across real workflows and approval chains.
Prebuilt AI Agents Across Fusion
Native agents for Finance, HCM, SCM, and CX, configured to enterprise workflows.
Outcome: Demo-to-daily-operation in weeks, not quarters.
Custom Agents via Oracle AI Agent Studio
Domain-specific agents for edge workflows. Multi-agent orchestration across Fusion modules.
Outcome: Coverage for the workflows prebuilt agents cannot reach.
Intelligent Orchestration with OIC
AI routing, error detection, and document processing carried through Oracle Integration Cloud.
Outcome: Intelligence applied in the gaps between systems.
Deploy Production-Ready AI Agents in Oracle Today
Oracle Agentic Applications span every major function within Oracle Fusion Applications. Filter by business area to explore the AI agents in Oracle Fusion relevant to each team.
AI Agents for Autonomous Finance Operations
Automate core finance workflows across payables, expenses, and collections with audit-ready execution, policy enforcement, and faster cycle times built into every transaction.
AP Agent
Expense Agent
Collections Agent
Ledger Agent
Profitability and Cost Management (PCM) Agent
Planning Agent
Payments Agent
AI Agents for Workforce Operations and Hiring Velocity
Reduce HR workload and accelerate talent acquisition through always-on agents that resolve employee queries, streamline processes, and move candidates through the pipeline faster.
Onboarding Agent
Payroll Agent
Compliance Agent
Benefits Agent
Talent Agent
Workforce Planning Agent
AI Agents for Resilient Supply Chain and Controlled Spend
Anticipate disruptions, optimise procurement decisions, and enforce policy across the supply chain with agents that act on real-time signals and operational data.
Sourcing Agent
PO Agent
Supplier Risk Agent
Inventory Agent
Demand Planning Agent
Receiving Agent
AI Agents for Revenue Execution and Service Efficiency
Equip sales and service teams with contextual intelligence, automated actions, and real-time visibility to improve conversion, response times, and customer outcomes.
Lead Qualification Agent
Renewal Agent
Support Agent
CPQ Agent
Churn Prediction Agent
Campaign Agent
Prioritize Agents for Deployment
Map agents to operational workflows and decision points
OCI AI Services Powering Enterprise Oracle Workloads
OCI AI services extend AI in Oracle beyond ERP systems, connecting enterprise data sources to generative AI, machine learning, and real-time intelligence.
OCI Generative AI
LLM-powered natural language, summarization, and content generation. Zero-data-retention endpoints.
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OCI Data Science
Managed ML platform with native access to Autonomous Database and OAC.
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OCI Language
Classification, NER, sentiment, translation across 23 languages. GDPR-aligned.
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OCI Vision AI
Defect detection, compliance verification, quality inspection, visual analytics.
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Oracle Digital Assistant
Conversational AI embedded across Fusion Applications.
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OCI Anomaly Detection
Real-time statistical anomalies across time-series streams.
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Autonomous Database
Self-driving infrastructure with native vector search for RAG.
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Oracle Analytics Cloud
Augmented analytics with built-in ML across Oracle and non-Oracle sources.
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Define the right path forward
Align systems to support AI in Oracle
Measured Outcomes Across
Oracle AI Deployments
Outcomes from AI in Oracle engagements delivered across EBS, Fusion Cloud, and OCI environments.
4–8
weeks from pilot to production for AI agents on EBS or Fusion
35%
reduction in EBS cutover timelines using OCI with structured execution
40%
faster integration delivery using OIC prebuilt adapters at scale
85%
reduction in MTTR with AI-driven monitoring and automated resolution
Oracle AI Strategy Starts with the Right Architecture
The right Oracle AI path depends on the current state of EBS and integrations. Each route aligns architecture readiness with how quickly AI can be deployed and scaled.
PATHWAY 01
EBS Upgrade to 12.2
Unlock AI Database 26ai, modern integration, and OIC connectivity without a full cloud migration.
Best Fit: AI-ready without cloud commitment
.
PATHWAY 02
Lift and Shift to OCI
Migrate EBS workloads to OCI with minimal disruption. Immediate access to OCI AI services.
Best Fit: Speed-to-cloud priority.
.
PATHWAY 03
EBS to Oracle Fusion
Full re-implementation onto Fusion Cloud. AI agents activated at go-live.
Best Fit: AI-first transformation.
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PATHWAY 04
Managed Services First
L2 to L4 managed services to stabilize unstable Oracle environments before AI investment.
Best Fit: Stability before AI.
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An AI Workflow in Oracle, Delivered in Eight Weeks
A fixed-scope engagement that closes with a live AI workflow running inside the Oracle environment, ready for wider rollout.
01
Week 1
Opportunity Alignment
Priority workflow and success metrics defined.
02
Weeks 2–3
Solution Definition
Workflow logic, agent roles, and integration architecture set.
03
Weeks 4–6
Build & Integration
Agents, logic, and integrations built into a functional process.
04
Week 7
Validation
Tested in real scenarios. Accuracy and outcomes measured.
05
Week 8
Scale Readiness
Governance, monitoring, and rollout plan in place.
Engagement Snapshot
Duration
8-week, time-bound engagement
Pricing
Fixed price. Outcome-defined scope.
Client Time Required
2 to 4 hours per week from business and technical teams
Deliverable
A working, validated AI workflow in the Oracle environment, not a conceptual prototype
Applicability
Oracle EBS, Oracle Fusion Cloud, and OCI environments
Post-Pilot Pathway
L2 to L4 managed services, additional agent activation, or enterprise rollout program
From Process Efficiency to Decision Intelligence
Discover how AI agents embedded in Oracle workflows enable faster, context-driven procurement decisions at scale.
Enterprise AI in Oracle, With Controls Built In
Governance embedded in Oracle AI architecture, covering access control, auditability, and execution across agents and workflows.
Prebuilt Accelerators
Reusable templates and adapters to speed delivery and standardise execution.
Data Security & Compliance
Encryption, audit trails, and regulatory alignment built into every deployment.
Observability & Monitoring
Real-time visibility across systems, integrations, and AI agent performance.
Continuous Optimization
Ongoing tuning and improvements aligned to performance and business outcomes.
Integration at Scale
API-led connectivity across Oracle and third-party systems with standard patterns.
Frequently Asked Questions (FAQs)
Define the Right Oracle AI Strategy
Align use cases, data, and architecture before implementation