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New Intapp release uses “nudges” to guide business development behavior

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Professional services solutions provider Intapp announced the release of Intapp DealCloud Activator, which uses a social media-like interface to give users “nudges” to adopt certain practices and habits that are associated with successful business development. While currently made for law firms, Intapp intends to roll this out for other professions, including accountants, in the future. Intapp made the announcement during its Intapp Amplify event in New York City on Feb. 26. 

The new solution is built around the results of an exhaustive study about the habits of highly effective rainmakers in partner-based businesses, which was eventually published in the Harvard Business Review, which Intapp funded. A series of survey tools and 1-on-1 interviews with professionals across the world coalesced into five business development profiles: Experts, Confidantes, Debaters, Realists and Activators. The final group, Activators, were found by the researchers to be 32% more successful in bringing in new business. In general, their behavior profile emphasizes network building and proactivity, such as reaching out to current or prospective clients when changes occur in the regulatory or economic environment or introducing clients to partners from other practice areas that they think can provide value. 

Rory Channer, founding partner of DCM Insights and one of the lead authors of the HBR study, said during his talk that, since the study was completed, he has been advising firms on how to encourage Activator behavior among their own staff, which he said has led to great improvements in business development. 

Nudge

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Laura Saklad, vice president of Intapp’s legal industry group, said the DealCloud Activator solution is meant to encourage the same kinds of behavioral changes, but with AI-driven software versus a consulting engagement. The product, she said, is meant to address two challenges. One is how do leaders influence their professionals to adopt Activator behaviors when they cannot command or control them? The other is how can we give leaders the tools they need to monitor and adapt to AI in a way that works for their culture? 

The answer to both, said Saklad, is a concept in behavioral science called “Nudges” which encourage or discourage certain behaviors not through coercion or education but, rather, subtle interventions in the choice architecture that, while easy and cheap to avoid, can alter how one makes decisions. Contrast putting fruit at eye level to encourage people to eat healthier, versus outright banning junk food. Saklad said we already see this being applied in other applications. 

“Nudges are embedded in the apps we use everyday, your phone may nudge you about your steps or to drink water or to stand up and get out of your seat and move around, whatever it is you are personally committed to you can use your apps and this technology to keep you true to your commitments. The approach focuses on encouraging small incremental improvements that add up over time, and given the size of the firms you all work in, even modest individual improvements can have a significant cumulative impact and that is what we’re going for. Our implementation is called Signals, it behaves like an assistant thinking of you and your practice 24 hours a day without having to go into a dashboard or tech app,” she said.

The solution interface features what is called an Activator Feed that is tailored specifically to the user. It appears similar to a social media feed, but instead of scrolling through posts about people’s dogs or their trip to Italy, users scroll through AI-produced reminders about current clients who could be proactively contacted to discuss a recent tax law change, or notes about changes in a company that night necessitate a talk. During her talk, her Activator Feed first reminded her of tips she received from a recent training session and the need to take quick action when she has time to spare, followed by a reminder to nurture her professional network by reaching out to a client who recently completed an M&A transaction so she can talk about how post-deal integration is going. 

“Now, of course, this is good client service, but importantly, I know that clients often need compliance advice after closing these types of deals, and so it is certainly worth checking in to see if my firm can be a further assistance. And once I do that, I can schedule a meeting. I can record that that meeting took place, so I have that and I can reference it in the future,” she said. 

The final item was to reminding her to take action to create new value for the firm. Specifically, the AI looked at historical data as well as information about her own work patterns to tell her that a partner at her firm has recently opened an IT engagement with a client she has been trying to figure out how to build a relationship with, which gives her an opportunity to expand the relationship further by offering other services. 

“It’s really exciting, because I would not have known this without this piece. I have not met him yet at his new firm, so now I can quickly send him an email or message and suggest that we collaborate on how we can expand the relationship and add more value for this. So that is a glimpse at how the activator experience for professionals can use nudge theory to provide timely, data driven insights that will help partners commit to consistent business development, connect with their professional networks and then create new opportunities for their firms and new greater value for their clients. That’s pretty cool,” she said. 

The second problem—how can we give leaders the tools they need to monitor and adapt to AI in a way that works for their culture?—is also addressed through nudges, according to Saklad. The software allows firm management to monitor, fine tune and prioritize how Activator behaviors are deployed in their firm. She noted that managing partners often have had difficulty getting clear insight into how my partners spend their business development time, but technology now enables this level of oversight. 

“[In this example] I am very focused on cross-selling, and I am able to see how my partners are engaged with cross-selling behavior and how they are improving over time… I can also see how much time my partners are spending on business development time versus billable work. And again, I can see it over time, and I can save by practice group. And then when I look at the details, I can say, for example, that right now my capital markets partners are not spending as much time on business development as some other groups. And I can make a note that when I next talk to the practice group leader, I can talk to her about how we can best support our partners and others. I can also drill down to see the daily and the weekly cadence of business development time,” she said. 

It also has a heat map of which practice groups have the strongest adoption of the desired behaviors, and offers the ability to drill down and identify how specific individuals are performing. 

“I can see which partners are doing well and reach out and give them a pat on the back. I can see which partners are slower to change and provide them with additional coaching. And lastly, the most exciting thing, is that the data provided in these dashboards allows me to connect Activator behaviors with revenue generation, and so I really can quantify for the first time the impact to the bottom line,” she said. 

Intapp DealCloud Activator is currently only available for law firms, Tom Koehler, Intapp’s global managing principal for accounting and consulting, said in a later interview that there are plans to release versions for other professions, such as those in audit, advisory or tax in the future. He noted that it is not a matter of simply changing labels, as the specific type of nudges the software uses need to be particular to the profession. For instance, in countries that have mandatory audit partner rotation (done to preserve auditor independence), the software could nudge accountants on how to convert turnover into business opportunities. 

“When you leave your client you have a lot of relationships. So how do you leverage that, then into business development, into cross selling, so you turn it into more of an asset,” he said. 

While a specific date or timeframe was not mentioned for accountants, Kohler said that an accounting-focused version is “on our horizon as a next rollout.” 

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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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