Financial Reconciliation & Settlement

Reconciliation & Settlement Solution

A next generation financial reconciliation and settlement platform ....reconSTREAM

reconSTREAM is a next generation end-to-end reconciliation platform designed to facilitate & perform automated reconciliations & Settlements between different transaction recording systems.
It offers a single window operation for all types of data reconciliations and can onboard any new type of reconciliation using its unique workflow-based design in a cost and time effective way. The product is designed from ground-up using highly scalable and resilient technologies.
Flexibility is considered in all aspects of the product design, meaning it will be able to reconcile a wide variety of data sets from various industries, including but not limited to Financial Services, Retail, Government and Telecom. This solution delivers improved efficiency, reduces operational risk, and optimizes cost of operations.

Operational Features

Discrepancies between GL data and transactional data from multiple sources
Complex corporate reconciliation with varied transactions using multiple in country and cross border payment methods
Reconciling portfolios for investment bankers
Credit and debit card complex network data variations
Regulatory compliance
Operational efficiency
Leakages on revenue and profitability

Technology Edge

Unlimited role-based user access license
High seeped and high-volume data bus using Apche Kafka
Optimum use of application using Kubernetes orchestration layer
Highly scalable and resilient technology
Agile to adopt using microservices architecture

Reconciliation is one of the key pillars of Financial integrity and we’re industry experts in the reconciliation domain and empowering both financial and non-financial institutions to take control of their operations by reducing overheads, optimizing costs, , mitigating risk, generating new revenue streams, improving match rates and operational insights, Good Bye to Regulatory Fines and smooth completion of the transaction lifecycle updating General Ledger accordingly.

ReconSTREAM Microservices Architecture

Microservices are small services each running in its process. This provides the benefit of scaling and deploying the services independently

Intelligent Workflow Manager

Matching Service using ML Technology

Manual Recon/impacting Service

Business Rule Engine

Reporting Service

Data Integration

reconSTREAM utilizes highly scalable and performant Apache Kafka for its data pipelines. Kafka brokers will be deployed in a clustered setup to provide a highly resilient integration layer.

In reconSTREAM, Kafka subsystem will be responsible for parsing incoming messages, mapping to a common definition format, and applying data enrichment.
Kafka will also be used for processing system events and notifications.
High Throughput: Kafka can deliver messages at network-limited throughput using a cluster of machines with low latencies (as low as 2ms).
Scalability: You can scale Kafka production clusters up to a thousand brokers, handle trillions of messages per day and manage petabytes of data across hundreds of thousands of partitions. Prmanent Storage: Kafka allows you to store streams of data safely in a distributed, durable, and fault-tolerant cluster.
High Availability: You can efficiently stretch Kafka clusters over availability zones or connect separate clusters across geographic regions.

Built-in Stream Processing: Kafka supports event-time and exactly-once processing, allowing you to process streams of events with joins, aggregations, filters, and transformations.
Connectivity: Kafka’s Connect interface integrates with hundreds of event sources and sinks, including databases (like Postgres), messaging systems (like JMS), cloud storage (like AWS S3), and more.
Client Libraries: You can read, write, and process Kafka streams in various programming languages.
Large Ecosystem: Kafka has a vast ecosystem of open-source tools, thanks to its active community.
Trust & Ease of Use: It’s trusted by thousands of organizations for mission-critical use cases, offering guaranteed ordering, zero message loss, and efficient exactly-once processing.

The workflow engine for financial payments is a rules-based, automated system that orchestrates and streamlines the end-to-end processing of transactions across various financial platforms. It governs the sequence of actions such as payment initiation, validation, compliance checks, approval routing, and settlement, ensuring that each task follows predefined business rules and timelines. By integrating with core banking systems, payment gateways, and reconciliation tools, the engine minimizes manual intervention, reduces processing errors, and improves operational efficiency.

The maker-checker (or four-eyes) principle is a fundamental control mechanism designed to reduce the risk of error, fraud, and operational lapses. At a high level, this technology enforces role-based segregation of duties, ensuring that no single individual can both initiate and authorize a financial transaction. The “maker” is responsible for entering or initiating a payment, while the “checker” independently reviews and approves the transaction before it’s executed. This dual-authorization workflow not only strengthens internal controls but also enhances transparency and accountability. In high-volume or high-value payment environments, maker-checker architecture plays a critical role in regulatory compliance, audit readiness, and safeguarding the integrity of financial operations—making it an indispensable pillar in robust payment settlement frameworks.

