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Inside Schellman’s journey to provide certification for ISO 42001 AI framework

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As a technology assurance specialist, Top 50 firm Schellman was already well familiar with AI when it captured the public’s attention a few years back. But as clients began making major investments in the technology — and as regulators became increasingly wary of it — CEO Avani Desai knew they would need more support with the increasingly vital matter of AI governance. To this end, the firm embarked on an eight-month journey to become the first ANSI-accredited body allowed to audit and grant certification for compliance with the new ISO 42001 standard on artificial intelligence management systems, which the firm finally accomplished in September. 

ISO 42001 sets out a structured way for organizations to manage risks and opportunities associated with AI, balancing innovation with governance. Desai said that while there have been other AI-related standards, this is a comprehensive framework covering multiple aspects of the technology. 

The rise in AI-related regulatory measures over the last few years — from the White House executive order to the EU AI Act — signaled to Desai that there would soon be a need to work with clients to demonstrate responsible use of the technology through strong AI governance. To this end, the firm decided in January to place extra strong emphasis on the matter, as clients planned to make major AI investments over the next few years. Becoming an accredited certification body for this new ISO standard was a key part of how Schellman planned to support these clients.

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“So, we had to get accredited. It’s not about checking the box or offering another service but all about helping our clients responsibly leverage emerging technology. We want to be a true partner to organizations. We’re not check-the-box auditors. We want to make sure our clients can navigate the opportunities and risks of AI adoption,” she said. 

What followed was a major undertaking that lasted from the beginning of February to around the end of September, working directly with the ISO’s U.S. representative, the American National Standards Institute’s National Accreditation Board (ANAB). The process involved partnering with organizations to audit while the ANAB watched to see if they were capable of acting as a certification body. 

Schellman first partnered with Evisort, an AI-driven contract management company, to undertake the “rigorous, detailed” process that involved auditing the company’s AI governance, then getting and responding to feedback from ANAB and adjusting as needed. This process went through several iterations before then doing it all again with another company, StackAware, which itself is an AI risk solutions provider. Once the audits were done, ANAB then did an office visit where they examined Schellman’s own policies and procedures as well. 

While all this was going on, Schellman was also working to comply with the framework themselves, as the firm deploys its own custom AI tools in its work. “We eat our own dog food,” said Desai, so the firm needed to train its own people in the standard and all the necessary processes, too. 

This was the first time anyone had gone through this process, including the ANAB, and as such it was a learning process for all sides. For example, at first the certification process required companies to make their algorithms transparent, which Desai said few organizations would ever want to do, as algorithms are often proprietary information. 

“At the end of the day, they’re not practitioners. We’re practitioners and our clients are innovators and the last thing that frameworks and laws should do is stifle innovation. So we had to make sure we pushed back on certain things,” she said. 

In this case, the ANAB eventually agreed with Schellman on this issue, as it is a matter of intellectual property, though without algorithm transparency there were questions of how to account for things like bias and hallucinations without revealing proprietary information. 

“So we had this kind of back and forth and that is why [this feedback] is really important. Now I understand why ISO does these witness audits, it’s very important to have the practitioner and operator saying, ‘This doesn’t work, this is physically impossible for us to meet this standard without potentially being detrimental to our business,'” she said. 

Ready to meet demand

With the accreditation now granted, Schellman became the first ANAB-authorized body to provide independent third-party certification for compliance with ISO 420001. So, for example, if a client with this certification is producing large language models, they can tell their own customers that they are meeting global standards and have controls in place for responsible AI. This commitment to responsible innovation can give them a competitive edge, as the certification speaks to a certain level of trust and differentiation in a fast-moving market. 

While technically 42001 certification is now available as a standalone service, Desai noted that modern AI models typically touch other domains like cybersecurity, privacy, operational resilience and data integrity. She anticipates, then, that this will usually be bundled with other certification processes, such as compliance with ISO 27001, which concerns information security. 

There is already significant demand for this ISO 42001 certification. Desai said the firm already has 26 contracts signed with clients who want to undergo the process themselves. People interested in this, she said, generally fall into three categories: those who are building AI on top of their services, AI developers themselves, and those who are building and running their own bespoke models, though she added that it seems everyone is talking about it these days. 

For instance, one client is a very large real estate company with buildings all over the world. They have access to AI systems that can identify how many square feet a tenant actually needs. While she said it does not fit the typical profile, people are concerned about the data collection implications of this AI system and so the company believes certification can help quell some of those worries. 

Desai doesn’t think these sorts of worries will be going away anytime soon, which underscores the importance of certifications like this. The technology is moving fast, and regulations rarely keep up the pace. 

“We went from regular AI to generative AI and now agentic AI — none of these frameworks talk about agentic AI — and I can say people are probably not trained for the next thing… . The way we audit today will be very different from how we audit next year because I think the technology will really change as well,” she said. 

Schellman is currently in the process of getting similar accreditation in the U.K. as well.

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Accounting

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

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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.

 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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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.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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