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Crowe announces firmwide collaboration with OpenAI

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Top 25 firm Crowe announced a firm-wide integration with the ChatGPT Enterprise product, which offers a wider range of automation capabilities as well as increased model performance. 

“To be a leader in the application of AI, we must be aligned with the leaders and innovators in the AI space—and OpenAI is a widely recognized leader,” said Steven Strammello, Crowe CEO. “It is impossible to overstate the value AI will bring to businesses and, by leveraging OpenAI’s industry-leading research and technologies, our people will be better equipped to stimulate innovation and drive valuable outcomes for our clients.”

Under the agreement, Crowe will “deeply adopt” ChatGPT Enterprise. Specifically, this means that a significant portion of its market facing personnel are now licensed directly to ChatGPT Enterprise, with the remaining having curated access through the OpenAI API, said a spokesperson.

The firm will also use its OpenAI access to develop new applications tailored for industries such as private equity, healthcare, financial services, manufacturing, and more using OpenAI’s APIs, as well as find new operational efficiencies for the firm itself. Nearly all of these solutions, said the spokesperson, will be designed and architected in concert with their clients, with OpenAI technical leadership providing guidance (which includes proactive learning/adoption of emerging OpenAI technologies.) The spokesperson said the firm will not be a reseller of OpenAI product licensing, nor did they enter any kind of revenue sharing agreement.

The partnership also has a training and educational component. Crowe said it will also host collaborative webinars, events, and forums with OpenAI for employees to explore the evolving role of AI across sectors. The firm will also collaborate with OpenAI on AI training programs to promote a future shaped by advanced technology. 

Finally, Crowe said they will advocate for responsible AI integration aligned with OpenAI’s mission and Crowe’s commitment to governance and accountability as well as support organizations in building trust with stakeholders by implementing transparent and responsible AI practices.

“OpenAI is at the forefront of AI technology, and the true value of AI comes from how it’s strategically integrated to solve specific business challenges,” said Doug Schrock, AI managing principal at Crowe. “By integrating OpenAI, we have significantly strengthened our purpose-built approach to match the potential of AI with our clients’ unique business needs.”

Crowe has embraced AI and has made big investments in its potential. In October last year, the firm announced announced a major expansion of its Artificial Intelligence Center of Excellence, effectively doubling its size through the addition of three newly established teams fully dedicated to AI pursuits. Specifically, the center now boasts AI Lab, AI Engineering and AI Enablement teams. The three teams will work with clients to advise and assist them on AI in a holistic way. The AI Lab explores new technologies and use cases, and develops proofs of concept for clients. The AI Engineering team — staffed with engineers and data scientists — facilitates the development of purpose-built AI solutions and products for clients’ specific use cases. And the AI Enablement team focuses on implementation of solutions, change management and education. 

Crowe’s approach to AI is centered around helping clients with four key aspects of AI adoption: AI data curation and quality, AI governance, AI transformation, and the development of bespoke AI tools and solutions.

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Accounting

FASB Standardizes Carbon Offsets Accounting Rules

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FASB Standardizes Carbon Offsets Accounting Rules

In a decisive move toward standardized environmental financial reporting, accounting standards boards issued updated implementation guidance during the week ending July 25, 2026, regarding the formal recognition and valuation of corporate carbon offsets and environmental credits. The revised frameworks establish precise rules for how enterprises must measure, record, and disclose carbon credits on balance sheets, eliminating years of inconsistent reporting practices across public capital markets.

Under the finalized accounting standard, purchased carbon offsets can no longer be categorized under vague administrative expenses or unstandardized intangible asset accounts. Instead, organizations must classify environmental credits based on underlying operational intent—distinguishing between credits held for immediate compliance compliance obligations, long-term offset obligations, or active market trading. Furthermore, companies are required to evaluate carbon holdings for fair value impairment at the end of each reporting period, ensuring that depreciated or low-quality environmental credits do not distort corporate asset values.

The standardized rules carry significant implications for corporate audit committees and chief accounting officers. External audit firms are implementing rigorous verification protocols to validate the physical legitimacy, legal ownership, and scientific permanence of carbon credits claimed on balance sheets. Inaccurate or overstated carbon accounting claims now carry substantial financial litigation risk, alongside potential regulatory enforcement for misleading ESG disclosures.

To remain fully compliant, corporate accounting departments must establish centralized carbon tracking systems integrated into primary standard ERP ledgers. Accounting teams that proactively adopt standardized environmental reporting protocols will build investor credibility, streamline annual audit processes, and insulate their organizations against evolving regulatory scrutiny.

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Accounting

Automated Tax Compliance Tools Reduce Risk

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Automated Tax Compliance Tools Reduce Risk

Corporate tax departments reached a critical juncture in automated operational management. With nations worldwide rapidly enacting digital service taxes, localized value-added tax (VAT) mandates, and real-time electronic invoicing requirements, manual tax calculations have become obsolete. Modern corporate tax divisions are aggressively deploying AI-driven tax engine software to automate complex cross-border indirect tax calculations in real time.

The imperative for automated tax compliance stems from the sheer complexity of current trade policies and multi-jurisdictional commerce. E-commerce platforms, software vendors, and global manufacturers face constantly changing regional tax rates, statutory exemption rules, and cross-border tariff structures. Automated tax engines embed directly into enterprise enterprise resource planning (ERP) architectures, automatically applying correct tax codes at the point of sale, calculating real-time withholding amounts, and generating compliant e-invoices.

Automated audit trail generation represents another key advantage of modern tax tech integration. Advanced compliance platforms log every transactional tax determination on immutable digital ledgers, providing tax authorities with transparent, self-verifying audit trails. This capability drastically reduces the operational duration and administrative cost of corporate tax audits, protecting enterprises against severe penalties resulting from calculation errors or missed reporting deadlines.

For chief financial officers and tax directors, investing in automated tax compliance is a vital operational risk mitigation strategy. Automating routine tax calculations frees high-level accounting professionals to focus on strategic tax planning, transfer pricing optimization, and risk management in an increasingly complex global economic environment.

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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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