AuditMind detects payment anomalies, CIS compliance failures, VAT irregularities, and duplicate invoices in real time — purpose-built for small and medium construction companies in the UK.
The UK construction sector is the largest source of HMRC compliance failures. Existing tools are built for generic businesses — not the complexity of CIS deductions, reverse charge VAT, and multi-tier subcontracting.
Manual CIS returns introduce systematic errors exposing firms to HMRC penalties of up to £3,000 per filing.
Ghost workers, duplicate invoices, and irregular patterns go undetected in spreadsheet-based systems used by 76% of SME contractors.
Project cost misallocation inflates margins and distorts cash flow forecasting without any early warning indicators.
The 2021 domestic reverse charge for construction remains widely misapplied, creating declaration risks SMEs cannot manage manually.
AuditMind surfaces anomalies, flags compliance breaches, and generates actionable audit trails — without replacing the tools your team already uses.
Isolation Forest ML models identify unusual patterns in invoices, subcontractor claims, and retention releases as they occur.
AI / MLEvery transaction receives a model confidence score (0–1), showing how strongly the AI flags it as anomalous for precise prioritisation.
PrecisionNamed rules (CIS-001, DUP-001, VAT-001, ANO-001) fire against each transaction, producing a traceable audit log.
HMRC AlignedTransaction-level classification across Standard, Reverse, and Zero-rated supplies with live VAT return reconciliation.
VAT Act 1994Separate SME Owner and Accountant views — simplified summaries for owners, full detail breakdowns for advisors.
Role-BasedAll results, confidence scores, and rules-fired logs are downloadable as structured CSVs ready for HMRC correspondence.
Audit-ReadyFive steps from CSV upload to a full risk report — no manual setup required.
Log in securely at the platform portal. Your session is protected and role-specific dashboards load automatically.
Drag and drop your transaction file containing Amount, Invoice ID, VAT Code, and Supplier Type. The platform validates and normalises data automatically.
Isolation Forest ML detects anomalies, confidence scores are calculated, and four rule checks run in parallel — duplicates, VAT, CIS, and anomaly flags.
Results load instantly with metric cards, four charts, and three switchable views — SME summary, Accountant full detail, and Rulebook fired log.
Export full results, flagged-only transactions, or the rules-fired log as CSV files ready for audit preparation or HMRC correspondence.
AuditMind's rule engine is built from the ground up around UK construction finance legislation.
CIS deduction verification, registration checks, and high-value subcontractor flagging aligned with HMRC guidance.
Automated classification under the 2021 VAT domestic reverse charge rules across all supply types.
Multi-dimension deduplication across Invoice ID and amount — catching double-billing before payment approval.
Isolation Forest models with confidence scoring at 0.50 and 0.70 thresholds for precise anomaly prioritisation.
MTD-compatible data pipelines with digital linking and audit trail requirements implemented ahead of mandate scope.
Every rule firing is documented with rule ID, severity, and recommended remediation for accountant and HMRC use.
AuditMind Intelligence Ltd is a UK-based technology startup developing an AI-driven financial risk intelligence platform designed specifically for the construction industry.
Founded after direct experience of the compliance failures and payment disputes that routinely affect SME contractors — problems that existing general-purpose accounting software is structurally unable to address.
By combining Isolation Forest machine learning with a structured compliance rulebook built around UK construction regulations, AuditMind delivers an intelligence layer that protects firms from financial risk before it becomes a liability.
Domain expert in UK construction finance, CIS compliance, and subcontractor payment management. Builder of the AuditMind AI platform with deep expertise in applied machine learning for financial risk detection in the construction sector.
Sign in to the platform, upload your CSV, and see your full risk report in minutes.