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Intapp announces enhancements to Time, Walls and Assist products

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Professional services solutions provider Intapp, during its Intapp Amplify event in New York City on Feb. 26, announced improvements and upgrades to its solutions for time and billing, cybersecurity and AI assistant. 

Intapp Time

Intapp Time, the company’s time tracking and billing solution, now sports an improved interface in a new, modern web experience, said Beth Cuzzone, vice president of growth marketing during her presentation. 

It also now sports an AI-driven activity log that automatically captures and lists all the user’s daily work activities, allowing them to easily and quickly complete timesheets without things like forgetting about weekends or teleconferences between meetings, as the software captures it all for them. Cuzzone also pointed out a new feature called Quick Add, which allows people to voice dictate what they are doing, and Intapp’s AI can turn that voice into text, and that text into a draft timesheet that is checked for compliance with client billing requirements. 

“Here, you can see the draft time entry includes the word ‘reviewed’ in the narrative. The client does not allow this language in the narrative and will likely reject the invoice. The AI highlights the word or phrase with a warning message, indicating an issue, and even suggests alternatives that comply with the client’s billing requirements,” she said. 

The AI offers a list of acceptable suggestions in cases like this, and if the partner wants more information they can review the guideline that triggered the warning in the first place. Cuzzone noted that timing errors may not seem significant at first, but even the smallest amount of bill and time leakage can have cascading effects on a firm’s revenue. Intapp time, she said, is intended to mitigate this challenge.  

“Intapp’s applied AI, firms can realize millions of dollars they otherwise would have lost. This also supports strategic growth and impacts profits for partners—all by leveraging the data you already have and without requiring professionals to do anything differently,” she said. 

The new Time experience will be released this summer. People can either keep using the existing desktop app or use the new web experience. They also plan to make it available on their mobile app eventually as well. 

Intapp Walls

Meanwhile, Intapp Walls, the company’s data privacy solution, was also enhanced with AI in cooperation with Microsoft, according to Richard Bowes, senior compliance growth director with Intapp who, previously, spent eight years at Microsoft. He said that Walls is designed for CIOs who want to bring the capabilities of AI to end users, but also need to protect against threats and inappropriate internal access, noting that it can be easy to unintentionally overshare. Walls is meant to put up, well, walls that ensure Copilot and AI only reveal the right information to the right people.

“Walls operates at an engagement level for project based industries. It knows the deals and engagement that content belongs to. That understanding of the engagement metadata and what content is associated with. It is what we call engagement context, it protects your most important confidential business data. Engagement context enables wars to manage and enforce access permissions to ensure that neither humans nor digital actors such as CO pilots or large language models can inappropriately access or share confidential information in your deals, matters or engagements,” he said during his presentation. 

One of the biggest changes to the solution has been the addition of numerous new connectors, particularly for Microsoft products, particularly OneDrive, which he said makes things especially easy for a user to unintentionally move sensitive content from a secure server to an insecure laptop. So now they are using connectors to help firms deploy a single centralized system to identify and protect sensitive engagement information across the whole Microsoft 365 ecosystem. Beyond dozens of connectors, he also touted an API to extent Walls to any system that contains sensitive information at all. 

“If it contains sensitive information and It’s plugged in, Walls can secure it,” he said. 

Walls has also been enhanced with new monitoring instruments to assess and track oversharing risks by repository, client engagement or geographic location. This means that professionals can identify and proactively address the highest risk areas of their data, as well as receive “a little nudge” to secure areas that are less protected. 

“You don’t have to go to sleep wondering if your clients’ secrets are safe. Walls will show you,” he said. 

Intapp Assist

Finally, Melanie Fisher, Intapp’s senior product manager, went over improvements to Intapp Assist, the company’s generative AI assistant. She said that the Smart Tags feature has been significantly improved since it was first previewed last year. Smart Tags, she said, scan the cloud and automatically identify companies and contacts mentioned, and link the information to the relevant records—making it accessible across the firm. “It’s like having an assistant who reads all your notes in real-time and adds an @ mention to every relevant company or contact. It’s seamless and simple. Assist can instantly bring critical intelligence to every member of the firm who should have access to it,” she said. 

Intapp Assist now also features a new Prompt Studio. While Assist is very powerful, she conceded that every company is unique and has needs that cannot be addressed by a one size fits all approach. This is why they released the Prompt Studio, which allows people to bolster Assist’s capabilities with custom prompts specific to the user. 

She brought up a hypothetical example of someone named Kate, a partner at a multi-strategy investment firm. Kate is focused on making investments for the firm’s private credit strategy. She asks if Intapp Assist can find credit-related information on a company. Her supervisor, Mark, goes into Prompt Studio, where he sees that there are built-in tips for writing effective prompts. He can use the copy from an existing prompt or create a new one. He fills in basic information and selects the type of task he wants to tailor (in this case, summary.) He assigns the AI a role familiar with a private credit partner, then chooses the data his instructions will apply to. Next, Mark describes the AI’s task, giving it specific instructions on the types of information he is interested in, such as EBITDA, free cash flow, or debt service ratios. Once configured, he is ready to test. He filters the dataset through a realistic example and clicks Generate to see the results.

“Just like that, the experience has been tailored exactly to what Kate needs to run her private credit business. That was so easy!” she said. 

Fisher also noted the solution’s new language capacities. She raised an example of a hypothetical worker named Caleb who works in the UK and whose team is pursuing a deal with a Japanese conglomerate. While reviewing deal information, he discovers that his colleagues took notes in Japanese, and no one there understands them. Given time zone differences, she said, it will be difficult to get everyone on a call to resolve this quickly. However, in this case the firm already configured a prompt to translate automatically.

“Firms aspire to grow along many dimensions, including geographic expansion—whether organically or inorganically. While English is the most commonly used language, as businesses cross borders, the need for multilingual collaboration naturally increases,” said Fisher. 

Prompt Studio, Assist can translate over 100 languages into English.

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Accounting

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

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Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.

The expansion shifts ESG compliance

This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.

To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.

The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.

Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.

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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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