Truist Launches AI-Enabled Receivables Platform for Corporate Clients

Truist Financial Corporation — one of the largest commercial banks in the United States — has launched a new AI-enabled integrated receivables platform designed to help commercial and corporate clients automate and modernise frontline financial operations, reduce manual effort, improve cash visibility and accelerate key cash application processes.

Announced on February 3, 2026, the platform represents a significant step in the application of artificial intelligence and machine learning within corporate finance functions — bringing automation to long-standing pain points such as payment reconciliation, cash posting, remittance matching and exception handling.

At a time when finance teams struggle with manual processes, fragmented data and slow cash conversion cycles, Truist’s new solution aims to modernise how companies manage incoming payments and receivables workflows.

Why Corporate Receivables Matter

For many medium-sized to large enterprises, accounts receivable (AR) and cash application are among the most labour-intensive and error-prone parts of the finance operation. Traditionally, receivables teams manually match bank transactions — whether checks or electronic payments — to open invoices, collect remittance data from disparate sources, and resolve exceptions when information is missing or inconsistent.

Industry data underscores the severity of the problem:

• Around 45 % of CFOs report significant disruptions due to invoice errors that delay payments and cash flow visibility.
• Nearly 70 % of corporate treasurers struggle with receivables collection and reconciliation delays that slow working capital cycles.
• In many sectors, manual remittance processing can consume more than 5 % of the total payment amount, eroding margins and operational efficiency.

In this context, corporate finance teams are increasingly seeking intelligent automation tools that can reduce errors, shorten posting times, and improve overall liquidity management. The Truist platform is built to do exactly that.

How Truist’s AI-Enabled Platform Works

At its core, the new AI receivables platform uses machine learning and rule-based automation to:

• Automatically match incoming payments to outstanding invoices across various payment types — from checks to electronic rails — with far less manual intervention.
• Unify payment and remittance data into a centralised repository that gives finance teams a real-time view of receivables.
• Accelerate cash application workflows by extracting and ingesting remittance information using “smart remittance capture,” including parsing remittance details from emails or payment records.
• Connect seamlessly with ERP and accounting systems, enabling straight-through processing and integration with existing back-office platforms.
• Automate exception handling and reduce manual reconciliation, lowering operating costs and enabling finance teams to focus on higher-value analysis and decision-making.

The platform also includes user entitlements and access management features that help control permissions and mitigate fraud risk — a key consideration as finance teams modernise digital infrastructure.

By combining automation, machine learning, and enterprise connectivity, Truist is positioning its solution as not just a tool for receivables processing, but a strategic cash management enabler that contributes to improved working capital and enterprise performance.

A Shift Toward Real-Time Corporate Cash Operations

One of the most powerful aspects of Truist’s new platform is its emphasis on centralising cash visibility and real-time analytics. Traditional receivables processes often leave finance teams in the dark until several days after payments arrive, with manual work extending days sales outstanding (DSO) and impairing cash forecasts.

Truist’s integrated solution, by contrast, aims to:

• Deliver up-to-date visibility across all incoming payments
• Shorten the time between receipt and posting
• Improve working capital metrics and operational agility
• Provide centralised dashboards and reporting that finance leaders can use to track key performance indicators and trends in real time

For corporate treasurers and controllers, this real-time perspective is increasingly essential in a business environment where liquidity planning and cash forecasting are under heightened scrutiny.

AI and Learning: Reducing Friction at Scale

Unlike rule-only systems of the past, Truist’s AI-enabled platform has the ability to learn from historical payment patterns, improving its matching logic over time and reducing exceptions even further. This “learning” aspect is part of a broader shift in corporate finance toward intelligent automation, where systems not only execute tasks but also refine workflows based on business behaviour and data trends.

According to experts, this approach represents a leap beyond static automation:

AI models can recognisably adapt and anticipate how certain customers are likely to pay or what remittance patterns hold, reducing the error rates and manual touches required for reconciliation.

This means that, over time, the system becomes smarter — with higher auto-match rates and fewer exceptions to resolve manually — ultimately freeing up finance personnel to focus on strategic priorities like forecasting, scenario planning, risk management, and relationship management.

Integration with Existing Systems and Workflows

A key reason for early adoption and interest among corporate clients is ERP connectivity. Modern finance teams rarely operate in isolation; they rely on enterprise resource planning platforms like Oracle, SAP or NetSuite to manage financial data and workflows.

Truist’s solution is designed to plug into these existing environments, enabling:

• Straight-through processing from payment receipt to invoice posting
• Automated data transfers into accounting systems without manual import/export
• Reduced errors due to system handoffs or legacy file formats
• Enhanced financial reporting accuracy across platforms

This integration reduces friction for finance teams and allows companies to maintain their existing technology stacks while layering on advanced automation capabilities.

Strategic Positioning and Broader Market Trends

Truist’s launch of an AI-enabled receivables platform is part of a broader trend among banks and financial services firms investing heavily in automation and AI to serve corporate clients. Beyond Truist, major banks such as Wells Fargo and global fintech providers are deploying similar technologies to modernise receivables, collections and cash management.

However, Truist’s solution stands out for its emphasis on centralisation, real-time analytics and enterprise integration — offering a holistic approach rather than point solutions focused solely on one aspect of receivables. By bringing together payments, remittances, reconciliation and reporting into a single platform, Truist is responding directly to finance leaders’ calls for consolidation and visibility.

The launch also builds on Truist’s broader push into AI-driven solutions across its business lines — including appointments of specialist AI leadership earlier in the company’s transformation journey.

What Clients Are Likely to Experience

Early adopters and pilot participants are likely to see several measurable benefits:

• Significant reduction in manual data entry and reconciliation tasks
• Faster cash posting and shortened DSO
• Improved remittance accuracy and fewer exceptions
• Real-time cash flow visibility
• Lower operational costs due to automation
• Enhanced data integrity and fraud controls

For corporate treasurers, controllers and finance executives, these improvements can translate into healthier working capital positions, stronger liquidity planning and a more strategic role within their organisations.

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