Deploy AI agents to process financial information, coordinate engagements, perform reviews, manage compliance workflows and help practitioners focus on higher-value analysis and advisory work.
From assurance, tax and financial accounting to risk advisory, corporate secretarial and business valuation, agentic AI helps accounting practices move beyond repetitive processing towards intelligent, technology-enabled professional services.
Accounting practices are being reshaped by intelligent automation, cloud computing, data analytics, cybersecurity, changing client expectations and persistent workforce challenges.
The next transformation is not simply digitising individual tasks. It is enabling AI agents to coordinate complex professional workflows while preserving judgement, accountability and trust.
Practitioners still spend significant time gathering information, validating documents, reconciling records, preparing workpapers, tracking client requests, producing reports and performing repetitive compliance activities.
Agentic AI can absorb more of this transactional and coordination-intensive work. AI agents can interpret financial and business information, apply approved procedures, retrieve evidence, prepare analyses, manage exceptions and execute authorised workflow steps—with professional review and sign-off remaining with qualified practitioners.
Accounting practices are increasingly expected to provide interpretation, foresight, business solutions and proactive guidance—not only compliance outputs.
Data extraction, reconciliations, confirmations, calculations, workpaper preparation and routine reporting can be performed faster with AI and intelligent automation.
Information sharing, remote work and real-time client collaboration are becoming standard, increasing the importance of integrated workflows and data governance.
AI, cloud systems, cybersecurity and digitally enabled client processes create new requirements for governance, controls, validation and technology assurance.
AI agents can reduce repetitive workload, enrich professional roles and help practices create more attractive career paths centred on analysis, judgement and client impact.
| Area of work | Traditional practice | Digitally enabled practice | Agentic practice |
|---|---|---|---|
| Information gathering | Teams manually request, retrieve and organise client information. | Cloud portals and workflow tools centralise information exchange. | AI agents identify required information, follow up, classify evidence and flag gaps. |
| Transaction processing | Practitioners perform extraction, entry, reconciliation and calculations manually. | Rules and automation reduce repetitive processing. | Agents interpret information, execute multi-step processing and manage exceptions across systems. |
| Assurance and review | Teams perform large volumes of manual checks and sample reviews. | Analytics tools improve risk assessment and anomaly detection. | Agents continuously analyse evidence, prepare review findings and direct practitioners to higher-risk areas. |
| Tax and compliance | Teams gather data, prepare computations and track obligations manually. | Tax software automates calculations and standard filings. | Agents coordinate data collection, prepare draft positions, monitor changes and escalate judgement-intensive issues. |
| Client service | Updates and deliverables depend on individual practitioners. | Portals and dashboards improve visibility. | Agents provide contextual updates, answer routine questions and support proactive advisory conversations. |
| Advisory | Practitioners spend substantial time preparing data before analysis begins. | Analytics tools accelerate modelling and visualisation. | Agents gather evidence, test scenarios and explain drivers so professionals can focus on judgement and recommendations. |
AI agents will automate or augment many repetitive tasks, but professional judgement, ethics, scepticism, client understanding and accountability will remain central to the value of accounting practitioners.
Use AI agents and automation effectively, validate outputs and recognise where human judgement is essential.
Analyse large datasets, identify anomalies, understand drivers and translate findings into meaningful insight.
Work securely across cloud platforms, digital workflows and distributed engagement teams.
Understand technology controls, data risks, system dependencies and the assurance implications of digital operations.
Connect financial information to business models, market conditions, strategic choices and client outcomes.
Challenge outputs, evaluate uncertainty and form defensible conclusions from complex information.
Understand client needs, explain implications clearly and build trusted advisory relationships.
Continuously adapt to changing standards, technologies, regulations and client expectations.
AI agents can support individual tasks or coordinate end-to-end professional workflows—from client onboarding and evidence collection to assurance, tax, reporting and advisory.
Coordinate client setup, information collection and engagement administration.
Support assurance teams by organising evidence and preparing structured workpapers.
Analyse transaction populations and direct practitioners towards higher-risk items.
Coordinate data collection, computations, checks and filing workflows.
Monitor changes in accounting standards, tax rules and regulatory requirements.
Support the preparation, review and consistency of financial reports and disclosures.
Automate recurring bookkeeping, reconciliation and close-support activities.
Support control assessment, testing and ongoing monitoring.
Accelerate the review of large volumes of transactions, communications and evidence.
Support research, model preparation, scenario analysis and valuation documentation.
Coordinate the collection, validation and reporting of sustainability information.
Turn financial and operational information into more timely, contextual client insight.
Deploy a focused AI agent for a high-volume, document-intensive or coordination-heavy process, prove the value and then scale across connected professional workflows.
Extract, validate and reconcile invoices while routing discrepancies and exceptions for human review.
Explore Invoice Reconciliation →Automate invoice processing, validation and accounting-system updates across recurring finance workflows.
Explore e-Invoicing →Monitor receivables, prepare client communications and coordinate collection follow-ups.
Explore A/R Collections →Coordinate close activities, gather supporting information, track dependencies and manage exceptions.
Explore Month-End Closing →Apply approved procedures to evidence, identify exceptions and prepare structured findings for professional review.
Discuss Audit and Compliance Review →Track relevant changes, summarise implications and coordinate follow-up actions across clients and engagements.
Discuss Tax and Regulatory Monitoring →Extract sustainability information, consolidate evidence and automate recurring reporting workflows.
Explore Sustainability Reporting →Design an AI agent around your engagements, procedures, client workflows, systems, professional standards and review controls.
Discuss Your Use Case →Start with a focused professional workflow. Establish value, confidentiality, review controls and practitioner confidence. Then connect agents across engagements and service lines.
Identify high-value opportunities based on workload, repeatability, information intensity, professional risk and data readiness.
Introduce AI as a professional copilot while practitioners remain responsible for reviewing outputs and making decisions.
Enable AI agents to execute selected workflows within approved accounting, audit, tax, risk and data-governance controls.
Connect specialised agents across the engagement lifecycle and multiple service lines.
Redesign jobs, engagement models and service delivery around effective human–AI collaboration.
The objective is not autonomy at all costs. It is the right level of autonomy for each professional procedure, client commitment, judgement and risk.
Build an intelligent workforce of AI agents that can understand financial information, coordinate engagements, support practitioners and execute work across your existing systems.
Start with one high-value workflow. Prove the impact. Scale across engagements and service lines.
Deploy AI agents to process financial information, coordinate engagements, perform reviews, manage compliance workflows and help practitioners focus on higher-value analysis and advisory work.
From assurance, tax and financial accounting to risk advisory, corporate secretarial and business valuation, agentic AI helps accounting practices move beyond repetitive processing towards intelligent, technology-enabled professional services.
Accounting practices are being reshaped by intelligent automation, cloud computing, data analytics, cybersecurity, changing client expectations and persistent workforce challenges.
The next transformation is not simply digitising individual tasks. It is enabling AI agents to coordinate complex professional workflows while preserving judgement, accountability and trust.
Practitioners still spend significant time gathering information, validating documents, reconciling records, preparing workpapers, tracking client requests, producing reports and performing repetitive compliance activities.
Agentic AI can absorb more of this transactional and coordination-intensive work. AI agents can interpret financial and business information, apply approved procedures, retrieve evidence, prepare analyses, manage exceptions and execute authorised workflow steps—with professional review and sign-off remaining with qualified practitioners.
Accounting practices are increasingly expected to provide interpretation, foresight, business solutions and proactive guidance—not only compliance outputs.
Data extraction, reconciliations, confirmations, calculations, workpaper preparation and routine reporting can be performed faster with AI and intelligent automation.
Information sharing, remote work and real-time client collaboration are becoming standard, increasing the importance of integrated workflows and data governance.
AI, cloud systems, cybersecurity and digitally enabled client processes create new requirements for governance, controls, validation and technology assurance.
AI agents can reduce repetitive workload, enrich professional roles and help practices create more attractive career paths centred on analysis, judgement and client impact.
| Area of work | Traditional practice | Digitally enabled practice | Agentic practice |
|---|---|---|---|
| Information gathering | Teams manually request, retrieve and organise client information. | Cloud portals and workflow tools centralise information exchange. | AI agents identify required information, follow up, classify evidence and flag gaps. |
| Transaction processing | Practitioners perform extraction, entry, reconciliation and calculations manually. | Rules and automation reduce repetitive processing. | Agents interpret information, execute multi-step processing and manage exceptions across systems. |
| Assurance and review | Teams perform large volumes of manual checks and sample reviews. | Analytics tools improve risk assessment and anomaly detection. | Agents continuously analyse evidence, prepare review findings and direct practitioners to higher-risk areas. |
| Tax and compliance | Teams gather data, prepare computations and track obligations manually. | Tax software automates calculations and standard filings. | Agents coordinate data collection, prepare draft positions, monitor changes and escalate judgement-intensive issues. |
| Client service | Updates and deliverables depend on individual practitioners. | Portals and dashboards improve visibility. | Agents provide contextual updates, answer routine questions and support proactive advisory conversations. |
| Advisory | Practitioners spend substantial time preparing data before analysis begins. | Analytics tools accelerate modelling and visualisation. | Agents gather evidence, test scenarios and explain drivers so professionals can focus on judgement and recommendations. |
AI agents will automate or augment many repetitive tasks, but professional judgement, ethics, scepticism, client understanding and accountability will remain central to the value of accounting practitioners.
Use AI agents and automation effectively, validate outputs and recognise where human judgement is essential.
Analyse large datasets, identify anomalies, understand drivers and translate findings into meaningful insight.
Work securely across cloud platforms, digital workflows and distributed engagement teams.
Understand technology controls, data risks, system dependencies and the assurance implications of digital operations.
Connect financial information to business models, market conditions, strategic choices and client outcomes.
Challenge outputs, evaluate uncertainty and form defensible conclusions from complex information.
Understand client needs, explain implications clearly and build trusted advisory relationships.
Continuously adapt to changing standards, technologies, regulations and client expectations.
AI agents can support individual tasks or coordinate end-to-end professional workflows—from client onboarding and evidence collection to assurance, tax, reporting and advisory.
Coordinate client setup, information collection and engagement administration.
Support assurance teams by organising evidence and preparing structured workpapers.
Analyse transaction populations and direct practitioners towards higher-risk items.
Coordinate data collection, computations, checks and filing workflows.
Monitor changes in accounting standards, tax rules and regulatory requirements.
Support the preparation, review and consistency of financial reports and disclosures.
Automate recurring bookkeeping, reconciliation and close-support activities.
Support control assessment, testing and ongoing monitoring.
Accelerate the review of large volumes of transactions, communications and evidence.
Support research, model preparation, scenario analysis and valuation documentation.
Coordinate the collection, validation and reporting of sustainability information.
Turn financial and operational information into more timely, contextual client insight.
Deploy a focused AI agent for a high-volume, document-intensive or coordination-heavy process, prove the value and then scale across connected professional workflows.
Extract, validate and reconcile invoices while routing discrepancies and exceptions for human review.
Explore Invoice Reconciliation →Automate invoice processing, validation and accounting-system updates across recurring finance workflows.
Explore e-Invoicing →Monitor receivables, prepare client communications and coordinate collection follow-ups.
Explore A/R Collections →Coordinate close activities, gather supporting information, track dependencies and manage exceptions.
Explore Month-End Closing →Apply approved procedures to evidence, identify exceptions and prepare structured findings for professional review.
Discuss Audit and Compliance Review →Track relevant changes, summarise implications and coordinate follow-up actions across clients and engagements.
Discuss Tax and Regulatory Monitoring →Extract sustainability information, consolidate evidence and automate recurring reporting workflows.
Explore Sustainability Reporting →Design an AI agent around your engagements, procedures, client workflows, systems, professional standards and review controls.
Discuss Your Use Case →Start with a focused professional workflow. Establish value, confidentiality, review controls and practitioner confidence. Then connect agents across engagements and service lines.
Identify high-value opportunities based on workload, repeatability, information intensity, professional risk and data readiness.
Introduce AI as a professional copilot while practitioners remain responsible for reviewing outputs and making decisions.
Enable AI agents to execute selected workflows within approved accounting, audit, tax, risk and data-governance controls.
Connect specialised agents across the engagement lifecycle and multiple service lines.
Redesign jobs, engagement models and service delivery around effective human–AI collaboration.
The objective is not autonomy at all costs. It is the right level of autonomy for each professional procedure, client commitment, judgement and risk.
Build an intelligent workforce of AI agents that can understand financial information, coordinate engagements, support practitioners and execute work across your existing systems.
Start with one high-value workflow. Prove the impact. Scale across engagements and service lines.