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AI in advisory: Estate planning

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Estate planning, like any advisory service in the accounting world, is concerned with dollars and cents. But, like other advisory areas relatively resistant to AI disruption, it is also concerned with human relationships and feelings connected with what is typically understood to be a very emotionally sensitive topic: death. It’s not even a question of whether or not AI could do an estate planning engagement on its own but whether the client would even want it to. David Nelson, an estate planning specialist with top 25 firm Aprio, noted that the highly personal nature of estate planning means it would be difficult to consider AI taking over the process. 

“Some mathematically driven fields may see automation sooner. Estate planning, however, is highly personal. At the end of the day, you’re sitting down with someone to talk about their mortality. There’s intrinsic value in human interaction for discussions like that,” said Nelson. 

Nelson himself said he has been using AI primarily as a way to synthesize information sources in order to produce an analysis of the tax ramifications of a given plan, which in turn also helps with developing plans based on the data they find. He also uses it to analyze documents, particularly long and dense ones, that can help spot issues that the humans missed, such as contradictions in the plan itself or conflicting effects from its various provisions. 

Review of investment plans and funds for the purchase of assets and real estate.

Overall, Nelson treats AI as a research tool. Looking at his field overall, he said that the estate planning world has picked up the technology, but not as deeply or as fervently as other specializations. People use AI tools fairly regularly for analysis or plan development, but it’s not a dominant part of the practice. It is not even used in the calculations. While no one is using paper and pencil to determine estate tax implications, professions are still mostly using “legacy number-crunching software.” Part of this might be because, so far, he has not seen an AI model that can perform the level of analysis he and professionals like himself do regularly. “On our end, AI is still a tool to guide analysis. But as far as I’ve seen, AI can’t yet produce the kind of comprehensive analysis we need. For example, if a client comes in with an estate plan that includes various assets—an S corporation, marketable securities, a C corporation, and trusts to hold portions of those assets—the tax implications of each are different. The complexity increases when you factor in a trust as an owner. AI isn’t yet able to aggregate and synthesize all of those issues into a cohesive analysis,” he said. 

(See our feature story, “Staying ahead of AI.”)

Hanna Dameron, an attorney with law firm ArentFox who has spoken at accounting conferences on the role of AI in estate planning, added that AI is not at the point where it can understand the complex human relationships and social factors that drive many engagements. She said you could take two different clients with the exact same assets and the exact same number of children and there may be 15 different plans that could be appropriate for them depending on things like how they feel about their various family members, how they view future investments, how they want their children to access their money, and more. Walking clients through this requires the emotional intelligence to understand their goals and explain to them in plain language how they could make a plan to accomplish them. She did not feel confident AI would be able to handle these emotional complexities just yet. 

“Estate administration is a very emotional process. If you have the family members squabbling over who gets grandma’s painting, you can certainly see a need for a human to come in and help mediate those disputes. But it’s also just the emotional process of ‘somebody’s got to go through the boxes and figure out where this asset might be’ or ‘there’s an insurance policy we never heard about. How does that make me feel that this family member never told me about that insurance policy?’ So, it’s not just dealing with the administration of dollars and cents. You’re looking at a deep financial portrait of somebody’s life and what they’ve left behind. And there can be a lot of emotions and questions that come up in that,” she said. 

(Read more: AI in advisory: What work is at risk?)

She noted that she speaks from experience, having shifted into estate planning after the death of her own mother and being the executor of her will, which was a difficult experience both emotionally and administratively. 

 “It made me feel very passionate about helping families set up a plan and then administer the plan with compassion and emotion. So, I think, when somebody is in a grieving state, of course, they want somebody to talk to, not just about sorting out what they’re dealing with, but also dealing with a legacy,” she said. 

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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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