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DualEntry celebrates $90 million Series A for AI-native ERP

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ERP company DualEntry announced its exit from stealth with $90 million in Series A funding from Lightspeed, Khosla Ventures and GV (Google Ventures) in order to support its AI-native ERP system.

Co-founder Benedict Dohmen said that they developed their solution in response to the frustrations they experienced with legacy ERP systems. Dohman, alongside co-founder Santiago Nestares, had previously launched a company, Benitago, in college. The company grew fast, going from nothing to $25 million in annual revenue in five years to $100 million in annual revenue shortly after that. Like many such growing companies, they decided they needed a dedicated ERP system as they outgrew their small business-oriented solutions. They chose a popular ERP, but implementation soon turned into an arduous ordeal. 

“As a legacy ERP system, it was quite a catastrophe for us. It took us 18 months to go live. It cost us, I think, $150,000 or $200,000 in consultants. Meanwhile, the license still cost us $100,000 so we were paying for a blank screen the whole time. The first implementation failed. We had to switch implementation consultants. Then, even when we were live, it never really worked. We couldn’t handle the amount of transactions that we were processing. It didn’t have native integration, in this case, to Amazon and Walmart. And so it was very frustrating,” he said in an interview. 

DualEntry

He said he was shocked that, in this day and age, things were still this hard. He noticed that there were a lot of point solutions for HR and payroll and AP/AR that were much more modern and user-friendly versus those contained in legacy ERP systems, which he said “felt like you were stuck in the 1990s still, which is when these systems were born.”  This inspired them to develop DualEntry. 

While many systems have recently added AI features, Dohmen said that this is different from building AI directly into the software. A company might announce that they have a bill scan feature that lets people upload AP documents, which the system will use to populate a form, but he said this is more optical character recognition than AI. A true AI-native solution, according to Dohmen, goes beyond specific point solutions and into general workflow automation. 

“What it means to be AI-native is to have AI embedded in the architecture and infrastructure of the system such that you can go workflow by workflow. You can see where accountants spend most of their time, and then you can go workflow by workflow and help automate those with the use of AI. Rather than just something at the surface level, this is deeply embedded in the actual workflow, in the actual product,” he said. 

Asked to elaborate on the specifics, Dohmen said agents are woven throughout the system and are deeply involved in its functioning in, theoretically, unlimited amounts, saying “you could have a million agents, hypothetically, that run all in parallel and do work for you.” So, for example, in the case of a reconciliation, there could be an agent who looks at an individual statement line in a bank feed, another agent looking at just the amount, a third that examines past transactions to see if there’s any anomalies, another agent that collects all the information together “and says ‘ok, this is the output and this is the likely transaction in the accounting system that this bank statement line will match to, let me suggest that to the user,” while another agent offers a confidence score on the other agents’ accuracy. 

“So think of them as different workers. And then the ultimate output for the user is you have a bank statement line, and on the accounting side, you have a record that the AI suggests for you to create. And then you can hit create,” he said, adding that the AI will never post a transaction to their GL, it will only suggest the creation, “and that way, the controller and the finance team is in full control over what gets posted.”

The system supports over 13,000 native integrations. Unlike in other cases where companies meticulously build specific integrations one by one, DualEntry’s integrations rely on a powerful migration engine that can plug into almost any other API and feed that data into DualEntry’s structure. This allows users to build their own integrations for free, as the functionality is built directly into the program itself. 

“Traditionally, you’d have to map everything … With this unified API, unified ingestion engine, we’re able to plug into all types of variables and stream that data. And so that cuts our integration development time from a traditional down to the dual entry approach by 95%,” he said. 

Including this engine was not only a technical decision but a business one as well. In one of the company’s YouTube videos, Nestares said certain legacy systems purposefully don’t integrate with certain software so that they can then refer the customer to a separate company who acts as integration partner who paid for the referral; similarly, when a customer wants to change some part of the system, or wants something that referred to as out of scope, they’re referred to another company who serves as implementation partner who paid for the referral. He said this structure acts as a disincentive to ease implementation and integration. 

“At dual entry, we felt that pain firsthand to depend on outside consultants for every little change. Say we had a new M&A transaction, we’d have to involve consultants to add that new entity, it would charge another 5 to 15k just for a new company, it would take another two to three weeks or oftentimes more just to add it. Any slight workflow change would have to always depend on those outside consultants,” said Dohmen. 

DualEntry’s goal, according to him, is not to build a network of specialized service providers that provide ongoing revenue since they do not think of themselves as a services company but a software company.  

“Our goal and our core competency is to build the best possible and the best on the market, best in the world, accounting software, ERP software in the world,” he said.

The kinds of service agreements he talked about are usually a key scaling method for other companies, but Dohmen said that because their migration engine can build integrations without them, there’s less need to do so, which then allows them to pass the savings onto the customer. While they do maintain accountants to verify successful migration, because 99% of the work is done through the system itself, it’s still a much lower cost. 

“We can pass those savings in terms of headcount costs, in terms of time, we can pass those on to the customers. So what … other legacy ERP customers are experiencing today in terms of the different fees, the consultants, the different modules, all of that we can eliminate almost down to almost down to zero,” he said. 

DualEntry’s complete ERP accounting suite covers the full general ledger along with accounts receivable, accounts payable, live bank connections, audit controls, FP&A, and more. DualEntry is built for multi-entity, multi-book, multi-currency accounting, and is designed to scale with businesses from mid-market to IPO without needing add-ons or external IT support calls.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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Accounting

Automated Tax Compliance and Global Regulatory Harmonization in 2026

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Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.

Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.

Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.

Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.

This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.

Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.

By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.

Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.

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