AIGRAIL develops compliance software for UK and European businesses. From AI governance to financial management, we simplify complex regulatory challenges.
Our products: MTDBuddy (HMRC MTD), EU AI Act Compliance Checker, and the AIGRAIL AI Governance Framework.
Automated HMRC VAT Compliance for UK Businesses
MTDBuddy simplifies Making Tax Digital compliance with direct HMRC integration, automated VAT calculations, and AI-powered document processing. Built for sole traders, small businesses, and accounting professionals.
Submit VAT returns via Making Tax Digital API
Real-time VAT tracking and period management
OCR and ChatGPT Vision for document processing
Monitoring, alerts, and audit trails
Automatic transaction import and categorization
Starter, Professional, and Enterprise plans
A comprehensive approach to managing AI systems responsibly, aligned with international standards and regulatory requirements.
Structured risk assessment and mitigation strategies aligned with international standards like ISO/IEC 42001 and NIST AI RMF.
Meet compliance obligations under EU AI Act, ISO 42001, and other emerging AI regulations with confidence.
Foster stakeholder trust through transparent AI operations and clear accountability frameworks.
Ensure AI systems respect human rights, values, and promote equitable treatment across all use cases.
Build robust AI systems that are secure against manipulation and ensure operational safety.
Real-time metrics, dashboards, and scheduled audits to maintain ongoing compliance and performance.
Get immediate compliance assessment for your AI systems with our specialized EU AI Act platform — your gateway to the AIGRAIL ecosystem.
20+ question compliance questionnaire with weighted scoring
Detailed compliance reports with gap analysis and recommendations
AI-powered transparency notices, model cards, and risk assessments
Upload and track compliance documentation with audit trails
A structured approach to implementing AI governance across your organization.
Develop organizational AI mission and align goals with enterprise strategy.
Map AI use cases, value drivers, and identify key stakeholders and impact areas.
Define data architecture including ownership, quality, and lineage requirements.
Define infrastructure, platforms, and tooling required for AI governance.
Identify potential AI solutions and prioritize based on risk, value, and feasibility.
Create roadmap to implement prioritized solutions with defined transition states.
Define controls, audits, oversight bodies, and enforce compliance requirements.
Train staff, manage organizational change, and establish feedback loops.