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Super-Employee
Compliance Investigator
Machine Reading
Comprehension
Customer Knowledge
Enrichment
AI Data
Analyst
Import Web Page:
Reading Material:
< Any text, English only! >
Note:
you can also copy & paste your text here (English only)...
Question List:
AI Machine - Compliance Investigator:
1. Customers in Compliance Alert:
1.1 Alerted Transactions :
Transaction ID
Date
Sender Name
Sender Address
Sender Age
Sender Phone
Receiver Name
Receiver Address
Receiver Age
Receiver Phone
USD Amount
2022_02
2020-04-06
Trident International Corp.
837 Turk Street, San Francisco, CA, 94102,
(415) 292-4455
Pavel S Flider
San Rafael, California
None
None
210000
2022_43
2020-04-08
Pavel S Flider
San Rafael, California
None
None
Kenovetco Ltd.
None
None
None
200000
1.2 End-to-End AI Investigation :
Table:
transaction_tb
kyc
customer
cases
alert
account
1.3 Manually Enter Customers' Information :
You can enter:
Name_1, addr_1
|
name_2, phone_2, email_2
( must use '
|
' to separate different entities, if applicable. )
Subjects in Scope:
Subject ID
Name
Type
Address
DOB/Age/DOR
Phone
Email
Subject ID
Name
Type
Address
DOB/Age/DOR
Phone
Email
End-to-End Case Investigation Summary:
1. Alerted Transactions:
2. Alert(s):
None
3. Focal Entity:
None
4. Account(s) involved:
None
5. Past Identical Cases:
6. KYC Knowledge:
None
7. Internet Research Summary:
8. Risks Accociated with the Case:
9. Case Final Disposition:
2. Internet Research Options:
Customer Source:
1.1 - Alerted transactions
1.2 - End-to-End AI Investigation
1.3 - Manually Enter Customers' Information
Risk Selection:   
Normal Risk Investigation
High Risk Investigation
Research Option:   
Microsoft Bing Search
LexisNexis Search  
( LexisNexis option disabled, function will be released soon ... )
# of Top URLs to Review:
    5 
 20
     [ 
5
 ]
Saved Cases:
adhoc | 237 | web_case_237
adhoc | 226 | web_case_226
adhoc | 223 | web_case_223
adhoc | 221 | web_case_221
adhoc | 219 | web_case_219
2.1: Targeted Customers:
Subject ID
Name
Type
Address
DOB/Age/DOR
Phone
Email
Subject ID
Name
Type
Address
DOB/Age/DOR
Phone
Email
2.2: Bing Search List:
Type
Search String
Type
Search String
2.3: Web Search Result:
Hide Column:       [
ID
-
Source URL
-
Language
-
Search Type
-
Search String
-
Entity Resolution Flag
-
Entity Resolution Reason
-
Source Image
]
Source ID
Source URL
Lang
Search Type
Search String
Entity Resolution Flag
Entity Resolution Reason
Source Image
Source ID
Source URL
Lang
Search Type
Search String
Entity Resolution Flag
Entity Resolution Reason
Source Image
* User Manual Update Tool:
Case Data Source:
Positive
Relevant
Negative
Maybe
TBD
Duplicated
Not_Related
User ID or Email:
2.4: Knowledge Extracted:
Source URL
Subject ID
Subject Name
Topic
Knowledge Extracted
Entity Resolution Flag
Knowledge Type
Knowledge Detail
Evidence
(Original Text)
Source Image
Source URL
Subject ID
Subject Name
Topic
Knowledge Extracted
Entity Resolution Flag
Knowledge Type
Knowledge Detail
Evidence
(Original Text)
Source Image
2.5: Inteligence Gained:
Subject ID
Subject Name
Type
Intelligence Gained
Subject ID
Subject Name
Type
Intelligence Gained
3. Customized User Inquiry:
Search Relevant Materials Only
Search All Materials
3.1: User Inquiry Result::
URL_ID
URL
Relevant Flag
User Question
Answer
Time
saved page
URL_ID
URL
Relevant Flag
User Question
Answerl
Time
saved page
True Industry Type Identification: [
Under Development...
]
We will let AI to tell us what Industry Classification for the company !
Company Name:
Company Website:
Machine Answers:
Industry Classification:
Revenue / Profit:
# of Employees:
Company Owner:
Source:
Material to Classify:
Category Name:
Category Values:
Fail to stop at red light, Head-on collision, Rear-end collision, Side-impact accident, Rollover, Pedestrian Hit By Car, Single Vehicle Crash, Vehicle hit while parked
Focus of Classification:
Which category best describes the context
Identified Classification:
LLama Text:
LLama Instruction:
LLama Output: