1. HUMAN TEACH
Configure extraction rules and logic patterns for the AI to follow.
Logic Rule:
IF Document.Type == 'Invoice' AND Total > 5000 -> Trigger 'Manager_Approval'
SYSTEM CORE SCRIPT
def process_to_sql(doc):
text = ocr.extract(doc)
data = ai.parse(text)
sql.insert("invoices", data)
return "Success"
text = ocr.extract(doc)
data = ai.parse(text)
sql.insert("invoices", data)
return "Success"
2. AI LEARN / PROCESS (SENSORY)
INCOMING DOCUMENTS
Monitoring: documents@xyzcorp.com
EXTRACTING TEXT...
[CONFIDENCE: 98%]
VENDOR: ABC SUPPLIERS LTD
INV_NO: 2025-9901
TOTAL: $4,250.00
DATE: 12-DEC-2025
[CONFIDENCE: 98%]
VENDOR: ABC SUPPLIERS LTD
INV_NO: 2025-9901
TOTAL: $4,250.00
DATE: 12-DEC-2025
3. AI KNOWLEDGE (SQL SERVER)
Structured memory stored in central database.
| DOC_ID | ENTITY | AMOUNT | STATUS |
|---|---|---|---|
| INV-4521 | Global Tech | $1,200 | STORED |
| INV-4522 | Amazon Web | $450 | STORED |
| PO-990 | SpaceX Corp | $12,000 | STORED |
4. AI EXECUTE
09:00 AM - Triggered
Batching invoices for payment cycles.
10:15 AM - Executed
Automated matching: INV-4521 matched with PO-882.
11:00 AM - Verification
Flagged INV-9902 for human review (OOD).
5. HUMAN OUTPUT
EMAIL SENT
To: CFO@xyzcorp.com
Report: Daily Financial Summary Generated.
SMS ALERT
To: +91 98XXX XXX01
High-value invoice ($12k) processed successfully.
98%
SYSTEM ACCURACY