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Digits touts firm-specific AI models, new partner program

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AI-native general ledger solutions provider Digits announced the release of its AI Firm Models—available exclusively through the new Digits Accountant Partner Program—which are meant to adapt to accounting practices by learning continuously from client data, staff workflows, and firm-specific processes.

Digits CEO Jeff Seibert, in an email, described Firm Models more specifically as predictive machine learning models that learn from a firm’s work across all their clients in Digits and apply those patterns to streamline and automate future tasks. Built, trained, and run on Digits’ infrastructure, each model is uniquely created for and available exclusively to the firm it serves. They are not a new product offering or an add-on to a current product but, rather, an inextricable part of the Digits platform. 

Seibert said that partner firms train their models by onboarding their clients onto Digits and performing cleanup and monthly close work on the Digits ledger. As they take actions within Digits, the model learns immediately and is able to mimic their work as new transactions arrive across their clients. While this is conceptually similar to how Digits’ other models are trained, what’s different is the ability to isolate specific actions taken by the firm and its respective downstream clients to train a dedicated model particular to the firm’s own practices.

Digits booth

“You can think of the Digits AI architecture as a layer cake. At the top are company-level models. These train only on the financial transactions of each individual business or client. Once Digits has seen a transaction pattern for a specific client, it is extremely accurate at replicating that as new matching transactions come in,” said Seibert. 

Usually, when a transaction comes in that doesn’t match the previous pattern on the company-level model, it is passed on to Digits’ global model, which Seibert said has “vast coverage and very high accuracy,” but lacks the ability to capture the unique industry or geographic expertise that accounting firms bring to the table for their clients. The Firm Model is meant to address this. 

“By introducing this new tier of firm model, we offer partners what they’ve been asking us for. Their work on one client now automatically benefits all their other clients, imbuing their best practices across their client base without any manual rules to configure and manage,” he said. 

The Accountant Partner Program, through which firms can get these new models, offers ongoing training, support, and enablement for partner firms, both for their model, as well as their overall usage of Digits with their clients. Beyond the models, participants in the program will also be able to access streamlined client onboarding and centralized client activity with real-time visibility and staff access controls; flexible wholesale pricing that scales with client growth, plus free use of Digits for each firm’s own books; hands-on onboarding, client migration support, and a dedicated success team; and AI-native workflow training for staff at all levels, plus a Coaching Certification program for firm leaders. Also, Digits will work closely with partner firms on an ongoing basis to tune their models and drive accuracy improvements.

The firm model is available to firms of any size that serve at least 50 clients on Digits, with Seibert explaining that transaction volume ensures the model will have strong coverage and accuracy. He added that the model continues to expand and get smarter with every additional client added onto Digits, which makes the offering uniquely powerful for very large firms. For firms that serve multiple distinct sets of clients in different practice areas, Digits will also offer the option to train individual firm models for each practice area (of 50+ clients), so that the patterns and expertise don’t get diluted or confused across the breadth of the firm’s client base.

“We’re ushering in a new era of accounting,” said Seibert in a statement. “Our Accountant Partner Program gives firms direct access to the latest in AI technology—such as our new Firm Models—tools designed and built to automate the tedium, unlock deeper insights, and deliver on the promise of AI-native workflows.”

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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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