P2P
Purchase Order Exception Agent
Continuously identifies approval delays, missing receipts, supplier slippage, and price or quantity variances before they disrupt payment or supply.
PO approvalsreceiptssupplier delay
All productsLive
Oracle ERP AI Agent Suite
Oracle ERP intelligence, engineered for action.
advAInt extends Oracle Fusion with intelligent agents that monitor, reason, recommend and orchestrate work across Procure-to-Pay, Order-to-Cash, Record-to-Report and Supply Chain Management.
Complements Oracle-native AIProcess-first, not chatbot-firstBuilt for measurable outcomes
Agentic Operations Console
P2PInvoice Exception Agent3-way match variance detectedAction ready
O2COrder Health AgentCustomer promise date at riskPrioritized
R2RClose Readiness Agent2 reconciliations blocking closeEscalated
SCMSupply Risk AgentCritical material delay projectedMitigation found
24/7
Continuous monitoring
4
Process towers
1
Governed action layer
The advAInt equation
Oracle provides the ERP platform and embedded AI. advAInt connects the decisions across the process.
Our agents complement Oracle's native capabilities by orchestrating cross-functional actions, resolving exceptions and surfacing the next best decision across ERP and adjacent enterprise systems.
“advAInt's Oracle ERP AI Agent Suite turns Oracle Fusion process data into prioritized, governed and measurable business action.”
Oracle ERP AI Agent Suite
AI agents built for real Oracle operations.
Each use case maps to a familiar Oracle Fusion process, a defined exception pattern and a measurable business outcome.
P2P
AP Invoice Resolution Agent
Triages invoice exceptions, recommends the likely resolution path, and routes the issue to the right buyer, receiver, approver, or supplier contact.
3-way matchholdsrouting
P2P
Supplier Performance Agent
Combines delivery, quality, lead-time, spend, and risk signals to prioritize suppliers requiring intervention or sourcing action.
OTIFqualityrisk
O2C
Order Health Agent
Monitors every sales order from booking through fulfillment and highlights credit holds, shortages, ship-date risks, and revenue exposure.
order riskcreditrevenue
O2C
Customer Promise Agent
Evaluates supply, capacity, inventory, and logistics constraints before a commitment is missed, then recommends a realistic promise date.
ATPcapacitypromise date
O2C
Collections Prioritization Agent
Ranks accounts by payment risk, value, aging, and outreach history so collections teams focus on the actions most likely to improve cash flow.
agingcashnext best action
R2R
Financial Close Readiness Agent
Tracks close dependencies across entities and functions, identifies tasks at risk, and provides a daily view of what could delay close.
close tasksreconciliationescalation
R2R
Journal Review Agent
Flags unusual, duplicate, high-risk, or policy-sensitive journal activity for reviewer attention before posting or during close.
outlierscontrolsreview
R2R
Executive Financial Insight Agent
Answers business questions in plain language by connecting finance results with operational drivers across entities, products, customers, and plants.
variancedriversexecutive insight
SCM
Supply Chain Control Tower Agent
Prioritizes end-to-end supply risks across procurement, inventory, manufacturing, logistics, and customer demand.
control towerexceptionsorchestration
SCM
Inventory Rebalancing Agent
Recommends transfers, safety-stock adjustments, and excess or obsolete inventory actions based on demand and service priorities.
inventorytransfersworking capital
SCM
Manufacturing Constraint Agent
Detects material, labor, capacity, quality, or work-order constraints and recommends the most viable mitigation path.
work ordersconstraintsmitigation
Cross
Working Capital Optimization Agent
Coordinates procurement, AP, inventory, AR, and treasury signals to identify the actions with the greatest cash impact.
cash conversionAPinventory
Cross
ERP Change Impact Agent
Assesses how a quarterly update, configuration change, or integration modification may affect business processes, controls, reports, and users.
quarterly updatestestingimpact
Cross
Enterprise Process Optimization Agent
Finds approval bottlenecks, rework, manual handoffs, control gaps, and automation opportunities across end-to-end ERP processes.
process miningautomationcontinuous improvement
Why advAInt
Oracle expertise and agentic AI, working as one.
We design agents around how work actually moves through Oracle Fusion — and the people, controls and systems around it.
Built to complement Oracle
We extend embedded Oracle capabilities with cross-process orchestration, exception management and enterprise-specific decision logic.
- Uses Oracle as the system of record and transaction backbone.
- Adds customer-specific policies, thresholds and escalation paths.
- Connects Oracle workflows with adjacent systems and channels.
- Preserves human approval, security, auditability and governance.
Designed for business adoption
Every agent is tied to a recognizable operating pain point and a value case a CFO, CPO, COO, Controller or Supply Chain leader can support.
- Clear exception-to-action workflow.
- Focused pilot with a measurable business baseline.
- Role-based recommendations instead of generic chat responses.
- Scalable path from advisory agent to governed automation.
Business outcomes
Use cases customers can understand — and fund.
The strongest agentic AI programs start with business outcomes, not technology demonstrations.
Faster exception resolution
Prioritize the right issue, provide context, and recommend the next action.
Improved working capital
Reduce avoidable payment delays, inventory exposure and collection slippage.
More reliable close & fulfillment
Detect dependencies and risk before they become missed commitments.
Higher process adoption
Bring insight and recommendations to users in the context of their work.
Implementation approach
Start small. Prove value. Scale responsibly.
Our process helps customers move from a targeted use case to a governed portfolio of Oracle ERP agents.
1
Identify the business exception
Select a process pain point with volume, urgency, measurable impact and available data.
2
Map decisions and controls
Define the users, policies, thresholds, approvals, evidence and actions the agent must respect.
3
Deploy an advisory pilot
Begin with recommendations and human approval before expanding to governed automation.
4
Measure and scale
Track cycle time, resolution rate, financial impact, adoption and control performance.
Let's build
Put Oracle ERP AI to work — with discipline.
Start with a focused discovery session to identify the highest-value exception pattern across P2P, O2C, R2R or Supply Chain.