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How generative AI is reshaping business valuation

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Anthropic, the company behind Claude, predicted that AI could replace up to 50% of entry-level jobs in fields like finance, consulting, and technology within the next five years. 

As machines become more capable, it’s becoming widely accepted that many of these roles will at least be augmented by AI. In my experience working with generative AI tools, chatbots like ChatGPT or Perplexity have been very helpful with toilsome tasks like summarizing documents, cracking Excel formulas, and occasionally teaching me how to cook a steak after work.

Valuation professionals have long relied on spreadsheets, manual data entry and judgment-heavy workflows to deliver fair value conclusions. Whether it’s a valuation of business entities or financial instruments, the process often combines fragmented documents, customized spreadsheets, and many hours of manual work.  Generative AI models may start to change that by streamlining repetitive tasks and enabling professionals to focus more on high-value analysis.

From grunt work to generative workflows

A significant portion of a junior analyst’s time is spent on interpreting shareholder documents, updating the capital tables, and drafting valuation memos, which are all well-suited tasks that could be augmented by generative AI.

For instance, a key step in performing a 409A valuation is to understand the distribution waterfalls stated in the shareholder agreements. Locally hosted AI models on the laptop, like Ollama, can now ingest legal documents, extract relevant clauses, and output structured and actionable summaries. A locally hosted model also enhances data confidentiality, compared with cloud-hosted models like ChatGPT. Analysts can now focus on reviewing AI’s output for accuracy rather than getting buried in the minutiae.

AI-generated models for complex security valuations

There are several benefits of building valuation models in Excel, including intuitive visuals and ease of internal review. While AI can generate complex Excel formulas in seconds, the current Excel Copilot is limited to mostly text-based assistance. However, when valuing complex financial instruments such as restricted stock units or options with market and service conditions, modeling the underlying instruments in Python or other languages often produces cleaner and higher performance models. 

Generative AI can interpret the legal documents that define characteristics of the underlying instruments and create actionable modeling plans. For example, if valuing restricted shares which will vest based on whether the 10-day average stock price meets a certain dollar threshold, generative AI is fully capable of modeling these in Python and producing the relevant visuals to be used in the valuation report. A Monte Carlo simulation that might take several hours to run in Excel using Oracle Crystal Ball can often be executed in seconds using a Python model generated by AI.

Training generative AI on historical deliverables

Drafting valuation reports and audit memos often consumes a disproportionate amount of analyst time, given these documents usually follow a specific structure, tone and compliance language. By training generative AI models on a firm’s historical deliverables, it’s now possible to automate the first draft of these documents that aligns with a firm’s established standards.

For example, a generative AI trained on prior valuation reports or memos can learn preferred formatting, phrasing and disclosure language. By providing key inputs like company financials and financial model outputs, the AI model can generate a draft that resembles the firm’s voice and formatting conventions. This doesn’t eliminate the need for human review, but it significantly reduces the effort required to go from financial model outputs to client-ready deliverables.

What this means for the profession

Will business valuation work be fully automated by AI? Unlikely in the short term. Human judgment remains central in the profession. But the nature of the work is evolving.

Tomorrow’s valuation specialists will need more than financial expertise; they’ll need to understand prompt engineering, strengths and limitations of AI tools, and integrate them effectively into their workflow. The teams that embrace this shift early will not only be more efficient, but also be better positioned to meet client deadlines and deliver defensible work products.

As we move into this new era, one thing is clear: spreadsheets are no longer the final frontier of valuation. AI isn’t here to replace valuation specialists — it’s here to take the tedious parts of the job off their plate.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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