Reconciliation and settlement reporting plays a vital role in ensuring the accuracy, transparency, and integrity of financial operations. This process involves systematically matching transaction records across internal systems, counterparties, and external clearing or settlement platforms to identify and resolve discrepancies. Effective reporting provides a clear audit trail of settled transactions, outstanding items, exceptions, and resolution statuses, enabling financial institutions to maintain control, ensure regulatory compliance, and mitigate financial risk. With growing transaction volumes and regulatory scrutiny, robust reconciliation and settlement reporting—often driven by automated tools—supports operational efficiency, reduces manual errors, and strengthens stakeholder confidence through real-time visibility and accountability.

ATM reconciliation is the most complicated and cumbersome, requires multiple source data and parsing of EJ data to get transactional level reconciliation

ATM

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS Application Logs
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
GL extracts (ATM Cash GL and Scheme GL)
Merchant Level Account
Charge Back

Digital Transaction Reconciliation is a process to reconcile financial transactions i.e. Payments, Transfers, purchases, bill payment and remittances using digital channels.

reconSTREAM offers streamlined and efficient automated account-to-account reconciliations. It specifically targets high-value business cross-border transactions, a backbone of global banking for all financial organization

NOSTRO & VOSTRO
RTGS
Cross-Border e-commerce
Bank Accounts
Corporate accounts
Vendor accounts
Inter-company accounts
Foreign currency accounts
Government Accounts
Global Project Financing accounts

reconSTREAM leads in innovative on-line recon technology and payments gateway are classical example

Simplified API based integration
End-to-End automated near-real-time recon & Settlement
Manual human intervention reduction will reduce cost significantly
Automation of data stream management result in zero misses daily.
Cost management through data posting in sub ledger expense accounts in GL management system
Banking data can be automated with each bank
P2P, P2B, B2B etc.....all supported with all end source reconcile.
Both summary settlement and individual transactions reconciliation.
Integration with major global player and local Payment Companies
Visibility of each transaction from source to destination - micro level information.
Simplified Fraud Management with data quality monitoring and escalation management

Card scheme reconciliation plays a crucial role in the general ledger (GL) closing process. It ensures the accuracy and integrity of financial records involving multiple stakeholders. Additionally, it addresses the risk of fraud and chargebacks, which adds complexity to the timely validation of transaction data. reconSTREAM effectively manages: Financial Integrity: ensures accurate financial reporting by aligning transaction data.
Risk Mitigation: Detecting discrepancies early prevents financial losses.
Compliance: Adhere compliance for multiple stakeholders
Manage Intricacy: The involvement of multiple stakeholders and intricate transaction flows make card scheme reconciliation complex.
Fraud Risk and Chargebacks: It identify potential fraud and address chargebacks process promptly using AI technology
High Volumes: Kafka data stream helps managing high transaction volumes efficiently.
Timely execution: executes the recon process using workflow and ML promptly to prevent discrepancies.

Facilitate Merchants to manage their settlement
POS Settlement reports Access to Merchants
Perform Merchant Internal Settlement
Merchant Account base access
All Detailed Transactions list with failed and successful
Reconciliation cycles management
Reporting and Analysis

Merchant Reconciliation Module

Your Smart Reconciliation Solution for Merchants on the Payment Platform

Merchants utilizing any Payment Processing Platform encounter the persistent and challenging task of reconciling statements provided by PSP with their own ledgers and bank statements. Factors such as refunds, chargebacks, delayed payments, discrepancies in fees, and escalating transaction volumes contribute to the complexity, making it daunting for merchants to accurately ascertain their day-to-day financial standing.
reconSTREAM, offering a modern and highly dependable solution to automate the reconciliation process for merchants of all sizes. Our reconSTREAM solution will soon be available as a plugin for all the PSP & Azure Marketplace.
Upon subscription, the reconSTREAM plugin seamlessly integrates into PSP’s merchant dashboard. Merchants gain the ability to effortlessly configure necessary reconciliations using our intuitive user interface. Once configured, reconciliations are executed automatically, with only exceptional cases flagged for human oversight.

General ledger reconciliation is pivotal for ensuring financial accuracy by comparing ledger balances with external documents like bank statements and invoices.

