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You never beе alone
with your difficulties!
Expertise
Banking

Loan origination

Insurance

Medicine

Retail

Logistics
—

—

—

—

—

—
—
Main tech stack
Java, Spring,

OutSystems platform

FICO Application Studio, DMP,
Origination Manager, Blaze Advisor,
Debt Manager

Oracle

IBM WebSphere 

JavaScript

Mongo DB
—

—

—



—

—

—

—
—

—

—

—

—

—

—

—
JBoss BPM Suite

Alfresco

Blaze Advisor

Big Data

HDFS

PL/SQL

Swagger

Avaya
Client:
Technology stack:
Results
Description What has been done
Collection is a debt management
system which includes
decision-making strategy module
and covers all banking front-office
workflows related to all the
collection stages.
Renaissance Credit, a Russian commercial bank headquartered in Moscow
Integrations with internal and external services: PDS (Avaya), CRM, ECM, ABS, Map and GIS services.

Decision-making strategy module implementation.

Automatic Voice Recognition system.

Mobile client for the hard collection stage.

Different forms of communications: SMS, Email, calls. 

Displaying and work the customer card (contacts, products, services, etc.).

Saving the results of communication with the customer;

Collection and legal agencies cooperation management.
—

—

—

—

—

—

—

—
FICO Blaze Adviser for decision-making strategy module, Outsystems
Debt management workflow improvement

Old unstable and unreliable system is substituted 

Problematic debts management 32% faster on average.
Collection
Delivered Projects:
Client:
Technology stack:
Results
Description What has been done
This is a multimodular solution for both manual
and automatic loan origination process. The
system covers all needs of the bank in terms of
work with loans, including strategies for risk
assessment and decision-making. Gratefully to
flexible and robust configuration mechanism,
the bank is able independently bring innovative
products to the market.
SB Sberbank of Russia JSC, Kazakhstan
Friendly user Interface

Loan origination workflow automation

Integrations with the third parties (credit bureau, pension fund)

Decision-making strategy module;

Flexibly modified patterns for printed forms

Reporting systems (reporting on demand; reporting on schedule, e-mail newsletter;

Integration with internal bank user management system (active directory, OAuth, SSO);

Integrated monitoring system for analytics and management

The use of electronic signature in the process of decision-making.
—

—

—

—

—

—

—

—

—
FICO origination manager / Drools (or any other BRMS), Outsystems or Java
Improved loan application processing (up to 1,000 applications in 15 minutes)

Possibility to add new products quickly 
Credit Decision Platform
Delivered Projects:
Client:
Technology stack:
Description What has been done
This is a comprehensive ML-based solution
processing data under high-load conditions and
defining fraudulent cases effectively.
Moscow Municipal Medical Insurance Fund, Russia
Integrations with internal systems.

Integrations with the third parties

Creation of rules, a set of characteristics used to group invoices into cases.

Algorithmization of rules.

Application of rules to cases with their further analysis, where a case is a series of
procedures followed by a medical center when treating a particular condition.

Rule updates that result in further training of algorithms.

Automated decision-making for detecting incidents, or suspected violations.
Java
Fraud detection
Results
100% better fraud detection compared to past methods

90% of identified cases were connected to complex fraudulent schemes

72% algorithm accuracy
320 million invoices processed in 4 hours

26% reduction in violations
—

—

—

—

—


—

—
Delivered Projects:
Microservices development
Results
Easy and risk-free implementation of new features

Easy support of the updated systems.
Client:
Technology stack:
Description What has been done
The microservices implementation was the next
step in our collaboration with the client.  The bank
decided to implement microservices architecture
for the dynamic systems, for which enterprise
service bus proved to be counterproductive.
Renaissance Credit, a Russian commercial bank headquartered in Moscow
PSD overhauled

Analytics of Anti-Money Laundry module using microservices is completed.

