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Patented AI Agent
Risk 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 Agent - Risk Investigation:
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:   
Google Customer Search
Negative News API Search  
# of URLs:
    5 
 20
     [ 
5
 ]
Saved Cases:
adhoc | 884 | web_case_884
adhoc | 883 | web_case_883
adhoc | 882 | web_case_882
adhoc | 881 | web_case_881
adhoc | 880 | web_case_880
adhoc | 879 | web_case_879
adhoc | 876 | web_case_876
adhoc | 875 | web_case_875
adhoc | 874 | web_case_874
adhoc | 873 | web_case_873
adhoc | 872 | web_case_872
adhoc | 871 | web_case_871
adhoc | 870 | web_case_870
adhoc | 869 | web_case_869
adhoc | 868 | web_case_868
adhoc | 867 | web_case_867
adhoc | 866 | web_case_866
adhoc | 865 | web_case_865
adhoc | 864 | web_case_864
adhoc | 863 | web_case_863
adhoc | 862 | web_case_862
adhoc | 861 | web_case_861
adhoc | 860 | web_case_860
adhoc | 859 | web_case_859
adhoc | 858 | web_case_858
adhoc | 857 | web_case_857
adhoc | 856 | web_case_856
adhoc | 855 | web_case_855
adhoc | 854 | web_case_854
adhoc | 853 | web_case_853
adhoc | 852 | web_case_852
adhoc | 851 | web_case_851
adhoc | 850 | web_case_850
adhoc | 849 | web_case_849
adhoc | 848 | web_case_848
adhoc | 847 | web_case_847
adhoc | 846 | web_case_846
adhoc | 845 | web_case_845
adhoc | 844 | web_case_844
adhoc | 843 | web_case_843
adhoc | 842 | web_case_842
adhoc | 841 | web_case_841
adhoc | 840 | web_case_840
adhoc | 839 | web_case_839
adhoc | 838 | web_case_838
adhoc | 837 | web_case_837
adhoc | 836 | web_case_836
adhoc | 835 | web_case_835
adhoc | 834 | web_case_834
adhoc | 833 | web_case_833
adhoc | 832 | web_case_832
adhoc | 831 | web_case_831
adhoc | 830 | web_case_830
adhoc | 829 | web_case_829
adhoc | 828 | web_case_828
adhoc | 827 | web_case_827
adhoc | 826 | web_case_826
adhoc | 825 | web_case_825
adhoc | 824 | web_case_824
adhoc | 823 | web_case_823
adhoc | 822 | web_case_822
adhoc | 821 | web_case_821
adhoc | 820 | web_case_820
adhoc | 819 | web_case_819
adhoc | 818 | web_case_818
batch | 168 | case_202408_01
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
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: Intelligence Gained :
Subject ID
Subject Name
Type
Intelligence Gained
Subject ID
Subject Name
Type
Intelligence Gained
✦ 2.6: AI Override Tool
* User Overrides AI Decisions :
Case Data Source:
Positive
Relevant
Negative
Maybe
TBD
Duplicated
Not_Related
User ID or Email:
✦ 2.7: Download Case Reports
Offline HTML Report
Checking…
web_case_884_offline.zip
Not ready
Check Now
Case Summary (Word)
Checking…
web_case_884_summary.docx
Not generated yet
✦ Final Intelligence Report
✨ AI
Checking…
web_case_884_final_report.docx
Generating…
Check Now
Not generated yet
3rd Party Enrichment
Checking…
web_case_884_3rdparty_enrichment.xlsx
Not ready
Check Now
Web Research Enrichment
Checking…
web_case_884_web_enrichment.xlsx
Not generated yet
3. Dynamic User Inquiry:
Search Confirmed Materials
Search Relevant+ Materials
3.1: AI Insight Result
✨ AI Insight
✖
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: