The number of registered business entities with the Accounting and Corporate Regulatory Authority (ACRA) in Singapore has increased consistently over the past five years, reaching more than 625,000 as of 2026, although the supply of accountants continues to decline due to an acute shortage of skilled labour and the retirement of professionals. Clients are now demanding reports on risks and flows throughout the year, rather than yearly reports, which would be impossible with manual systems and siloed accounting programs.
Agentic artificial intelligence is the next level of automation in Singapore, involving reasoning, adaptation, and action across an entire workflow, unlike previous automated technologies, which have been limited to script-based tasks. It has already been used successfully in Singapore to automate financial closings and contract management.
This article explains why firms are struggling, high-impact use cases, the implementation of Agentic AI, and how Agentic AI differs from traditional automation in Singapore.
The Singapore Context: A Nation Ready for Agentic AI
Singapore’s readiness for agentic AI in accounting reflects a system shaped by regulatory and digital initiatives led by the Accounting and Corporate Regulatory Authority (ACRA) and the Monetary Authority of Singapore (MAS), including structured XBRL-based reporting and national digital platforms like Singpass. The government has moved deliberately to prioritise enterprise adoption of artificial intelligence, directing investment and attention toward sectors such as finance and compliance.
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A Large and Structured Base
As of 2026, more than 625,000 entities registered with the ACRA are required to maintain structured financial records and meet recurring filing deadlines, a volume that continues to build rather than reset with each reporting cycle. For accounting firms, the challenge is not generating work but keeping pace with it, as obligations accumulate across reconciliations, filings, and reviews.
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Built on Machine-Readable Financial Systems
Singapore requires most companies to file financial statements in XBRL format with the Accounting and Corporate Regulatory Authority, a system that standardises how financial data is reported across entities. In practice, this means information is already structured at the point of submission, reducing the need for manual interpretation.
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Regulatory Clarity on AI in Finance
The Monetary Authority of Singapore has set out the FEAT principles, requiring that AI systems used in financial services remain fair, explainable, and subject to oversight, a framework that defines how automation can be applied rather than leaving it open to interpretation. For accounting firms, where compliance exposure is immediate, this offers a clearer basis for using such systems without extending regulatory risk.
The Four Levels of Agentic Workflows: Where is Your Firm?
For accounting firms, the shift toward agentic systems is not happening in a single step, but in stages that are often easy to overlook. Much of the work still looks the same on the surface, moving through reconciliations, approvals, and filings as it always has. What is beginning to change, more quietly, is how that work moves and how much of it depends on constant human input.
Over time, the distinction becomes clearer, separating firms that are still directing each step from those where systems are starting to carry parts of the process on their own.
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Task-Level Automation
In many firms, automation remains limited to discrete tasks such as data entry, invoice matching, or basic reconciliations, carried out within rules that have largely remained unchanged. The work moves more quickly, but the structure of it does not shift. Each step still depends on human direction, and when conditions change, the system is not designed to respond without intervention.
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Process-Level Coordination
Some firms have begun linking these tasks, enabling systems to move work across reconciliations, approvals, and reporting without repeated intervention. The effect is a reduction in the gaps that typically slow the process, though exceptions continue to require manual handling, keeping oversight closely connected to execution.
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Decision-Supported Execution
A smaller group of firms has begun to move beyond coordination, using systems to surface discrepancies, prioritise actions, and suggest next steps based on available data. At this stage, the role of the accountant starts to shift. The focus moves away from processing information and toward reviewing and validating what the system identifies, with judgment applied where it is most needed rather than at every step.
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Autonomous Workflow Management
At the far end, and still limited in adoption, are systems that can carry workflows from start to finish within defined boundaries, adjusting as inputs change. For firms operating at this level, the shift is less about completing individual tasks and more about maintaining control over the process itself, ensuring that each action can be traced, reviewed, and relied upon as part of a broader system of accountability.
What Can Agentic AI Actually Do Inside an Accounting Firm Today?
The table below outlines the benefits of using Agentic AI in the firms in 2026 and the differences between the old approach and the new Agentic AI methods:
| Area | Current Approach in Firms | What Agentic AI Enables |
|---|---|---|
| Corporate Compliance & Filing | Manual tracking of deadlines, preparation of statutory documents, and submission workflows | Continuous monitoring of compliance timelines with automated preparation and filing support |
| Accounting & Bookkeeping | Periodic recording, reconciliation, and adjustment of financial transactions | Real-time recording and continuous reconciliation with reduced manual intervention |
| Corporate Taxation | Manual compilation of tax data and preparation of filings based on historical records | Automated aggregation of tax data with ongoing validation and filing readiness |
| Audit Support & Documentation | Reactive collection of financial records and supporting documents before audits | Continuous audit-ready documentation with structured and traceable data |
| Financial Reporting & Advisory | Periodic financial reporting with limited forward-looking insights | Ongoing financial visibility with early identification of risks and advisory triggers |
| Business Incorporation & Setup | Document-heavy onboarding, verification, and regulatory approvals | Streamlined onboarding with automated data validation and document processing |
Why are Accounting Firms Struggling in 2026?
