(1) RPA can automate repetitive tasks in financial crime compliance like AML/KYC to reduce manual work and costs. It allows focusing investigator time on more complex cases. (2) The document discusses how RPA can enhance operations throughput by automating tasks like external data retrieval and form filling. A case study shows an organization improved alerts processed per day from 200 to 1200 using RPA. (3) The presentation recommends organizations first assess their operations to identify automation opportunities, then start with a pilot RPA project and scale up based on proven value and ROI. RPA benefits include faster processes, accuracy, and scalability with business needs.

1. Automate your AML/FIU
RoboticsProcessAutomation

2. About
Matrix-IFS
Market
Leader
End-to-End
Solutions
Innovative
Ecosystem
Cost
Effective
Specialized
Expertise
Global
Footprint
Vast
Experience
Projects
2

3. Anshul Arora
Director,
Head of Delivery Center
Matrix-IFS
Background
Program Manager, Architect and Specialist
Experience
11 years. Over 100+ projects in Compliance,
AML, Trade Surveillance & Fraud
Expertise
Analysis, services & solutions on multiple
platforms
Education
Degree in Computer Science and Engineering
3

4. You will
Learn:
RPA: Only proven self-funding project!
How RPA can enhance my Operations team throughput
How and where to start your journey
Problems RPA solves for “Fin Crime” operations
Best options to approach automation implementation
4

5. Problem
Definition:
Industry
Trends
75% – 90% false positives
in Fraud & AML monitoring
80/20 new generation problems
Data gathering, data sorting, charting &
external systems dependency
Inconsistencies, no standards, auditing gaps
(accessing external systems)
‘‘Over half the time our investigators spend on an
alert is simple data gathering.”
- Matrix-IFS Client – Top 10 US Retail Bank
Decentralized systems
Manual tasks and calculations
High turnover – training overheads
Non-technical operations staff
Key known contributors:
5

6. Lack of standards
Inability to supervise standards
Staff turnover & training overhead
Waste of talent
Manual reporting
No decision standards
No audit
Human errors Operations
Challenges
People
Processes
Products
6

7. Typical
Operations
Process
(Today)
Alert
Cases
Detection System Processes
Internal Data Sys
Address Data
KYC Data
Social Data
Historical Data
Reports
Fraud Data
Data Valid Systems
Google
Suspect Lists
System Queries
Excel Pivots/Macro
Internal Data Base
RFI Systems
7

8. Introduction:
What is RPA?
(1) https://www.cio.com/article/3236451/business-process-management/what-is-rpa-robotic-process-automation-explained.html
CIO(1):
“RPA is an application
of technology aimed
at automating
business processes.”
IRPA AI(2):
“Robotic process automation
(RPA) is the use of software with
artificial intelligence (AI) and
machine learning capabilities to
handle high-volume, repeatable
tasks that previously required
humans to perform…”
(2) https://irpaai.com/what-is-robotic-process-automation/ 8

9. RPA
Applications
(Generic) Insurance Manufacturing BPO
Healthcare FinanceBanking
Many companies provide automation solutions, including:
9

10. Why RPA Makes Sense in FIU
FIU operations similarities:
Predefined decision points
Predefined investigation workflow
Triggered when laundering scheme suspected and/or confirmed
Heavy manual interaction with the system
AML alert volumes are higher than ever before
RPA
Implementation
Criteria
Tasks decision
points documented
Triggered at a
particular event
Performed
Manually
Repetitive
tasks
High-volume
10

11. Opportunities
of RPA in FIU
…and many more identified during assessment phase
Automation
in FIU
External
RFI
Systems
Internal
DB
Systems
One-Stop
Ecosystem
Customer
Historical
Information
Auto
SAR
e-Filing
KYC
Verification
Cognitive
Suggestion
11

12. How RPA
is Perceived
Reduce operations manual tasks (RPA)
On-Screen action vs. Off-Screen action:
ACTIVE: In the front end, helping your users
when then need.
PASSIVE: Working in background and
doing the actions reducing the risks,
automatically closing the alerts
Cut alert volumes (False Positives)
Reduce investigation intensity
12

13. Path to RPA in Operations
Scalable RPA
• Providing BOT interfaces
• Information-sharing BOTs
Cognitive RPA
• BOTs getting SMARTER
• BOTs suggestions
• BOTs deliver quality analysis
• Compliance ‘Dream Vision’
Tactical RPA • Scripting & Macros of SOP
• Smart data representation
Predecessor
• Automated data collection
• Data availability
13

14. BOTs development
framework
Pre-built common
external data integration
connectors
Integration layer
rather than UI
Requires core product
knowledge & support
Vendor Solution
One size fits all
RPA
Solution
vs.
Service
Builds BOTs using core
technologies framework
Vendor Service
Bespoke configurations
Covers integration &
interface layers
Smooth future case
management upgrades
Uses common languages
(Java, XML etc.)
Customization to
complement the product
14

15. “Investigators focus on Investigations”
Happy BSA Officer, 2017
✓ One Screen
✓ Standardized
✓ Efficient
✓ Simple
✓ Automated
Enhanced Operations Process - New State
Alert
Detection
System Processes
Cases
Internal Data Sys
Address Data
KYC Data
Social Data
Historical Data
Reports
Fraud Data
Data Valid Systems
Google
Suspect Lists
System Queries
Excel Pivots/Macro
Internal Data Base
RFI Systems
15

16. RPA Vision: Strategic Alert Dashboards
16

17. RPA
Case Study
The Only
Self-funding
Project
Factors Measure
Case processed per day 250
Factors Measure
Alert Investigation Time
Case Investigation Time
Total # of Investigators – Alert
Total # of Investigators – Case
30 minutes
48 minutes
25
25
Alerts processed per day 400
BEFORE
RPA
Total Cases per day
Total Alerts per day
0 200 400 600 800 1000 1200 1400
After RPA Before RPA
RPA Factors RPA Measure
Alert Investigation Time
Case Investigation Time
Total # of Investigators – Alert
Total # of Investigators – Case
10 minutes
15 minutes
25
25
RPA Factors RPA Measure
Alerts processed per day
Case processed per day
1,200
800
AFTER
RPA
Client : US Commercial bank
17

18. RPA
Benefits
Fast
Operations
Processes
Less
Training
Overhead for
new employees
Increased
Team
Efficiency
Fully
Audited
Optimized
Accuracy
BOTs don’t make
mistakes
Cost
Savings
Lower
Risk
Scalable
RPA
per business needs
18

19. Matrix-IFS
RPA
methodology
and approach
Show value and repeat
Launch
Monitor
Repeat
III
Launch
Monitor
Repeat
RPA pilot into production
RPA pilot implementation
Assess
Measure
Identify
Evaluate
I
& review current operations model
Time consumed by each task
Identify the opportunities of RPA
Assess
Measure
Identify
Evaluate Calculate ROI
II
Prove
Build
Align stakeholders; value in initial scope
Roadmap to get to TOM by ROI
Prove
Build
19

20. Take-aways
from
Today’s
Session
START YOUR JOURNEY TODAY!
All firms have a varying degree
of operations inefficiencies
Operations inefficiencies run across all
Financial Crime
Are ML and AI solutions for the
operations teams?
RPA: Only proven self-funding project!
How to build RPA vision for your FIU
20

21. Thanks!Questions?
Anshul.Arora@Matrix-IFS.com 21