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RPA + API Partnership at the heart of
hyperautomation
Understanding the togetherness of RPA and API
Robotic Process Automation involves using software robots or "bots" to automate repetitive,
rule-based tasks typically performed by humans. RPA bots interact with user interfaces,
mimic human actions, and execute tasks across various applications and systems. However,
RPA alone is limited to specific applications or systems, and it requires a bridge to connect
with external systems and leverage data from multiple sources. This is where APIs come
into play.
Here is a brief list of areas where RPA in Banking finds relevance for adoption:
Customer Service Compliance Accounts Payable
Credit Card Processing Mortgage Processing Fraud Detection
KYC General Ledger Report Automation
Account Closure process
Account orientation and
Receivable
Data Entry
Collection Under writer support Deposits and More
How advanced self-service capabilities enabled by RPA implementation
In this digital age, customers expect to be able to complete their tasks without having to visit
a physical location. Self-service digital banking solutions are no longer limited to
fundamental functions such as account balance checks and money transfers.
Banks can now offer the following online services:
 Account opening
 Self-registration
 Loan origination
 Purchasing insurance coverage
Real-time ID verification, face and fingerprint biometrics, real-time credit bureau checks,
device verification, and eSignatures provide these self-service features.
It still requires flawless Application Programming Interface (API) integration.
APIs are a set of protocols, tools, and definitions that allows RPA bots to interact with the
bank's legacy system. APIs act as connectors, enabling seamless data exchange, triggering
actions, and accessing functionalities between different applications and systems. APIs
provide a standardized and structured approach to integrating disparate systems, making
them an ideal companion for RPA.
Why are API integrations essential for successful RPA implementations in banks?
RPA bots use multiple APIs to mimic human actions and manual workflows. Bots enter the
targeted environment using APIs where notifications for incidents, business rules, and
custom alerts, actions, or triggers are created. Combining RPA and API helps bots and
automated workflows to integrate with external systems, access data, and orchestrate
complex tasks.
The benefits of combining RPA with API include the following:
Seamless Integration: RPA includes automating routine, rule-based processes that people
now do. RPA bots frequently need to communicate with several applications, systems, and
data sources to accomplish their jobs. APIs are essential in simplifying this integration by
giving RPA bots a standardized and organized mechanism to communicate with other
systems. RPA bots can share information with other applications, online services,
databases, and other systems using APIs to retrieve data, initiate activities, and do other
things.
Data Extraction and Manipulation: To be productive, RPA bots need to deal with data from
various sources. By well-defined interfaces, APIs allow RPA bots to access data from many
systems and databases. To extract, convert, and load data into the proper format for
processing or decision-making, RPA bots can leverage APIs. RPA bots can effortlessly
access and alter data from various sources thanks to APIs, which enable the end-to-end
automation of procedures involving data integration.
Orchestrating Complex Workflows: Hyperautomation often involves automating complex
end-to-end processes that span multiple systems and applications. APIs enable RPA bots to
orchestrate these workflows by interacting with different applications through their APIs. RPA
bots can trigger actions, pass data, and synchronize activities across systems by utilizing the
APIs provided by each application involved in the process. APIs facilitate the seamless flow
of information and actions, allowing RPA bots to coordinate and automate the steps of a
larger business process.
Real-Time Interactions: Real-time access to data and features from other systems are
made possible through APIs. To interface with systems that give up-to-date information,
such as fetching stock prices, verifying the availability of products, or requesting customer
information, RPA bots can use APIs. The accuracy and responsiveness of RPA bots are
improved by this real-time connection through APIs, allowing them to make informed
decisions and execute the appropriate actions based on the most up-to-date information
available.
Scalability and Flexibility: RPA can expand and adjust to shifting business requirements
using APIs. APIs offer a standardized interface for RPA bots to effortlessly interact with new
apps and services as businesses expand and their systems change. RPA bots may quickly
interact with new systems by using APIs without substantially modifying the underlying
automation logic. APIs allow developers to add new features, expand automation, and
integrate with cutting-edge technology as needed.

