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Google Cloud pens deals with Deloitte, PwC, Intuit

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Big Four firms Deloitte and PwC, and business software provider Intuit, each announced separate deals with Google to access the tech company’s cloud infrastructure and artificial intelligence capacities. 

Intuit today announced a new collaboration with Google Cloud to expand support for common tax forms. Specifically, the company will be integrating Google Cloud Document AI technology as well as Google Gemini-based AI models into Intuit’s GenOS AI architecture. 

This will allow Intuit to expand the number of forms it can support with AI. Specifically, AI can now automatically populate the 1099-B, 1099-COMP, 1099-OID and Form 1040 along with Schedules 1, 2, 3, A, C and E, which can all vary in complexity. 

Intuit highlighted in particular the ability of the AI to now automatically extract data for stock, bond and crypto investors. The changes mean no longer needing to spend time navigating multiple screens per document and filling in 10 fields (depending on the number of transactions per brokerage), or manually transcribing data from multiple brokerage forms (which can vary significantly by format, verbiage, etc.) when preparing taxes.

“This tax season, we’re delivering on Intuit’s promise to millions of TurboTax customers to do the hard work for them—so they don’t have to,” said Intuit chief technology officer Alex Balazs. “Our collaboration with Google Cloud is making a big difference in the day-to-day lives of consumers this tax season. It’s a shining example of how we’re harnessing the power of Intuit’s AI, data and tax domain expertise—with world-class Google Doc AI and Gemini technology—on our GenOS to deliver breakthrough done-for-you experiences at scale. I’m fired up about our results to date, and excited about what the future holds.”

Deloitte

Big Four firm Deloitte announced it is expanding its already existing partnership with Google Cloud and AI business solutions provider Service Now in order to increase its own AI capabilities. As part of this expansion, Deloitte is introducing a suite of over 100 ready-to-deploy agents powered by Google’s Gemini models and Agentspace.

These agents are designed for a broad range of tasks across various industries and business functions, including customer service, procurement, technical, marketing, sales, legal and human resources. Industry-specific agents are also available for health care, consumer and financial services. The new agents include a contract redlining agent that can understand legal jargon when reviewing contracts and provide AI-powered insights and recommendations on how to optimize. A credit loan automation agent can auto-populate loan and credit documents with curated data and intelligence reports. A data transformation agent automates multiple steps in data engineering workflows, such as producing optimized BigQuery code or developing test cases.

“Clients are getting flooded with information about agents, and while they are interested, they often don’t know where to begin. That’s where we come in,” said Jason Salzetti, chair and CEO of Deloitte Consulting. “This is our largest investment yet with Google Cloud to provide a clear, structured path for businesses to adopt and scale agentic AI. With collaborations like Google Cloud and ServiceNow, we aim to be a one-stop-shop for clients to reimagine their operations, driving innovation and enhancing productivity across their entire enterprise platforms.”

Deloitte is also partnering with Google Cloud and ServiceNow to advance a new standard for AI agent interoperability, A2A, which will enable agents on any platform to securely interact, exchange information and coordinate actions. Deloitte and ServiceNow are already using this protocol on Google Cloud to build a unified agentic experience for field management. Organizations can resolve customer queries about late orders with integrated AI agents working across Google Cloud and ServiceNow. These AI agents will pull customer data from multiple sources like CRM, procurement and logistics to provide a unified view and recommendations.

PwC

On Monday, Big Four firm PwC announced its own collaboration with Google Cloud as part of a multiyear agreement to advance tax compliance services. Broadly, the collaboration will involve joint programs, such as recurring regional events, to proactively find and produce solutions to common client challenges.

Specifically, the collaboration builds on the existing Tax Control Centre collaboration — now known as Data Controls Engine — which provides real-time visibility into tax and finance data quality via control checks, exceptions testing and reconciliations. As part of the deal, the Data Controls Engine will feature a brand new AI agent from PwC for tax, focused on exception validation. This agent is underpinned by a suite of client-determined procedures that are tiered in accordance with their risk and materiality. Further, PwC will work with Google Cloud to embed a specific systematic set of agreed-upon tax data procedures to provide clients with a structured way of obtaining assurance over the quality, completeness and accuracy of not only their existing data but the broader data sets that are needed for new areas of compliance. 

“We are pleased to announce our  alliance with Google Cloud, which represents a significant step forward in transforming tax compliance services for our clients globally,” said Brad Silver, head of global tax and legal services for PwC, in a statement. “By leveraging Google Cloud’s cutting-edge technology and PwC’s deep knowledge in tax, risk and regulatory matters, we are confident that this collaboration will deliver unparalleled efficiency and innovation. Our joint efforts will empower clients with advanced tax data controls, seamless compliance solutions and a structured approach to ensuring the quality and accuracy of tax data using innovative AI and agentic AI capabilities.”

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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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