Financial Accuracy : By comparing ledger balances with external documents (like bank statements and invoices), general ledger reconciliation ensures that the recorded amounts are correct.
Informed Decision-Making : Regular reconciliation facilitates informed decision- making, budgeting, and strategic planning.
Audit Readiness : A clear trail of financial transactions resulting from reconciliation ensures audit readiness.
Risk Mitigation : Detecting discrepancies early helps prevent financial losses due to errors or fraud.

Cash Management

ATM reconciliation is the most complicated and cumbersome, requires multiple source data and parsing of EJ data to get transactional level reconciliation

ATM

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

ATM/CDM EJ
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
Scheme clearing files
GL. extracts (ATM Cash GL and Scheme GL)

POS

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS Application Logs
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
Scheme clearing files
GL extracts (ATM Cash GL and Scheme GL)
Merchant Level Account

Digital Payments

Digital Transaction Reconciliation is a process to reconcile financial transactions i.e. Payments, Transfers, purchases, bill payment and remittances using digital channels.

Accounts Management

reconSTREAM offers streamlined and efficient automated account-to-account reconciliations. It specifically targets high-value business cross-border transactions, a backbone of global banking for all financial organization

NOSTRO & VOSTRO
RTGS
Cross-Border e-commerce
Bank Accounts
Corporate accounts
Vendor accounts
Inter-company accounts
Foreign currency accounts
Government Accounts
Global Project Financing accounts

Bill Payments

reconSTREAM leads in innovative on-line recon technology and payments gateway are classical example

Simplified API based integration
End-to-End automated near-real-time recon & Settlement
Manual human intervention reduction will reduce cost significantly
Automation of data stream management result in zero misses daily.
Cost management through data posting in sub ledger expense accounts in GL management system
Banking data can be automated with each bank
P2P, P2B, B2B etc.....all supported with all end source reconcile.
Both summary settlement and individual transactions reconciliation.
Integration with major global player and local Payment Companies
Visibility of each transaction from source to destination - micro level information.
Simplified Fraud Management with data quality monitoring and escalation management

Cards

Card scheme reconciliation plays a crucial role in the general ledger (GL) closing process. It ensures the accuracy and integrity of financial records involving multiple stakeholders. Additionally, it addresses the risk of fraud and chargebacks, which adds complexity to the timely validation of transaction data.
reconSTREAM effectively manages:
Financial Integrity: ensures accurate financial reporting by aligning transaction data.
Risk Mitigation: Detecting discrepancies early prevents financial losses.
Compliance: Adhere compliance for multiple stakeholders
Manage Intricacy: The involvement of multiple stakeholders and intricate transaction flows make card scheme reconciliation
complex.
Fraud Risk and Chargebacks: It identify potential fraud and
address chargebacks process promptly using AI technology
High Volumes: Kafka data stream helps managing high transaction volumes efficiently.
Timely execution: executes the recon process using workflow and ML promptly to prevent discrepancies.

Merchant

Facilitate Merchants to manage their settlement
POS Settlement reports Access to Merchants
Perform Merchant Internal Settlement
Merchant Account base access
All Detailed Transactions list with failed and successful
Reconciliation cycles management
Reporting and Analysis

Merchant Reconciliation Module

Your Smart Reconciliation Solution for Merchants on the Payment Platform

Merchants utilizing any Payment Processing Platform encounter the persistent and challenging task of reconciling statements provided by PSP with their own ledgers and bank statements. Factors such as refunds, chargebacks, delayed payments, discrepancies in fees, and escalating transaction volumes contribute to the complexity, making it daunting for merchants to accurately ascertain their day-to-day financial standing. reconSTREAM, offering a modern and highly dependable solution to automate the reconciliation process for merchants of all sizes. Our reconSTREAM solution will soon be available as a plugin for all the PSP & Azure Marketplace. Upon subscription, the reconSTREAM plugin seamlessly integrates into PSP’s merchant dashboard. Merchants gain the ability to effortlessly configure necessary reconciliations using our intuitive user interface. Once configured, reconciliations are executed automatically, with only exceptional cases flagged for human oversight.

GL Management

General ledger reconciliation is pivotal for ensuring financial accuracy by comparing ledger balances with external documents like bank statements and invoices.

