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Agentic AI in Payment Processing
Multimodal builds agentic AI for B2B payment automation, transaction monitoring, fraud detection, dispute resolution, reconciliation, and compliance management. Our platform delivers end-to-end automation for payment process operations.
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How Multimodal AI Agents work
Our AI Agents learn, think, and act with different built-in capabilities. We fine-tune these AI Agents on your company data and deploy them as APIs through our AgentFlow platform.
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Document AI
Trained on your schema to extract, label, and organize data from structured and unstructured documents.
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Decision AI
Ingests your internal manuals and guidelines, providing accurate data-driven decision recommendations for complex workflows.
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Database AI
Access company databases to answer queries, interpret datasets, and provide actionable insights.
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Multimodal AI Agents Automate Payments with Precision
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Customer Onboarding
Automated onboarding and approval: Verify customer information quickly and reconcile with credit reports and external documents, reducing manual effort and processing time.
Real-time risk assessment: Assess customer risk profiles in real-time, ensuring compliance with regulatory requirements and mitigating the risk of fraud.
Personalized product recommendations: Offer personalized product recommendations based on customer preferences and needs.
Dispute Resolution
Automated dispute resolution: Automate the dispute resolution process, reducing manual effort and improving efficiency.
Knowledge base integration: Integrate AI with a knowledge base of frequently asked questions and dispute resolution guidelines to provide automated support to customers.
Customer sentiment analysis: Analyze customer sentiment and identify potential areas for improvement in the dispute resolution process.
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Real-time Fraud Detection
in fraud losses
risk management efficiency
Advanced fraud detection algorithms: Develop sophisticated fraud detection algorithms to analyze transaction data, customer behavior, and external factors to identify suspicious activity in real-time.
Behavioral biometrics: Track customer behavior, such as typing patterns, mouse movements, and device usage to identify anomalies that may indicate fraudulent activity.
Real-time risk assessment: Continuously monitor customer risk profiles and take proactive measures to mitigate losses.
Personalized Rewards Disbursement
customer satisfaction
Predictive analytics: Predict customer spending patterns and offer personalized rewards that are most likely to drive engagement and spending.
Real-time rewards optimization: Optimize rewards programs in real-time, ensuring that rewards are offered at the right time and in the right amount to maximize customer value.
Personalized communication: Understand customer preferences and needs and tailor messaging to increase engagement and drive spending.
Why Payment Companies Love Multimodal
Transparent & explainable
Our AI Agents are explainable, helping you track decisions and stay compliant with banking regulations.
Integration & flexibility
We provide end-to-end integration with legacy systems and existing workbenches. Our AI Agents also learn and improve continuously.
Tailored automation
Our AI Agents are trained on your company data, increasing accuracy, customer satisfaction, and specific risk identification.
Continuous Improvement
Our AI Agents are trained on your company data, increasing accuracy, customer satisfaction, and specific risk identification.
Security & Data Privacy First
Flexible Deployment
Our automation software is deployed on your infrastructure, either on your virtual private cloud (VPC) or on-premises.
Data Security
Your data stays within your systems, ensuring user privacy and compliance with regulations, enhancing business security.
Enhanced Protection
This setup safeguards your users, keeping your operations secure and compliant.
Book a 30-minute demo
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Learn AgentFlow manages all your agentic workflows
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FAQ
Payment automation streamlines payment workflows by digitizing invoice capture, approval, and payment execution, reducing manual effort, errors, and processing time. This leads to faster payments, improved cash flow, and stronger vendor relationships, allowing finance teams to focus on strategic work instead of repetitive tasks.
B2B payment automation uses software to manage the end-to-end process of receiving, approving, and executing payments between businesses. It captures invoice data electronically, matches invoices to purchase orders, routes them for approval, schedules payments, and automatically reconciles transactions—all while maintaining compliance and security.
Multimodal AI agents can process invoices from multiple sources (email, portals, paper), extract and validate data using OCR and machine learning, and automate approval workflows. They also monitor transactions for fraud, ensure regulatory compliance, and generate detailed reports, making the entire payment process more accurate and efficient.
AI-driven payment automation platforms use advanced encryption, multifactor authentication, and real-time monitoring to detect and prevent fraud. They also automate compliance checks, ensuring all transactions adhere to tax, AML, and other regulatory requirements, reducing risk and audit burdens.
Yes, payment automation platforms can handle both recurring payments (like subscriptions or regular vendor invoices) and one-time payments. AI schedules, initiates, and tracks these payments automatically, ensuring on-time execution and reducing the risk of missed or duplicate payments.
Automated payment workflows ensure timely payments, reduce processing delays, and provide real-time insights into cash positions. Detailed analytics and reporting from AI systems help businesses optimize payment timing, take advantage of discounts, and better manage working capital.
AI continuously analyzes transaction patterns and user behaviors to identify anomalies and potential fraud in real time. By adapting to new threats and minimizing false positives, AI helps prevent financial losses and enhances trust in digital payment processes.
Modern payment automation solutions offer APIs for seamless integration with ERP, accounting, and banking systems. This enables businesses to automate data flow, synchronize records, and maintain consistent financial information across platforms.
Yes, payment automation is scalable and can be tailored to the needs of businesses of all sizes. Even small and midsize companies benefit from reduced manual workload, fewer errors, and improved vendor relationships.
AI-driven payment platforms can analyze customer preferences and transaction histories to offer tailored payment options, personalized rewards, and targeted communications, enhancing customer satisfaction and engagement.
Key types include invoice automation (data capture and approval), recurring payment automation (scheduled payments), accounts payable (AP) automation (vendor payments), accounts receivable (AR) automation (incoming payments), and expense management automation (employee reimbursements).
Pricing varies based on business size, transaction volume, and specific workflow needs. Contact us for a tailored quote and to discuss the best-fit solution for your payment automation requirements.