Singapore-based organisations are experiencing persistent structural pressures in 2026.
These pressures have evolved over time due to escalating regulatory requirements, growing complexity of operations, and changing customer demands.
As these pressures come together, they are influencing how businesses handle capacity management, service delivery, and compliance issues. The points below highlight the important structural pressures impacting the industry.
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Growing Workloads and Limited Workforce Capacity
It becomes evident that there has been a rising imbalance between the quantity of tasks and the supply of talent. The rise in the number of tasks as compared to the previous year has not been accompanied by an equal increase in the availability of talented employees. Such an imbalance has transformed growth into a constrained concept.
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Regulatory Complexities Increase
There is a trend of increasingly complex regulatory filings like ACRA, taxes, cross-border requirements, and reporting requirements. There is no time to plan ahead because compliance teams have very little time to comply with regulations.
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Shift Toward Continuous Client Expectations
The old system of quarterly reporting and annual reviews is outdated. Clients demand continuous visibility on their finances, early detection of any risks, and timely advisory services.
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Inefficiencies from Legacy Systems
Most accounting and corporate governance systems are still developed as independent solutions, but not as integrated systems. Information is scattered through different platforms, while companies still depend on human interaction to integrate processes that have never been made to work together.
High-Impact Use Cases of Agentic AI in Accounting in Singapore
The key transformations taking place are not merely incremental efficiency improvements but rather are transformations in the structure and operations of fundamental accounting and regulatory processes. Agentic AI is being implemented in situations in which time, coordination, and control intersect to transform sequential processes into something fundamentally different.
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Business Name Availability Checks Powered by AI
Agentic AI is applying the same underlying logic to accounting, validating and classifying financial transactions in real time. Much as AI systems scan registries to prevent duplicate company names, they are now being used to review financial data, identifying errors and inconsistencies at the source.
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Automated Document Preparation
The use of AI to generate incorporation documents has a clear parallel in accounting, where financial records, reports, and reconciliations are increasingly automated. The result is greater consistency, a reduction in manual workload, and financial data that remains audit-ready on an ongoing basis.
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Enhanced KYC and Identity Verification
Agentic AI is reinforcing financial controls by verifying counterparties, analysing transaction patterns, and flagging potential risks. Much like AI-driven KYC processes in incorporation, it is helping strengthen trust and improve compliance across accounting systems.
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AI-Assisted SSIC Code
Much as AI systems suggest SSIC codes based on a company’s business activity, agentic AI is being used to classify financial data into appropriate accounting categories. The effect is more accurate reporting and closer alignment with regulatory and tax requirements.
How to Implement Agentic AI Without Disrupting Daily Operations?
Singapore accounting firms adopting agentic AI are discovering that the implementation strategy matters as much as the technology itself. The firms achieving seamless transitions share one discipline in common: they move in stages and preserve human oversight at every critical point.
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Begin With Routine, High-Volume Work
Invoice reconciliation, expense validation, and account matching are the right starting points. These tasks follow strict rules, carry low risk, and generate enough volume to produce meaningful performance data quickly. Early results from contained processes build the internal confidence required for wider deployment.
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Pilot Within One Department
The accounts payable & receivable process provides an opportunity to test AI performance in a confined space without implementing it across the business. Problems associated with poor performance can be sorted out during this phase before full-scale implementation.
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Retain Human Review at Critical Points
AI agents should operate autonomously within defined boundaries. High-value transactions, regulatory filings, and flagged exceptions must pass through human review before finalisation.
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Audit Data Before Connecting Systems
AI produces reliable outputs only when the source data is accurate and consistently structured. ERP and accounting platforms require a thorough review before any agent is integrated. Poor data leads to systemic errors within an AI system.
What Will the Future-Ready Accounting Firm Look Like by 2030?
Singapore’s accounting sector is moving toward a more structured and technology-enabled model. Regulatory expectations are increasing, while digital reporting frameworks are becoming more embedded. According to the Accounting and Corporate Regulatory Authority (ACRA), the shift toward digitalisation and data-driven reporting is already influencing how firms operate and scale.