Brokerage System Analysis and Development.
Java
—

—

—
Delivered Projects:
Clients say
As a result of cooperation with PST
Labs, is was possible to reach a new
level of functioning og the AIS for Risk
Management and to establish
high-quality system operation
This project was
recognized by the bank as
successful, and the
achieved result exceeded
expectations
Velari Roman Oksana Staroselskaya
““
About us
StatisticsWho we are?
Our History
«PST Labs» - provider of professional IT services in the
field of software development, automation of business
processes, including complex integration solutions for
banking and financial sector.
Founded in 2014 by a software engineer, the company has
grown from “group of friends” to an mature provider,
retaining its passion for solving complex tasks.
25+
Happy 

customers
100+
Employees
97%
Sucess rate
&Our Clients Partners
Clients Partners
Certified partner
&Thanks contact us
info@pstlabs.co
www.pstlabs.co

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PST Labs presentation general

  • 1. You never beе alone with your difficulties!
  • 3. Main tech stack Java, Spring, OutSystems platform FICO Application Studio, DMP, Origination Manager, Blaze Advisor, Debt Manager Oracle IBM WebSphere JavaScript Mongo DB — — —

 — — — — — — — — — — — — JBoss BPM Suite Alfresco Blaze Advisor Big Data HDFS PL/SQL Swagger Avaya
  • 4. Client: Technology stack: Results Description What has been done Collection is a debt management system which includes decision-making strategy module and covers all banking front-office workflows related to all the collection stages. Renaissance Credit, a Russian commercial bank headquartered in Moscow Integrations with internal and external services: PDS (Avaya), CRM, ECM, ABS, Map and GIS services. Decision-making strategy module implementation. Automatic Voice Recognition system. Mobile client for the hard collection stage. Different forms of communications: SMS, Email, calls.  Displaying and work the customer card (contacts, products, services, etc.). Saving the results of communication with the customer; Collection and legal agencies cooperation management. — — — — — — — — FICO Blaze Adviser for decision-making strategy module, Outsystems Debt management workflow improvement Old unstable and unreliable system is substituted  Problematic debts management 32% faster on average. Collection Delivered Projects:
  • 5. Client: Technology stack: Results Description What has been done This is a multimodular solution for both manual and automatic loan origination process. The system covers all needs of the bank in terms of work with loans, including strategies for risk assessment and decision-making. Gratefully to flexible and robust configuration mechanism, the bank is able independently bring innovative products to the market. SB Sberbank of Russia JSC, Kazakhstan Friendly user Interface Loan origination workflow automation Integrations with the third parties (credit bureau, pension fund) Decision-making strategy module; Flexibly modified patterns for printed forms Reporting systems (reporting on demand; reporting on schedule, e-mail newsletter; Integration with internal bank user management system (active directory, OAuth, SSO); Integrated monitoring system for analytics and management The use of electronic signature in the process of decision-making. — — — — — — — — — FICO origination manager / Drools (or any other BRMS), Outsystems or Java Improved loan application processing (up to 1,000 applications in 15 minutes) Possibility to add new products quickly  Credit Decision Platform Delivered Projects:
  • 6. Client: Technology stack: Description What has been done This is a comprehensive ML-based solution processing data under high-load conditions and defining fraudulent cases effectively. Moscow Municipal Medical Insurance Fund, Russia Integrations with internal systems. Integrations with the third parties Creation of rules, a set of characteristics used to group invoices into cases. Algorithmization of rules. Application of rules to cases with their further analysis, where a case is a series of procedures followed by a medical center when treating a particular condition. Rule updates that result in further training of algorithms. Automated decision-making for detecting incidents, or suspected violations. Java Fraud detection Results 100% better fraud detection compared to past methods 90% of identified cases were connected to complex fraudulent schemes 72% algorithm accuracy 320 million invoices processed in 4 hours 26% reduction in violations — — — — — — — Delivered Projects:
  • 7. Microservices development Results Easy and risk-free implementation of new features Easy support of the updated systems. Client: Technology stack: Description What has been done The microservices implementation was the next step in our collaboration with the client.  The bank decided to implement microservices architecture for the dynamic systems, for which enterprise service bus proved to be counterproductive. Renaissance Credit, a Russian commercial bank headquartered in Moscow PSD overhauled Analytics of Anti-Money Laundry module using microservices is completed. Brokerage System Analysis and Development. Java — — — Delivered Projects:
  • 8. Clients say As a result of cooperation with PST Labs, is was possible to reach a new level of functioning og the AIS for Risk Management and to establish high-quality system operation This project was recognized by the bank as successful, and the achieved result exceeded expectations Velari Roman Oksana Staroselskaya ““
  • 9. About us StatisticsWho we are? Our History «PST Labs» - provider of professional IT services in the field of software development, automation of business processes, including complex integration solutions for banking and financial sector. Founded in 2014 by a software engineer, the company has grown from “group of friends” to an mature provider, retaining its passion for solving complex tasks. 25+ Happy 
 customers 100+ Employees 97% Sucess rate
  • 10. &Our Clients Partners Clients Partners Certified partner