Guarantees, standby letters of credit (SBLCs), commercial letters of credit and credit facilities are essential to business operations, yet the processes surrounding them often remain fragmented.

Internal requests are handled manually, communications with banks rely on disconnected channels, and information about exposures, credit lines, fees and transaction status is scattered across emails, spreadsheets and separate systems.

Three developments are reshaping this landscape:

  1. Digitizing internal trade finance processes to improve efficiency and control.
  2. Connecting financial institutions through multi-bank connectivity and real-time communication.
  3. Empowering Treasury with AI to simplify daily activities and support better decisions.

Together, these developments offer a path towards a more transparent, controlled and intelligent trade finance operating model.

From Manual Processes to End-to-End Digital Trade Finance

The challenge: fragmented internal workflows

A trade finance request can trigger numerous manual steps. A business unit submits a request for a guarantee, SBLC or letter of credit; Treasury collects documentation, checks available credit lines, selects a financial institution, obtains internal approvals and submits the application. Further clarification, status tracking and spreadsheet updates add to the workload.

Across multiple subsidiaries and banking relationships, these activities create operational complexity, inconsistent information and limited visibility over the overall portfolio.

The challenge extends beyond processing individual transactions. Treasury must also manage outstanding commitments, monitor exposure, forecast fees, track expiry dates and ensure that internal policies are respected.

The transformation: one digital workflow

The first step is to centralize and automate the internal trade finance lifecycle, from the initial business request through approval, issuance, amendment, monitoring and release.

A digital operating model can bring together:

  • Request management: Standardized digital requests for guarantees, SBLCs, letters of credit and other trade finance instruments.
  • Document management: Centralized collection and validation of supporting information, reducing duplicate data entry and incomplete applications.
  • Approval workflows: Automated routing based on internal policies, approval limits and delegation of authority.
  • Financial institution selection: Supporting bank selection according to transaction requirements, banking relationships and available facilities.
  • Credit line and exposure control: Consolidated visibility over facility utilization, available capacity and outstanding commitments by bank, entity, country or instrument.
  • Fee forecasting: Improved monitoring and forecasting of issuance fees, commissions, amendments and renewals.
  • Lifecycle monitoring: Tracking amendments, expiry dates, extensions and releases, with timely notifications.
  • Reporting and audit trails: Consistent records of requests, decisions, documentation and transaction status.

Information can be captured once and reused throughout the workflow, while controls are embedded directly into the process.

The value: control and efficiency

End-to-end digitization reduces manual coordination, improves data consistency and gives Treasury a consolidated view of requests, commitments, exposures and costs.

Business units gain transparency over their requests, approvers can act more efficiently, and Treasury professionals can focus less on administration and more on risk, liquidity, banking capacity and financial optimization.

The objective is to transform trade finance from a series of manual internal tasks into a standardized, controlled and transparent corporate process.

Yet internal automation alone cannot eliminate delays caused by disconnected interactions with external financial institutions.

From Disconnected Communication to Multi-Bank Connectivity

The challenge: a fragmented financial ecosystem

Large corporates typically work with multiple international and regional banks, alongside insurers, brokers and other specialist providers. These relationships support different countries, currencies, subsidiaries and transaction types, but often involve different portals, communication channels and processes.

Requests may be submitted through one channel, supporting documents exchanged by email, and status updates obtained through separate follow-ups. Treasury may struggle to determine whether a transaction is progressing, awaiting documentation or blocked by an outstanding response.

The consequences extend beyond administration. Delayed guarantees can affect contractual deadlines, letters of credit can hold up shipments, and limited status visibility makes it harder to identify bottlenecks or assess provider performance.

The transformation: connected communication and shared visibility

The second step is to connect the corporate’s digital trade finance workflow with its financial institutions.

Multi-bank connectivity brings external interactions into a more consistent operating environment without requiring the corporate to replace its banking relationships or every institution to use the same technology.

Depending on the capabilities of each provider, this can enable:

  • Digital submission: Sending requests, instructions and supporting documentation through available electronic channels.
  • Document exchange: Managing additional information requests and responses within the transaction workflow.
  • Status updates: Consolidating available acknowledgements and transaction progress information.
  • Structured communication: Making bank queries, outstanding requirements and required actions visible to the relevant stakeholders.
  • Centralized records: Maintaining a traceable history of communications and documentation.
  • Performance monitoring: Analyzing available data on response times, processing delays and recurring bottlenecks.