According to a survey, by 2030, a noticeable share of routine finance work is expected to move out of human hands, with at least 15 per cent of daily functions handled autonomously. At the same time, roughly 70 per cent of finance operations are projected to rely on artificial intelligence to support decisions.
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Blockchain Beyond the Balance Sheet
By 2030, blockchain indicates a changing world where the market is projected to reach $12.3 billion, revolutionising accounting and bookkeeping. Blockchain is a shared, immutable ledger enabling the recording of transactions and tracking of assets. The key benefit of blockchain lies in its ability to provide security and transparency without relying on traditional intermediaries such as banks.
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Integrated Strategic Business Partnering
Accountants of 2030 will be less of a number cruncher and more of a strategic business partner. Integrated strategic business partnering reflects how future-ready accounting firms are moving beyond compliance into the core of business decision-making. Instead of focusing only on reporting past performance, accountants are working closely with leadership teams to provide strategic guidance.
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The Rise of Continuous Accounting with AI and Automation
By 2030, automation is expected to reshape core finance functions, with a significant share of routine accounting tasks handled by technology, according to projections from the World Economic Forum. The shift is expected to move firms toward continuous accounting, where financial data is processed as it is generated rather than at fixed intervals.
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Dynamic Profession
By 2030, accounting is expected to move closer to the centre of decision-making. With execution increasingly handled by systems, finance professionals are likely to play a larger role in shaping strategy and managing risk.
Conclusion
The transformation that is happening is not so much about the advent of technology but more so the rebalancing of the way accounting firms function amid unrelenting pressure. For instance, in Singapore, where regulations and client demands are increasingly becoming stringent simultaneously, there is a need for firms to consciously decide how their processes will be managed. Agentic AI works as a facilitator in this transformation, although it alone cannot dictate results. It will ultimately take well-structured operating models, disciplined governance, and consistent execution to differentiate themselves in the long run.
At 3E Accounting, we deliver accounting and corporate compliance services in Singapore with a focus on corporate taxation, audit, compliance, and financial advisory. As agentic AI reshapes how accounting services are structured and delivered, our role is to ensure that your business remains accurately compliant, strategically informed, and operationally sound through every stage of that transition.
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Frequently Asked Questions
Yes. Under the Enterprise Innovation Scheme, Singapore businesses can claim 400% tax deductions on qualifying AI expenditures, capped at S$50,000 annually for 2027 and 2028. This applies directly to accounting firms investing in agentic AI platforms, staff training, and system integration, making adoption significantly more accessible for small- and mid-sized practices.
Agentic AI can automate the preparatory stages of GST and ACRA submissions, including document extraction, data classification, schedule mapping, and draft preparation. Final review and authorisation remain with a qualified professional. The system accelerates preparation; the accountant retains full regulatory responsibility for submission.
Compliance depends entirely on how the system is configured, not on the technology itself. Firms must ensure client data is processed only within its consented purpose, stored within approved environments, and subject to full audit trails. IMDA’s Model AI Governance Framework and the PDPA together define the standard that every Singapore deployment must meet.
The most common failure is connecting AI systems to live client data before the underlying data has been cleaned and properly structured. Agentic AI amplifies what it receives accurate data produces reliable outputs, while inconsistent or fragmented data produces compounding errors across every workflow the system touches.
Professional and legal accountability remains entirely with the designated human supervisor, regardless of how much of the work an AI system performs. Singapore’s regulatory framework is explicit on this point AI agents do not transfer liability. Firms must maintain clear governance records demonstrating that qualified professionals reviewed and authorised all material outputs before delivery or filing.
With 72% of Singapore businesses planning to deploy agentic AI within two years, up from just 15% today, the market for scalable, subscription-based platforms has expanded considerably. Entry-level agentic systems are now available at price points accessible to smaller practices, and the Enterprise Innovation Scheme’s tax deduction provisions reduce the effective cost further for qualifying firms.
Clients receive faster report turnaround, more frequent financial visibility, earlier identification of compliance risks, and advisory conversations informed by real-time data rather than periodic summaries. The practical experience for the client is a firm that responds more quickly, catches issues earlier, and spends more of its professional time on guidance rather than preparation.
Abigail Yu
Author
Abigail Yu oversees executive leadership at 3E Accounting Group, leading operations, IT solutions, public relations, and digital marketing to drive business success. She holds an honors degree in Communication and New Media from the National University of Singapore and is highly skilled in crisis management, financial communication, and corporate communications.