Financial Accuracy : By comparing ledger balances with external documents (like bank statements and invoices), general ledger reconciliation ensures that the recorded amounts are correct.
Informed Decision-Making : Regular reconciliation facilitates informed decision- making, budgeting, and strategic planning.
Audit Readiness : A clear trail of financial transactions resulting from reconciliation ensures audit readiness.
Risk Mitigation : Detecting discrepancies early helps prevent financial losses due to errors or fraud.

ReconSTREAM Microservices Architecture

Microservices are small services each running in its process. This provides the benefit of scaling and deploying the services independently

Intelligent Workflow Manager

Matching Service using ML Technology

Manual Recon/impacting Service

Business Rule Engine

Reporting Service

Data Integration

reconSTREAM utilizes highly scalable and performant Apache Kafka for its data pipelines. Kafka brokers will be deployed in a clustered setup to provide a highly resilient integration layer.

In reconSTREAM, Kafka subsystem will be responsible for parsing incoming messages, mapping to a common definition format, and applying data enrichment.
Kafka will also be used for processing system events and notifications.
High Throughput: Kafka can deliver messages at network-limited throughput using a cluster of machines with low latencies (as low as 2ms).
Scalability: You can scale Kafka production clusters up to a thousand brokers, handle trillions of messages per day and manage petabytes of data across hundreds of thousands of partitions. Prmanent Storage: Kafka allows you to store streams of data safely in a distributed, durable, and fault-tolerant cluster.
High Availability: You can efficiently stretch Kafka clusters over availability zones or connect separate clusters across geographic regions.

Built-in Stream Processing: Kafka supports event-time and exactly-once processing, allowing you to process streams of events with joins, aggregations, filters, and transformations.
Connectivity: Kafka’s Connect interface integrates with hundreds of event sources and sinks, including databases (like Postgres), messaging systems (like JMS), cloud storage (like AWS S3), and more.
Client Libraries: You can read, write, and process Kafka streams in various programming languages.
Large Ecosystem: Kafka has a vast ecosystem of open-source tools, thanks to its active community.
Trust & Ease of Use: It’s trusted by thousands of organizations for mission-critical use cases, offering guaranteed ordering, zero message loss, and efficient exactly-once processing.

The workflow engine for financial payments is a rules-based, automated system that orchestrates and streamlines the end-to-end processing of transactions across various financial platforms. It governs the sequence of actions such as payment initiation, validation, compliance checks, approval routing, and settlement, ensuring that each task follows predefined business rules and timelines. By integrating with core banking systems, payment gateways, and reconciliation tools, the engine minimizes manual intervention, reduces processing errors, and improves operational efficiency.

The maker-checker (or four-eyes) principle is a fundamental control mechanism designed to reduce the risk of error, fraud, and operational lapses. At a high level, this technology enforces role-based segregation of duties, ensuring that no single individual can both initiate and authorize a financial transaction. The “maker” is responsible for entering or initiating a payment, while the “checker” independently reviews and approves the transaction before it’s executed. This dual-authorization workflow not only strengthens internal controls but also enhances transparency and accountability. In high-volume or high-value payment environments, maker-checker architecture plays a critical role in regulatory compliance, audit readiness, and safeguarding the integrity of financial operations—making it an indispensable pillar in robust payment settlement frameworks.

Reconciliation and settlement reporting plays a vital role in ensuring the accuracy, transparency, and integrity of financial operations. This process involves systematically matching transaction records across internal systems, counterparties, and external clearing or settlement platforms to identify and resolve discrepancies. Effective reporting provides a clear audit trail of settled transactions, outstanding items, exceptions, and resolution statuses, enabling financial institutions to maintain control, ensure regulatory compliance, and mitigate financial risk. With growing transaction volumes and regulatory scrutiny, robust reconciliation and settlement reporting—often driven by automated tools—supports operational efficiency, reduces manual errors, and strengthens stakeholder confidence through real-time visibility and accountability.

