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How AI is forcing a rethink of services, skills and pricing

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The part of my job I love the most is speaking with accounting professionals each week, and connecting with the small and midsized businesses we jointly serve. Lately, those conversations have been pointing me toward the same conclusion: what triggers a business to engage with a firm is changing. 

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Business owners trust their own instincts more when their work is augmented with AI. Compliance events are still the primary trigger for SMBs to consider working with an accounting professional, but as compliance tools mature their use of AI, SMBs are holding on to the accounting work longer. By the time they reach out, they either need a lot more clean-up work, or they’re ready to scale and looking for a strategic partnership with an advisor.

A fundamental shift for the profession

The accounting community is focused on how AI is changing what accountants do. But the more central truth, considering the shift in the way SMBs are operating, is that AI is changing what accounting professionals are for.

For decades, the value of an accounting professional was providing highly consequential, expertise-driven, time-consuming work that business owners simply couldn’t do while running their businesses. The model worked because it was genuinely hard to operate a new business and manage compliance at the same time.

Now, routine tasks that used to anchor billable hours are getting compressed into minutes. Clients defer bringing an accountant on until later, and when they do, the ask is bigger. Yes, they want to outsource financial operations, but only to someone whom they can trust to guide them.

New research from Bill puts it plainly: 87% of accounting firms plan to expand into new services — tax planning, client advisory services, business consulting, fractional CFO work.

This is not a small pivot. It’s a fundamental rethink of what firms are selling, and to whom.

The services AI makes possible

Here’s what I find most interesting about this moment. Every past wave of technology — paper to PC, PC to web, web to cloud, cloud to phone — left firms asking themselves the same question: how do we leverage this for efficiency? They’re asking themselves that same question about AI too, but there is also a second question they’ve got to grapple with. Because of the scale of efficiency firms are poised to benefit from, once automation is doing its job, what are you actually offering? 

Consider what happens when processing a vendor bill drops from 15–20 minutes to just one minute, as it has for firms like Belay that redesigned their AP workflows around AI. What they’ve done is create capacity in a way that doesn’t keep them beholden to a talent pool that just isn’t out there.

Advisory is the assumed answer, and it’s the right one, but for plenty of firms it still feels abstract. They can see the destination but not the road from where they stand.

The way I’ve seen firms find that road depends on the services they’re already delivering. Firms offering CAS, for example, can also help clients design budgets, manage cash flow and set KPIs that guide decisions. AI can surface patterns and anomalies. The firm steps in to frame what they mean and what to do next.

In tax and strategic planning, instead of a relationship centered on a once-a-year filing deadline, I see firms using always-current financials to model scenarios, smooth tax liabilities over time, and advise on things like compensation strategies. AI can support forecasting and what-if analysis, while professionals evaluate trade-offs and risk.

New skills for a new mandate

In our research, roughly two-thirds of firms said they expect the skills they need from their people to change meaningfully in the next few years. Emerging priorities include:

  • Data interpretation and storytelling: Turning AI-generated reports into clear recommendations. The insight is only as valuable as the conversation it sparks with a client.
  • Systems thinking: Understanding how tools connect across AP, AR, spend, payroll, banking and the general ledger — and designing workflows that hold together as an integrated system, not a collection of point solutions.
  • Client education: Helping clients understand new processes and trust what’s happening behind the scenes. As firms adopt AI-driven workflows, the clients who understand and trust the automation get more value from the relationship.

Pricing for outcomes

The firms I find most interesting right now are the ones questioning their billing models outright.

Hourly billing made sense when effort was the primary input. As automation improved, the community started to shift toward value-based billing. Now AI is compressing effort even further, and billing by the hour is starting to work against firms, both economically and in terms of how clients perceive what they’re getting.

Subscription models and outcome-based pricing are gaining ground for exactly this reason. The firms making this shift aren’t just changing how they invoice. They’re changing the conversation from “what did you do for me?” to “what did I gain from working with you?”

Building a transformation roadmap

None of this has to happen all at once, but it does have to start. A pragmatic roadmap might begin with auditing your current services and workflows. Begin by identifying manual, low-margin or error-prone work and flag it for automation or retirement.

Next, standardize your core tech stack. Choose integrated platforms for AP, AR and spend, alongside your general ledger, and commit to them across the firm.

Then, pilot one or two new advisory offerings. Select a segment of clients who are open to change, define a clear value proposition, and experiment with packaging and pricing.

Lastly but most importantly for long-term impact, invest in people and training. Develop your team’s analytical, communication and systems skills so they can step into more strategic roles as transactional work declines.

Key takeaway

AI will likely result in business owners holding on to more of the work, for longer, before they feel the weight of it. But they will feel it. And when they do, the question won’t just be whether to bring in a firm. It’ll be whether the firm they bring in is worth it.

The steps above aren’t just about automating workflows to create capacity for advisory. They’re about building a firm whose value is so clearly tied to client growth that the answer to that question is never in doubt. The kind of firm where holding on would have held the client back, and the partnership is what moved them forward.

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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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