Accounting
AI-powered audit and advisory with full regulatory compliance and zero data leakage
You get AI agents for audit automation, forensic accounting, risk scoring, and regulatory compliance. They run on your cloud, connect to your existing GL and ERP systems, and produce workpapers your regulators can verify.
Built on your AWS, Azure or GCP tenant. SOC 2 compliant. Regulator-ready.
Proof of concept
To measurable ROI
AWS, Azure or GCP
Your audit margin is shrinking. AI closes the gap between data volume and staff capacity.
Your teams spend 60 to 70 percent of engagement time on data extraction, reconciliation, and formatting. Meanwhile, transaction volumes grow every quarter, regulatory requirements multiply, and experienced staff are harder to retain. The maths does not work without automation.
We build AI agents that automate the repeatable work and surface the exceptions that need professional judgement from journal entry testing and risk scoring to tax provision calculations and regulatory filing preparation, with audit trails your regulators and partners can verify.
reduction in audit hours through AI automation of routine procedures (McKinsey, 2024)
global accounting services market projected by 2027, with AI-enabled firms gaining share (BCG X, 2024)
of Big Four audit procedures targeted for AI augmentation by 2026 (Deloitte Insights)
improvement in anomaly detection rates when AI reviews full transaction populations (McKinsey QuantumBlack)
From general ledger to signed workpaper, in one workflow
We connect your GL, ERP, tax, and document management systems to AI agents that automate data extraction, test transactions, score risk, and produce the audit workpapers and regulatory filings your partners and regulators require.
GL, ERP, tax systems and client records
- Approval gates
- Human-in-loop
- Audit logging
AWS, Azure or GCP
- Audit workpapers
- Risk reports
- Regulatory filings
What we deliver for accounting firms and finance teams
From audit automation to regulatory compliance, governed, auditable, enterprise-ready
Automated journal entry testing
Test 100% of journal entries and flag anomalies automatically.
ROI
Process
Ingest GL data
Full general ledger populations extracted from ERP systems with automated field mapping and validation
Apply risk rules
AI tests every journal entry against configurable risk criteria: unusual amounts, timing, user patterns, round numbers
Surface exceptions
Ranked exception reports delivered to audit teams with supporting evidence and suggested follow-up procedures
Sources
Based on published findings: McKinsey QuantumBlack, 'The State of AI in Accounting', 2024; Deloitte Insights, 'AI in Audit', 2024 — reproduced for illustrative purposes
Forensic accounting and fraud detection
Detect fraud patterns across full transaction populations.
ROI
Process
Aggregate transaction data
Financial records, vendor master files, expense claims, and payment data consolidated from all source systems
Detect suspicious patterns
ML models flag Benford's Law violations, duplicate payments, round-number clustering, and unusual vendor relationships
Generate investigation packs
Documented evidence packages with transaction trails delivered to forensic investigators
Sources
Based on published findings: BCG X, 'AI in Financial Services', 2024; McKinsey, 'Fighting Fraud with AI' — reproduced for illustrative purposes
Risk scoring and audit planning
Score risk at entity and account level to prioritise audits.
ROI
Process
Collect risk indicators
Financial ratios, industry benchmarks, prior findings, and entity-specific factors aggregated automatically
Score and rank risks
ML models assign risk scores at the entity, account, and assertion level based on historical patterns
Generate audit plans
Risk-ranked audit plans with resource allocation recommendations delivered to engagement managers
Sources
Based on published findings: Deloitte Insights, 'AI-Powered Audit', 2024; McKinsey QuantumBlack, 'Risk Analytics' — reproduced for illustrative purposes
Tax provision and compliance automation
Calculate multi-jurisdiction tax provisions automatically.
ROI
Process
Extract financial data
Trial balances, intercompany transactions, and entity-level data pulled from ERP with automated mapping
Calculate provisions
AI computes current and deferred tax across jurisdictions, applying relevant rates and rules automatically
Generate filings
Tax schedules, reconciliations, and disclosure notes produced in regulator-required formats
Sources
Based on published findings: McKinsey, 'AI in Tax', 2024; BCG X, 'Digital Tax Transformation' — reproduced for illustrative purposes
Accounts payable and receivable automation
Match invoices, code transactions, and reconcile accounts.
ROI
Process
Capture documents
Invoices, credit notes, and remittance advices extracted using OCR and NLP from any format
Match and code
AI matches invoices to POs, applies GL coding rules, and reconciles to bank and sub-ledger data
Escalate exceptions
Unmatched items, duplicate invoices, and coding anomalies routed to the right approver with context
Sources
Based on published findings: Deloitte Insights, 'Intelligent Automation in Finance', 2024; McKinsey, 'Digitising the Back Office' — reproduced for illustrative purposes
Regulatory reporting and compliance
Generate regulatory returns and statutory accounts on demand.
ROI
Process
Map regulatory requirements
AI tracks applicable regulations across jurisdictions and maps them to your chart of accounts and data sources
Extract and validate
Financial data extracted, cross-referenced, and validated against regulatory rules and prior submissions
Produce filings
Statutory accounts, regulatory returns, and disclosure notes generated in required formats with audit trails
Sources
Based on published findings: BCG X, 'RegTech and AI', 2024; Deloitte Insights, 'Regulatory Reporting Automation' — reproduced for illustrative purposes
Engagement management and resource planning
Forecast engagement overruns and optimise staff allocation.
ROI
Process
Aggregate practice data
Time records, budgets, deadlines, staff skills, and engagement history consolidated from practice management systems
Forecast and optimise
AI models predict engagement overruns, staff bottlenecks, and deadline risks before they materialise
Recommend actions
Resource reallocation suggestions and early warnings delivered to partners and engagement managers
Sources
Based on published findings: McKinsey, 'Professional Services AI', 2024; BCG X, 'AI-Driven Practice Management' — reproduced for illustrative purposes
Global Assurance Technology Leader, EY
Panos Kakoullis
"Microsoft Azure AI is enabling us to reimagine the audit. By applying machine learning to full populations of transactions rather than samples, we are identifying anomalies and risk patterns that traditional audit procedures would miss. This is not incremental improvement. It is a fundamental shift in audit quality and coverage."
Originally published: Microsoft Customer Stories — EY — reproduced for illustrative purposes
How we work in accounting and professional services environments
Accounting AI is only valuable if it meets the standard of evidence your partners and regulators expect. We start by mapping your existing data flows, identifying the one engagement workflow where AI will save the most hours, and building it with audit trails from day one.
Everything we build runs on your cloud tenant. Your client data, your workpapers, your regulatory filings. None of it leaves your environment. Your information security team and regulators can audit the system directly.
01
Data and workflow mapping
We assess your GL, ERP, and practice management systems, identify the highest-value automation opportunity, and map it to your regulatory and quality obligations.
02
30-day proof of concept
A working AI agent on your cloud, connected to your financial data, with demonstrable output in 30 days.
03
Governance by design
Audit trails, workpaper documentation, and explainable outputs built in from the start. Structured for partner review and regulatory inspection.
04
Scale in 12-18 weeks
From one validated engagement workflow to measurable efficiency gains across your audit, tax, or advisory practice.
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Frequently Asked Questions
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