ATM reconciliation is the most complicated and cumbersome, requires multiple source data and parsing of EJ data to get transactional level reconciliation

ATM

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS Application Logs
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
GL extracts (ATM Cash GL and Scheme GL)
Merchant Level Account
Charge Back

Digital Transaction Reconciliation is a process to reconcile financial transactions i.e. Payments, Transfers, purchases, bill payment and remittances using digital channels.

reconSTREAM offers streamlined and efficient automated account-to-account reconciliations. It specifically targets high-value business cross-border transactions, a backbone of global banking for all financial organization

NOSTRO & VOSTRO
RTGS
Cross-Border e-commerce
Bank Accounts
Corporate accounts
Vendor accounts
Inter-company accounts
Foreign currency accounts
Government Accounts
Global Project Financing accounts

reconSTREAM leads in innovative on-line recon technology and payments gateway are classical example

Simplified API based integration
End-to-End automated near-real-time recon & Settlement
Manual human intervention reduction will reduce cost significantly
Automation of data stream management result in zero misses daily.
Cost management through data posting in sub ledger expense accounts in GL management system
Banking data can be automated with each bank
P2P, P2B, B2B etc.....all supported with all end source reconcile.
Both summary settlement and individual transactions reconciliation.
Integration with major global player and local Payment Companies
Visibility of each transaction from source to destination - micro level information.
Simplified Fraud Management with data quality monitoring and escalation management

Card scheme reconciliation plays a crucial role in the general ledger (GL) closing process. It ensures the accuracy and integrity of financial records involving multiple stakeholders. Additionally, it addresses the risk of fraud and chargebacks, which adds complexity to the timely validation of transaction data. reconSTREAM effectively manages: Financial Integrity: ensures accurate financial reporting by aligning transaction data.
Risk Mitigation: Detecting discrepancies early prevents financial losses.
Compliance: Adhere compliance for multiple stakeholders
Manage Intricacy: The involvement of multiple stakeholders and intricate transaction flows make card scheme reconciliation complex.
Fraud Risk and Chargebacks: It identify potential fraud and address chargebacks process promptly using AI technology
High Volumes: Kafka data stream helps managing high transaction volumes efficiently.
Timely execution: executes the recon process using workflow and ML promptly to prevent discrepancies.

Facilitate Merchants to manage their settlement
POS Settlement reports Access to Merchants
Perform Merchant Internal Settlement
Merchant Account base access
All Detailed Transactions list with failed and successful
Reconciliation cycles management
Reporting and Analysis

Merchant Reconciliation Module

Your Smart Reconciliation Solution for Merchants on the Payment Platform

Merchants utilizing any Payment Processing Platform encounter the persistent and challenging task of reconciling statements provided by PSP with their own ledgers and bank statements. Factors such as refunds, chargebacks, delayed payments, discrepancies in fees, and escalating transaction volumes contribute to the complexity, making it daunting for merchants to accurately ascertain their day-to-day financial standing.
reconSTREAM, offering a modern and highly dependable solution to automate the reconciliation process for merchants of all sizes. Our reconSTREAM solution will soon be available as a plugin for all the PSP & Azure Marketplace.
Upon subscription, the reconSTREAM plugin seamlessly integrates into PSP’s merchant dashboard. Merchants gain the ability to effortlessly configure necessary reconciliations using our intuitive user interface. Once configured, reconciliations are executed automatically, with only exceptional cases flagged for human oversight.

General ledger reconciliation is pivotal for ensuring financial accuracy by comparing ledger balances with external documents like bank statements and invoices.

Financial Accuracy : By comparing ledger balances with external documents (like bank statements and invoices), general ledger reconciliation ensures that the recorded amounts are correct.
Informed Decision-Making : Regular reconciliation facilitates informed decision- making, budgeting, and strategic planning.
Audit Readiness : A clear trail of financial transactions resulting from reconciliation ensures audit readiness.
Risk Mitigation : Detecting discrepancies early helps prevent financial losses due to errors or fraud.

Cash Management

ATM reconciliation is the most complicated and cumbersome, requires multiple source data and parsing of EJ data to get transactional level reconciliation

ATM

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

ATM/CDM EJ
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
Scheme clearing files
GL. extracts (ATM Cash GL and Scheme GL)

POS

Generally, the reconciliation is performed on the previous business day (T-1) after the business day cutover.

POS Application Logs
Switch TLOG extract
Bank Host TLOG extract
Scheme clearing files
Scheme clearing files
GL extracts (ATM Cash GL and Scheme GL)
Merchant Level Account

Digital Payments

Digital Transaction Reconciliation is a process to reconcile financial transactions i.e. Payments, Transfers, purchases, bill payment and remittances using digital channels.

