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  1. 100% Eradication of Transaction Leakages.
  2. 95% Faster Entry to Market.
  3. 90% Enhancement in Back Office Operations.

AI in Payment Reconciliation

AI-Powered Precision in Payment Reconciliation

Transform your Payment & Finance Operations

into a Profit Generator


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Eliminate Revenue Leakages

Resolve revenue leakages from billing errors and settlement delays at scale using AI-driven data matching and predictive insights.

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Avoid Fee Overcharges

Automatically validate card fees at the transaction level with AI to optimize costs, prevent overcharges, and reduce chargebacks.

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Adaptive Data Handling

Handle evolving data formats and standards seamlessly, reducing time spent on data management by over 65%.

Benefits

AI-Powered Benefits for Payments Reconciliation

Reconcile faster and more accurately, driving up revenue and improving customer satisfaction with AI. Use AI and ML technologies to improve payment operations, recover failed payments, and boost revenue predictability and customer retention.

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Maximize revenue and reduce churn

Reduce involuntary churn by using ML-driven insights to analyze payment data and optimize issuer strategies.

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Streamlined Data Processes

Our AI handles multiple file types, updates automatically, and connects with major ERPs and PSPs.

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Real-Time Issue Resolution

N-way Fuzzy Matching pinpoints transaction gaps, resolving issues before they turn into costly chargebacks.

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Optimized Fee Management

NLP Fee Validator flags overcharges and benchmark fees, helping you renegotiate with providers for better terms.

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Data-Driven Customer Retention

Leverage AI insights to order preferred payment methods, tailoring experiences and increasing long-term loyalty.

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Scalable and Secure

Operate confidently with data security measures that ensure compliance and rapid scalability as your needs grow.

Use Cases

Advanced Insights and Control with AI-Powered Payment Reconciliation

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Adaptive IDP Workflow
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Semantic Data Mapper
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N-Way Fuzzy Matching
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NLP Fee Validator
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Organic Accounting
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Back-Office GPT

Seamlessly Integrate and Adapt to New Data Formats


Empower your business to handle dynamic payment data requirements effortlessly with AI-driven adaptive workflows. Features include:


  • Dynamic File Ingestion: Add new file types and fields on demand, without IT dependency.

  • Real-Time Adaptability: Adjust seamlessly to slight changes in data formats or fields without retraining models.

  • Pre-Built API Connections: Stream data directly from PSPs, ERPs, and other systems for faster processing.
    Optimus’s AI-powered workflows enable quicker go-to-market strategies, saving hours of configuration time and reducing dependency on IT teams.
Process Behind

How AI in Payments

Reconciliation Works


Efficiently reconcile, identify, and address payment

inconsistencies for optimal performance.


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Data Consolidation

AI identifies and contextualizes data across finance, accounting, and payments, eliminating silos and boosting data integrity.

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Real-Time Issue Detection

N-way matching ensures accurate tracking of missing payments and billing discrepancies across the transaction lifecycle.

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Automated Fee Verification

Automatically analyze fee SLAs at the transaction level, reducing overcharges and enabling seamless compliance.

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Continuous Optimization

Back-office AI chatbot provides real-time answers, empowering teams to enhance payment strategies and save on costs.

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What’s More?

Other Core Capabilities

Optimus Fintech offers a holistic suite of capabilities that revolutionizes your financial operations.

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Reconcilation
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Ledgers
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Analytics and Reporting
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Fees & Commissions
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Ready To Transform Your Business Finance?

Let's discuss how Optimus Fintech can help your organization automate all financial operations and give you the confidence to grow at scale.
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Frequently Asked Questions For AI in Payments Reconciliation

How does AI help in payment reconciliation?


What are soft and hard declines in payments?


Can AI reduce my transaction processing costs?


How does AI improve customer retention?


What are the benefits of AI in recurring payment recovery?


How does AI handle failed payments?


Will AI help with payment forecasting?


How does NLP Fee Validator work?


Can I integrate AI with my existing PSPs and ERPs?


What kind of data does AI analyze?