Tax Support

Automated tax reconciliation and compliance review across fragmented tax data and regulatory content.

Business impact

• Audit risk — Looker identifies discrepancies such as mismatched tax amounts, classifications, or missing records so users can spot potential audit risk immediately.
• Compliance review efficiency — The article says centralized data libraries and advanced BI tooling help scale compliance operations and accelerate business value.

Data requirements

• Real-time invoice data (tabular) — Compared against periodic tax reporting to find mismatches.
• Periodic tax filings and returns (tabular) — Used as the reporting side of the reconciliation process.
• Expert-curated regulatory content (text) — Structured in BigQuery and used in the Compliance Hub.
• Compliance data across the organization (tabular) — Unified into a common data library for analysis and comparison.

AI methods and techniques

• Reconciliation workflow automation — Used to compare real-time invoice data with periodic tax reporting and identify discrepancies.
• Conversational analytics — Looker is used to let users query and explore compliance data without SQL expertise.
• Natural language interface — The Reconciliation Agent is designed to let users adapt insights and trigger corrective workflows through natural language.
• Automated corrective workflows — The agent is intended to initiate upstream and downstream corrections when issues are found.

Industries

Real-world evidence

3 documented case studies on record.

Companies using this: Thomson Reuters, Consumer Affairs Ministry (Government of India), GitLab.