Connect with us

Accounting

Synapse crisis aftermath shows ledgers are key

Published

on

Synapse, a banking-as-a-service (BaaS) company, filed for bankruptcy in April of this year after a year of financial and operational challenges, including disputes with its banking partners, two rounds of layoffs, and an incident where many Synapse customers were unable to access their accounts.

The Chapter 11 trustee appointed to oversee Synapse’s bankruptcy has struggled to reconcile all funds, with potential shortfalls between $65 million and $96 million. Partner banks have made progress in distributing funds, but significant discrepancies in Synapse’s records complicate full reconciliation efforts. According to a recent status report filed by the trustee, full reconciliation may be impossible.

This development has shed light on a troubling phenomenon: many cutting-edge fintech companies, which bring much-needed disruption to a sector that has stagnated for decades, still lack the essential infrastructure to effectively reconcile transactions, track funds, and maintain visibility into their ledgers.

Synapse’s crisis underscores this pervasive issue in fintech and highlights the urgent need for investment in technology and automated processes.

A Prevalent Problem

The Chapter 11 trustee has encountered significant challenges in reconciling funds and ensuring accurate distribution to customers. These efforts have been hampered by missing data and uncooperative former employees.

Despite making some progress in distributing funds from demand deposit accounts (DDAs), the trustee faces substantial hurdles in reconciling more complex “for benefit of” (FBO) accounts, where discrepancies in Synapse’s records have complicated efforts. Partner banks have identified numerous discrepancies in Synapse Brokerage’s program ledgers, further complicating the reconciliation process.

These challenges are not unique to Synapse and underscore a broader issue within the fintech industry: the struggle to maintain robust financial infrastructure capable of reconciling transactions and safeguarding customer funds. 

Despite their commitment to tech-driven efficiency, many large fintechs face significant challenges when it comes to managing key tasks such as reconciling payments and maintaining accurate ledgers. As these problems persist, they draw greater scrutiny from regulators, potential banking partners step back, investors raise more questions and most importantly, fintechs lose the most critical thing for every company that handles money – consumer trust.

Reconciliation and Ledgering Challenges

Why exactly are these seemingly standard financial processes so difficult?

First, fintech companies – and most businesses in general – lack the necessary technology to handle reconciliation at scale. While fintechs are known for digitizing and automating their own services and products, most of them tend to rely on antiquated manual systems to manage internal processes such as reconciliation, using Excel held together by a patchwork of macros and SQL scripts. Many companies delay addressing this issue until it becomes unmanageable.

Second, these fintechs handle extremely high volumes of transactions and complex flows of funds —e.g., pay-ins and pay-outs and a growing number of data sources connected to each flow of funds (banks, PSPs, ERPs, billing systems, internal databases etc.) – which further complicates ledger management. The risk of error increases exponentially, and when something goes wrong, simply tracking a single transaction and identifying the break in the chain can be a Herculean task.

And third, even if an individual company has a strong handle on its internal ledgering, there’s still the risk that its partners’ or customers’ bookkeeping standards may not meet the same level of rigor, potentially leading to inconsistencies when multiple companies collaborate.

The Stakes of Inaccurate Ledgering

In Synapse’s case, these challenges converged to deliver the final blow. The trustee’s inability to reconcile accounts exacerbated internal financial issues and disputes with key partners, exposing gaps that have strained Synapse’s relationships with customers, partners, investors, and more.  Due to the high stakes, accurate reconciliation is crucial for fintech companies. Losing track of customers’ money diminishes trust and business viability. Without the ability to track funds, protecting customers’ financial security becomes impossible.

With Synapse’s recent shortcomings bringing these issues under the spotlight, regulators are beginning to impose even stricter oversight over fintechs and their partner banks. Companies that fail to effectively manage their ledgering and reconciliation processes risk severe consequences, including financial losses, reputational damage and harming their relationships with partner banks.

The Solution: Technology and Automation

Though the finance operations sector has long been neglected, a new generation of tools is available to help fintech companies manage reconciliation and ledgering more effectively. These advanced technologies can handle high transaction volumes and complex fund flows, providing real-time visibility, a high level of accuracy, and operational efficiency.

To avoid the pitfalls experienced by Synapse, fintech companies should, first and foremost, prioritize minimizing or eliminating the risk of losing track of customers’ funds. This requires  investing in advanced technology that seamlessly integrates into their operations, automates critical processes, and streamlines operations prone to inconsistencies and discrepancies. 

Automated reconciliation systems offer several benefits, beginning with real-time accuracy. These systems ensure that transactions are accurately matched and discrepancies promptly identified, reducing the risk of errors. Automated reconciliation also streamlines financial processes, minimizing the manual workload. This not only frees up employees to focus on more pressing tasks but also enables more efficient scaling of operations, while reducing the number of human errors.

The ability to maintain accurate and transparent financial records in real time will bolster customer trust and loyalty and ensure compliance with financial regulations by providing accurate and timely financial data.

Another advantage is resilience and adaptability. Automated systems can quickly adapt to changing financial environments and regulatory requirements, providing a stable foundation for growth.

Learning from Past Mistakes

Though difficult for those involved, the Synapse crisis ultimately offers hopeful lessons for the fintech industry. Investing in technology and automation is crucial to prevent similar crises and secure long-term success. These investments are essential for maintaining accurate financial records, building customer trust, ensuring regulatory compliance, and achieving operational efficiency. By learning from Synapse’s challenges and embracing advanced technology to mitigate them, fintech companies can safeguard their operations and position themselves for future success in an industry where competition continues to be fierce.

Continue Reading

Accounting

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Published

on

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.

The expansion shifts ESG compliance

This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.

To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.

The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.

Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.

Continue Reading

Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

Published

on

U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

Continue Reading

Accounting

AI-Driven Automation and Continuous Accounting Frameworks

Published

on

The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

Continue Reading

Trending