Seamlessly Embedded
Agents live inside the apps your teams already use — rapid adoption with minimal training.
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Agentic AI
From “assistant” to autonomous.
Oracle AI agents are built directly into Oracle Fusion Cloud — leveraging your business data to deliver answers that are contextually accurate to your organization. They reason, recommend and execute on behalf of your teams.
Why Oracle AI agents
Context-aware, autonomous intelligence.
Cognitive Reasoning
They reason through logic to answer complex questions and execute multi-step tasks.
Universal Specialization
Tailored roles across Finance, HR and Procurement — audits, onboarding and vendor workflows.
Enterprise-Grade Security
Data stays within Oracle Cloud — timely and relevant never compromises safe and private.
Ready from day one
Author. Answer. Action.
Authoring
Create & summarize.
Drafts emails, crafts reports and summarizes long documents — saving hours and ensuring consistency.
Answering
Guide & inform.
Instant, accurate answers from real-time business data — a single source of truth.
Actioning
Execute & automate.
Plans and completes multi-step tasks across tools — complex workflows without human intervention.
The case for agents
Human-led vs agent-driven.
| Dimension | Human-led | AI agent–driven |
|---|---|---|
| Data processing time | 4–48 hrs / cycle | <1–5 min (real-time) |
| Decision latency | 1–3 business days | Seconds to minutes |
| Analyst productivity | 1 analyst : 3–5 stakeholders | 1 agent : 100+ users |
| Insight coverage | 60–70% of data | 95–100% utilization |
| Error rate | 5–10% | <1% |
| Cost per insight | $40–120 / report | $1–5 / insight |
| Availability | ~2,000 hrs / year | 8,760 hrs / year (24/7) |
| Time to deploy | 8–16 weeks | 1–3 weeks (templates) |
| ROI timeline | 12–24 months | 3–6 months |
Indicative figures from BrainTech capability research; outcomes vary by organization.
Showcase · GITEX
Intelligent Banking Assistant.
An AI-powered financial-advisor assistant leveraging agentic and generative AI for real-time, personalized guidance on budgeting, spending, investments and planning.
Real-Time Monitoring
Tracks spending and income instantly, alerting on patterns.
Personalized Recommendations
Budget, savings and investment guidance tied to individual goals.
Scenario Simulations
Test what-ifs — a salary raise, or a large purchase.
Investment Guidance
Beginner-friendly low-risk options with clear growth projections.
Agentic & Proactive
Adjusts and initiates — nudging when spend exceeds limits.
Dashboard Integration
Visual dashboards for savings and spending trends.
AI architecture
How a query flows through the stack.
APEX → Oracle Digital Assistant → REST → Autonomous Database (with OML) → LLM on OCI, and back as a natural-language response.
APEX + ODA Web SDK
Hosts the chatbotQuery submission & display
Oracle Digital Assistant
Intent detectionRoutes to REST APIIntegrated LLM for NLP
REST Integration Layer
Secure data retrievalBridges ODA & database
Autonomous DB (ATP)
Stores transactional dataResponds to REST queries
Oracle Machine Learning
Embedded in ATPPredictions & classification
Large Language Model (OCI)
Receives query + ATP dataGenerates natural-language response
Deploy agents that act, not just answer.
From a single high-impact use case to an enterprise-wide rollout on Oracle Cloud.