Flagship product · AI Document Intelligence
Stop invoice fraud before payment happens
ADI (AI Document Intelligence) is JAI Mind's flagship solution for enterprise-grade invoice intelligence. It detects fraud signals, validates invoices, and integrates directly into existing Java & Spring Boot systems through clean, production-ready APIs.
The problem
Invoice processing is still manual, slow, and error-prone.
Enterprises process thousands of invoices every month, yet key steps — validation, exception handling, and fraud checks — still depend heavily on human review.
OCR-only tools extract text, but they don't understand business rules, context, or risk. Teams are left stitching logic together across spreadsheets, scripts, and manual approvals.
Why ADI
Why generic OCR or AI tools fall short
Most invoice automation tools stop at text extraction. They don't understand business rules, context, or risk — and they struggle to integrate cleanly into enterprise Java systems.
Generic OCR / AI tools
- • Extract text, not intent
- • Limited validation & rule handling
- • Little explainability for audits
- • Often require separate stacks or platforms
ADI (AI Document Intelligence)
- • Understands invoices in business context
- • Applies validation rules & fraud signals
- • Produces explainable, auditable decisions
- • Built natively for Java & Spring Boot systems
The solution
ADI brings intelligence, explainability, and control to invoices.
ADI combines AI-powered extraction, validation logic, and explainable reasoning into a single Java-native solution — delivered as Spring Boot microservices that integrate cleanly into your architecture.
Invoice extraction
Accurate extraction of headers, line items, totals, taxes, and metadata — even from messy or non-standard invoices.
Validation & rules
Business rules, tolerance checks, duplicates, and consistency validation with clear pass/fail reasoning.
Fraud & anomalies
Detection of suspicious patterns and anomalies with AI-generated explanations for review.
How ADI is built
A layered decision system — not a black-box AI
Every step is deterministic until AI is explicitly required — and every outcome is explainable.
Data handling & security
What happens to your invoice data
Invoice data submitted to ADI is processed in-memory only and discarded immediately after the API response is returned. Nothing is written to disk, database, or cloud storage. In the current demo environment, AI reasoning is performed via OpenAI's API — meaning invoice text temporarily passes through OpenAI's infrastructure. For production deployments, ADI supports local LLM deployment where invoice data never leaves your environment.
Data storage
None
Processed in-memory. Discarded after response.
Transport
HTTPS / TLS 1.2+
Google-managed SSL. GCP Cloud Run infrastructure.
Production deployment
Cloud or on-premise
Local LLM option available. No data leaves your environment.
ADI Preview
How ADI reviews invoices before payment
A short walkthrough showing invoice upload, extraction, validation, and how AI flags anomalies — with deeper insights available during live demos.
Real-world impact
How ADI delivers measurable ROI in enterprise systems
ADI is advisory by design — helping teams reduce cost, risk, and manual effort without breaking existing Java workflows.
Hidden fraud that passes all rules
Invoices that look valid and pass ERP rules — but hide fraud in wording, context, or unusual intent.
Finance • Risk • CFO
ROI metrics — loss avoidance
- 💸 Typical fraud impact: $50k–$500k per incident
- ⚠️ Low frequency, extremely high impact
- 🛑 ADI flags early → manual review → stop payment
Business value: Preventing even one incident per year often pays for ADI multiple times over.
View technical flow
ADI flow — advisory & non-blocking
- POST /api/invoice/extract
Converts invoice into structured data - POST /api/invoice/validate
Applies deterministic business & ERP rules - POST /api/invoice/fraud-check
Detects semantic and behavioral anomalies - POST /api/invoice/reason
Explains why the invoice looks suspicious
This flow never blocks payments automatically. It produces advisory signals and explainable reasoning.
Small overbilling across many invoices
Minor overcharges that stay below review thresholds — repeated monthly and invisible to static rules.
Finance • Accounts Payable
ROI metrics — cost recovery
- 📉 Typical leakage: 0.3%–1% of AP spend
- 💰 $20M AP → $60k–$200k annual leakage
- 🔎 ADI recovers or prevents 5–10% conservatively
Business value: ADI finds money you didn't know you were losing. Using existing workflows and controls.
