Operational Excellence
- Automated management
- Built-in high availability
- Automated patching
- Performance auto-tuning
Before AI · Manual
~$2.0M
in losses · 25–30% of fraud undetected
After AI · OCI Automated
~$0.5M
in losses · 5–10% undetected
An AI-powered anomaly and fraud-detection system that cleanses documents so they can't be harvested by external AI, and generates contracts that comply with your entity — identifying and mitigating irregularities in real time, aligned to your Delegation of Authority and internal policy.
Every official document runs the full fraud-checking workflow — no manual action required.
Official document enters — workflow starts automatically
OCI detects Arabic vs English; Arabic routes to a custom model
Invoice no., vendor, amounts, dates, PO references pulled
ML flags duplicates, altered amounts, tampered fields
Unusual timing or amounts trigger escalation
Clean documents stored for traceability & audit
Reviewers confirm extracted data & decisions
Validated data flows into ERP & finance systems
| Category | Description | Risk | Manual time |
|---|---|---|---|
| Fraud Exposure | Fake/duplicate invoices, manipulated amounts pass manual checks | Very High | 10–25 min/doc |
| Human Error | Manual review is inconsistent and prone to fatigue | High | 8–20 min/doc |
| Language Barrier | Arabic & English formats complicate extraction | Medium–High | 5–15 min/doc |
| Delayed Detection | Fraud found only after payment or during audits | Very High | Days–weeks |
| Lack of Centralization | Documents scattered across email, folders, laptops | High | 5–10 min/retrieval |
| Scalability | Manual process collapses under volume | Very High | Hours per batch |
With FLOD, the overall document lifecycle drops from 60–120 minutes to 1–2 minutes — a 95%+ efficiency gain, with fraud caught before approval or payment.
Sensitive documents are masked, de-duplicated and standardized, then analyzed by Oracle AI to classify, validate and extract structured insight — producing a safe-to-share, compliant version for every downstream system.
Documents arrive via upload, email or portal — cleansing starts automatically.
PII and financial details masked; errors and duplicates removed; format standardized.
Classifies type, validates required fields, extracts structured insight.
A secure, refined version keeps business value and filters out sensitive content.
A prompt or existing contract is provided to the system.
Oracle Digital Assistant interprets intent and routes the request.
Document understanding + ML align clauses to standards and flag risk.
A clean, compliant draft returns for review, approval and execution.
A conversational engine drafts contracts aligned to your DOA, legal and compliance frameworks — with AI clause detection and risk scoring that highlight deviations and supplier risk before signature.
Across three modules: $650K invested, $8.44M in annual benefit — only 7.7% of total value is the investment; 92.3% is pure business gain.
| Module | Investment | Annual Benefit | ROI | Value Driver |
|---|---|---|---|---|
| Module 1 — Fraud Detection | $200K | $450K | 125% | Early fraud detection, duplicate-payment prevention, less manual investigation |
| Module 2 — Document Cleansing | $150K | $490K | 225% | Eliminates manual cleansing, improves data-protection compliance |
| Module 3 — Contract Automation | $300K | $7.5M | 2000% | Faster cycles, reduced legal risk, full standardization — payback < 1 month |
| Total | $650K | $8.44M | 1,198% | Net gain $7.79M |
Addressable opportunity for FLOD use cases by sector.
"I want to reduce undetected fraud from manual reviews — so the organization saves millions and ensures compliance."
in losses · 25–30% of fraud undetected
in losses · 5–10% undetected
Net savings of ~$1.5M — a 75% reduction.
See the fraud, cleansing and contract modules running on OCI against your own document flows.