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Corporate Banking Automation With Agentic AI
Multimodal builds agentic AI for corporate banking workflows like corporate lending, cash management, trade finance, and more. Our platform removes manual bottlenecks from your banking workflows, making them faster, seamless, and more accurate.
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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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Automating Key Corporate Banking Workflows
Corporate Lending
servicing costs
Automated loan origination: Understand unstructured data, assess creditworthiness, and automate document verification, streamlining commercial loans, lines of credit, term loans, venture debt, and SBA lending.
Intelligent underwriting: Assess applications against internal underwriting guidelines to provide decision assistance to commercial loan underwriters.
Personalized lending solutions: Understand customer business goals and financial requirements and tailor loan products and terms to meet specific needs.
Trade Finance
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Automated document processing: Extract data from trade documents, such as invoices, bills of lading, and customs declarations, reducing manual input and processing time.
Intelligent risk assessment: Assess the creditworthiness of trading partners and identify potential risks associated with trade transactions.
Real-time trade finance solutions: Offer real-time trade finance solutions, such as supply chain finance and trade receivables financing, using AI to assess creditworthiness and manage risk in real-time.
Cash Management
Automated cash forecasting: Forecast cash flows more accurately, helping businesses optimize their cash positions and reduce the risk of liquidity shortages.
Intelligent payment processing: Automate payment processing, reconcile accounts, and detect fraudulent transactions.
Personalized cash management: Analyze customer behavior and transaction data and offer relevant cash management products and services at the right time to the customers.
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Why Corporate Banks Need Multimodal AI Agents
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
Explore how our agentic AI can automate your workflows and boost profitability.
Get answers to all your questions
See how AI Agents work in real time
Learn AgentFlow manages all your agentic workflows
Uncover the best AI use cases for your business
FAQ
AI in commercial banking enhances services by automating key workflows such as customer onboarding, loan processing, payment reconciliation, and compliance checks. This reduces manual effort, improves accuracy, and accelerates transaction processing, leading to cost savings and better customer satisfaction.
AI automates trade finance workflows by digitizing and analyzing documents like letters of credit, bills of lading, and invoices using Optical Character Recognition (OCR) and Natural Language Processing (NLP). This reduces errors, ensures compliance with international regulations, and speeds up transaction completion times from days to hours.
AI-powered machine learning models analyze historical data and external sources to assess the creditworthiness of businesses more accurately. This enables banks to make informed lending decisions while minimizing risks associated with defaults.
AI simplifies customer onboarding by automating KYC (Know Your Customer) and AML (Anti-Money Laundering) checks. It extracts, cross-references, and validates customer data from multiple sources, ensuring compliance while reducing onboarding time.
Yes, AI systems analyze transaction patterns in real-time to identify anomalies that may indicate fraud. By flagging suspicious activities early, these systems help reduce fraud-related losses significantly.
AI-driven automation eliminates manual document checks and ensures compliance with trade regulations. This improves operational efficiency by reducing processing times for trade finance transactions and cutting costs associated with manual errors.
AI enables hyper-personalization by analyzing business transaction histories and behavioral patterns. Banks can offer tailored financial products, customized credit solutions, and targeted marketing campaigns to enhance client engagement.
AI automates regulatory reporting by scanning large datasets for inconsistencies or violations. It ensures adherence to complex regulations across multiple jurisdictions while reducing human error and operational costs.
Yes, AI in corporate banking can automate cash flow forecasting and optimize liquidity management for businesses. It provides real-time insights into cash positions and helps banks offer dynamic solutions for treasury management.
AI-driven automation can reduce operational costs by up to 40% by streamlining back-office tasks such as account reconciliation, payment processing, and document verification. These efficiencies allow banks to allocate resources toward value-added services.