Agentic Digital Finance = AgenticDfin |
![]() |
| Robotic Process Automation + Artificial Intelligence = Intelligent Automation |
|
Ai Home |
BofI Build Very Detail Banking In Detail PDF |
The Genesis of BofI: Example From Year 2000 |
The AgenticDfin Build Process Soon |
Ai Staff Training Example Talk With Evans Imagine Training Staff This way. ![]() |
Video Presentation - History of Bank Technology
|
|
DFIN, BofI and The Evolution of BankingUsing RPA in 2000
|
Exhibit A – 2026
Skip Trace Data Fields in 2026
The following are the most effective
data fields and techniques used by banking skip tracers to
locate individuals. This has many more fields than I used
in the past. 1 - Core Identity & Contact Fields These fields serve as the foundation
for any trace, helping to differentiate the subject from
others with similar names.
2 - High-Yield Location Fields Banks prioritize "Right-Party Contact"
(RPC) by looking for the most recently reported physical
locations.
3 - Employment & Financial
Intelligence Locating a workplace is often more
effective than a home address for establishing contact or
executing legal remedies.
4 - Advanced Associative Fields When direct leads go cold, banks use
"linking" data to find the individual through their network.
|
Exhibit B
Robotic Process Automation
"Robotic Process Automation" was
first coined and entered the press in the early 2000s.
·
Early 2000s: Industry
pioneers like Blue Prism first released early RPA software
products around 2003.
·
2012: This was the
pivotal "breakout year" when the term achieved widespread
enterprise press and media coverage. Major outlets began
running prominent feature pieces, such as The Economist
publishing its highly cited "Rise of the software machines"
article. |