Where supported by the institution and its connectivity channels, information can be exchanged automatically and updates delivered in near real time.

The value: one view across multiple institutions

Connected communication reduces the need to navigate multiple portals and chase updates through email. Treasury gains better visibility over transaction progress and can identify outstanding actions earlier.

Consolidated information can also support more informed decisions about banking relationships, facility utilization, fees and the distribution of trade finance activity across providers.

The principle is simple: centralizing trade finance management does not mean centralizing the banks. It means centralizing the corporate’s visibility and control across its financial ecosystem.

With internal workflows digitized and external communication connected, Treasury can take the next step: using the resulting information to make daily operations more intelligent.

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From Automation to AI-Empowered Treasury

The challenge: turning information into insight

Digitization and connectivity make trade finance information more accessible, but professionals must still interpret documents, compare contractual terms, identify inconsistencies, assess exceptions and determine what action is required.

Applications, guarantees, letters of credit, amendments, bank messages and supporting documents contain valuable information, much of which has traditionally required manual review.

AI can progressively reduce this burden by helping Treasury interpret information rather than simply move it between systems.

The transformation: AI embedded in daily activities

Integrated with digital workflows, structured data and appropriate controls, AI can support Treasury across several activities:

  • Request preparation and validation: Extracting information from documents, identifying missing fields and flagging inconsistencies before submission.
  • Document analysis: Summarizing key terms, comparing document versions and highlighting clauses or changes that require review.
  • Financial institution selection: Helping evaluate potential providers using available information on facility capacity, transaction requirements and internal policies.
  • Exposure and fee forecasting: Analyzing portfolio data to identify trends, anticipate upcoming renewals and support forecasts of commitments and costs.
  • Action prioritization: Highlighting approaching expiry dates, overdue responses, incomplete documentation and transactions requiring attention.
  • Communication assistance: Summarizing bank correspondence, identifying outstanding questions and preparing draft responses or follow-ups.
  • Portfolio insights: Enabling Treasury to query information more naturally, such as identifying major exposure concentrations, upcoming guarantee expiries or transactions experiencing delays.

These capabilities can help Treasury move from reactive administration towards proactive monitoring and decision support.

The value: empowering people, not replacing them

AI does not eliminate the need for Treasury expertise. Trade finance involves financial commitments, contractual obligations and risk decisions that require accountability and judgement.

The most effective model combines AI with reliable data, established workflows, clear approval responsibilities and appropriate human oversight. Routine information processing can increasingly be automated, while professionals focus on exceptions, complex negotiations and material decisions.

For example, an AI assistant may identify a discrepancy in a guarantee request or flag a potential exposure concentration. Treasury remains responsible for validating the finding and deciding on the appropriate action.

This makes the first two sections essential foundations for the third:

Digitization structures the data. Connectivity brings information together. AI helps Treasury interpret that information and act on it.

As these capabilities mature, the Group Treasurer can spend less time coordinating transactions and more time optimizing banking capacity, monitoring risk, controlling costs and anticipating business needs.

One Connected, Controlled and Intelligent Trade Finance Model

The evolution of corporate trade finance rests on three complementary transformations.

First, digitize internal processes to automate requests, approvals, documentation, credit line monitoring, exposure control and fee forecasting.

Second, connect financial institutions to streamline communication, improve transaction visibility and reduce manual follow-ups across banks, insurers, brokers and other providers.

Third, empower Treasury with AI to analyze documents, prioritize actions, anticipate requirements and support better day-to-day decisions.

Each stage builds on the previous one. Digital workflows create structured information; multi-bank connectivity extends visibility beyond the organization; and AI turns that information into actionable insight.

The opportunity is not simply to process trade finance transactions faster. It is to establish a single operating environment connecting internal stakeholders, financial institutions, transaction data and intelligent capabilities.

The destination is a trade finance function that is digital by design, connected across financial institutions and increasingly intelligent in how it supports Treasury professionals. The solution is RIVO™.

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