View technical flow
ADI flow — advisory & non-blocking
- POST /api/invoice/extract
Extracts structured invoice data for comparison - POST /api/invoice/validate
Confirms invoice passes deterministic rules - POST /api/invoice/reason
Identifies recurring micro-anomalies across invoices
ADI surfaces potential leakage patterns over time rather than blocking individual invoices.
Reviewer overload & hidden productivity loss
Every invoice treated equally — reviewers overwhelmed, time wasted on low-risk work.
Operations • Shared Services
ROI metrics — operational efficiency
- ⏱️ 3–7 min per invoice review
- 📄 10k invoices/month ≈ 1,000 hours
- ⬇️ ADI deprioritizes ~60–70% safely
Business value: Save 600–700 hours/month — same team, higher throughput, less burnout.
View technical flow
ADI flow — advisory & non-blocking
- POST /api/invoice/extract
Converts invoice into structured signals - POST /api/invoice/validate
Applies rule-based checks for baseline safety - POST /api/invoice/reason
Produces risk signals used to prioritize review queues
Review workflows remain unchanged — ADI only influences prioritization and focus.
New vendor onboarding risk
First-time vendors have no history — rules cannot benchmark behavior when risk is highest.
Procurement • Risk
ROI metrics — risk mitigation
- ⚠️ Vendor fraud often occurs in first 1–3 invoices
- 💥 Cost includes loss, remediation, audit impact
- 🔍 ADI adds context-aware early scrutiny
Business value: Stronger vendor governance with lower downstream remediation costs.
View technical flow
ADI flow — advisory & non-blocking
- POST /api/invoice/extract
Structures invoice data for context analysis - POST /api/invoice/fraud-check
Applies context-aware risk analysis for new vendors - POST /api/invoice/reason
Explains why early scrutiny is recommended
ADI adds intelligence where historical baselines do not yet exist.
Audit pain & compliance overhead
Auditors ask "why was this approved?" — human memory is weak evidence and audit cycles drag on.
Audit • Compliance • Finance
ROI metrics — compliance efficiency
- 🗓️ Weeks of audit prep time saved
- 📉 Fewer follow-ups & overruns
- 📄 ADI provides logged, explainable reasoning
Business value: Faster audits, lower audit cost, and a stronger compliance posture.
View technical flow
ADI flow — advisory & non-blocking
- POST /api/invoice/extract
Captures structured invoice context - POST /api/invoice/validate
Records deterministic approval signals - POST /api/invoice/reason
Generates logged, explainable decision rationale
Every advisory decision produces an audit-ready reasoning trail.
ADI doesn't replace your rules or workflows.
It adds a reasoning layer that reduces cost, risk, and effort — measurably.
Architecture fit
How ADI fits into your existing Java architecture
ADI integrates into enterprise Java environments as a set of Spring Boot–based decision services. Your core systems remain in control — ADI augments workflows with intelligence, not ownership.
⬢Existing Java / Spring Boot System
Core microservices · APIs · Approval workflows · Domain & business logic
Your system remains the source of truth. All approvals, payments, and control points stay exactly where they are.
⇄API Gateway / Event Layer
REST APIs · Async events · Kafka · Internal queues
ADI integrates like any internal service — no UI coupling, no schema lock-in, and no workflow rewrites.
⚙ADI — AI Document Intelligence
- • Layout-aware invoice extraction & normalization
- • Deterministic validation rules & policy enforcement
- • AI-driven fraud & anomaly reasoning
- • Mandatory explanations for every signal
ADI returns structured decisions — approve, review, or reject — along with reasons and confidence. Your system decides what happens next.
Prove ADI Works — in 3–4 weeks
Try ADI risk-free on your actual invoices. We’ll show you:
- ✓ Which invoices contain fraud or anomaly signals
- ✓ Where money could have been lost
- ✓ A clear integration path for your Spring Boot system
No commitment required • Results in 3–4 weeks