Accounts Management

reconSTREAM offers streamlined and efficient automated account-to-account reconciliations. It specifically targets high-value business cross-border transactions, a backbone of global banking for all financial organization

NOSTRO & VOSTRO
RTGS
Cross-Border e-commerce
Bank Accounts
Corporate accounts
Vendor accounts
Inter-company accounts
Foreign currency accounts
Government Accounts
Global Project Financing accounts

Bill Payments

reconSTREAM leads in innovative on-line recon technology and payments gateway are classical example

Simplified API based integration
End-to-End automated near-real-time recon & Settlement
Manual human intervention reduction will reduce cost significantly
Automation of data stream management result in zero misses daily.
Cost management through data posting in sub ledger expense accounts in GL management system
Banking data can be automated with each bank
P2P, P2B, B2B etc.....all supported with all end source reconcile.
Both summary settlement and individual transactions reconciliation.
Integration with major global player and local Payment Companies
Visibility of each transaction from source to destination - micro level information.
Simplified Fraud Management with data quality monitoring and escalation management

Cards

Card scheme reconciliation plays a crucial role in the general ledger (GL) closing process. It ensures the accuracy and integrity of financial records involving multiple stakeholders. Additionally, it addresses the risk of fraud and chargebacks, which adds complexity to the timely validation of transaction data.
reconSTREAM effectively manages:
Financial Integrity: ensures accurate financial reporting by aligning transaction data.
Risk Mitigation: Detecting discrepancies early prevents financial losses.
Compliance: Adhere compliance for multiple stakeholders
Manage Intricacy: The involvement of multiple stakeholders and intricate transaction flows make card scheme reconciliation
complex.
Fraud Risk and Chargebacks: It identify potential fraud and
address chargebacks process promptly using AI technology
High Volumes: Kafka data stream helps managing high transaction volumes efficiently.
Timely execution: executes the recon process using workflow and ML promptly to prevent discrepancies.

Merchant

Facilitate Merchants to manage their settlement
POS Settlement reports Access to Merchants
Perform Merchant Internal Settlement
Merchant Account base access
All Detailed Transactions list with failed and successful
Reconciliation cycles management
Reporting and Analysis

Merchant Reconciliation Module

Your Smart Reconciliation Solution for Merchants on the Payment Platform

Merchants utilizing any Payment Processing Platform encounter the persistent and challenging task of reconciling statements provided by PSP with their own ledgers and bank statements. Factors such as refunds, chargebacks, delayed payments, discrepancies in fees, and escalating transaction volumes contribute to the complexity, making it daunting for merchants to accurately ascertain their day-to-day financial standing. reconSTREAM, offering a modern and highly dependable solution to automate the reconciliation process for merchants of all sizes. Our reconSTREAM solution will soon be available as a plugin for all the PSP & Azure Marketplace. Upon subscription, the reconSTREAM plugin seamlessly integrates into PSP’s merchant dashboard. Merchants gain the ability to effortlessly configure necessary reconciliations using our intuitive user interface. Once configured, reconciliations are executed automatically, with only exceptional cases flagged for human oversight.

GL Management

General ledger reconciliation is pivotal for ensuring financial accuracy by comparing ledger balances with external documents like bank statements and invoices.

Financial Accuracy : By comparing ledger balances with external documents (like bank statements and invoices), general ledger reconciliation ensures that the recorded amounts are correct.
Informed Decision-Making : Regular reconciliation facilitates informed decision- making, budgeting, and strategic planning.
Audit Readiness : A clear trail of financial transactions resulting from reconciliation ensures audit readiness.
Risk Mitigation : Detecting discrepancies early helps prevent financial losses due to errors or fraud.

Reconciliation & Settlement Solution

A next generation financial reconciliation and settlement platform ....reconSTREAM

Operational Features

Technology Edge

ReconSTREAM Microservices Architecture

Microservices are small services each running in its process. This provides the benefit of scaling and deploying the services independently

Intelligent Workflow Manager

Matching Service using ML Technology

Manual Recon/impacting Service

Business Rule Engine

Reporting Service

ATM

POS

ReconSTREAM Microservices Architecture

Microservices are small services each running in its process. This provides the benefit of scaling and deploying the services independently

Intelligent Workflow Manager

Matching Service using ML Technology

Manual Recon/impacting Service

Business Rule Engine

Reporting Service

ATM

POS

Industries

Company

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