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RPA and API Partnership at the heart of hyperautomation.pdf

  • 1. RPA + API Partnership at the heart of hyperautomation Understanding the togetherness of RPA and API Robotic Process Automation involves using software robots or "bots" to automate repetitive, rule-based tasks typically performed by humans. RPA bots interact with user interfaces, mimic human actions, and execute tasks across various applications and systems. However, RPA alone is limited to specific applications or systems, and it requires a bridge to connect with external systems and leverage data from multiple sources. This is where APIs come into play. Here is a brief list of areas where RPA in Banking finds relevance for adoption: Customer Service Compliance Accounts Payable Credit Card Processing Mortgage Processing Fraud Detection KYC General Ledger Report Automation Account Closure process Account orientation and Receivable Data Entry Collection Under writer support Deposits and More How advanced self-service capabilities enabled by RPA implementation In this digital age, customers expect to be able to complete their tasks without having to visit a physical location. Self-service digital banking solutions are no longer limited to fundamental functions such as account balance checks and money transfers.
  • 2. Banks can now offer the following online services:  Account opening  Self-registration  Loan origination  Purchasing insurance coverage Real-time ID verification, face and fingerprint biometrics, real-time credit bureau checks, device verification, and eSignatures provide these self-service features. It still requires flawless Application Programming Interface (API) integration. APIs are a set of protocols, tools, and definitions that allows RPA bots to interact with the bank's legacy system. APIs act as connectors, enabling seamless data exchange, triggering actions, and accessing functionalities between different applications and systems. APIs provide a standardized and structured approach to integrating disparate systems, making them an ideal companion for RPA. Why are API integrations essential for successful RPA implementations in banks? RPA bots use multiple APIs to mimic human actions and manual workflows. Bots enter the targeted environment using APIs where notifications for incidents, business rules, and custom alerts, actions, or triggers are created. Combining RPA and API helps bots and automated workflows to integrate with external systems, access data, and orchestrate complex tasks. The benefits of combining RPA with API include the following: Seamless Integration: RPA includes automating routine, rule-based processes that people now do. RPA bots frequently need to communicate with several applications, systems, and data sources to accomplish their jobs. APIs are essential in simplifying this integration by giving RPA bots a standardized and organized mechanism to communicate with other systems. RPA bots can share information with other applications, online services, databases, and other systems using APIs to retrieve data, initiate activities, and do other things. Data Extraction and Manipulation: To be productive, RPA bots need to deal with data from various sources. By well-defined interfaces, APIs allow RPA bots to access data from many systems and databases. To extract, convert, and load data into the proper format for processing or decision-making, RPA bots can leverage APIs. RPA bots can effortlessly access and alter data from various sources thanks to APIs, which enable the end-to-end automation of procedures involving data integration. Orchestrating Complex Workflows: Hyperautomation often involves automating complex end-to-end processes that span multiple systems and applications. APIs enable RPA bots to orchestrate these workflows by interacting with different applications through their APIs. RPA bots can trigger actions, pass data, and synchronize activities across systems by utilizing the APIs provided by each application involved in the process. APIs facilitate the seamless flow of information and actions, allowing RPA bots to coordinate and automate the steps of a larger business process.
  • 3. Real-Time Interactions: Real-time access to data and features from other systems are made possible through APIs. To interface with systems that give up-to-date information, such as fetching stock prices, verifying the availability of products, or requesting customer information, RPA bots can use APIs. The accuracy and responsiveness of RPA bots are improved by this real-time connection through APIs, allowing them to make informed decisions and execute the appropriate actions based on the most up-to-date information available. Scalability and Flexibility: RPA can expand and adjust to shifting business requirements using APIs. APIs offer a standardized interface for RPA bots to effortlessly interact with new apps and services as businesses expand and their systems change. RPA bots may quickly interact with new systems by using APIs without substantially modifying the underlying automation logic. APIs allow developers to add new features, expand automation, and integrate with cutting-edge technology as needed.