S. enterprise, manages direct and indirect tax across multiple jurisdictions.
Its finance and tax data sat in separate ERPs and spreadsheets, and every reporting, provision or compliance cycle started with people extracting, cleaning, standardizing and mapping that data by hand. Book-to-tax reconciliation was slow, classification varied by who did it, and getting consistent, current numbers took far more effort than the tax work itself.
XIT Solutions deployed its Complyia platform for a multi-entity U.S. enterprise: locally hosted Llama and Qwen models classify transactions and map accounts across ERP and spreadsheet data, rules run the tax math, and exceptions route to tax professionals.
Less time to clean, standardize and map financial data, measured against manual prep on equivalent datasets.
Faster end-to-end book-to-tax reconciliation on equivalent workloads.
Of transaction records classified correctly with no manual touch, checked against tax-expert review.
- How a Federal Staffing Firm Cut Bid Pricing Error 42% With AITopsail · Healthcare & Life Sciences
- How Relay Found $100K a Month in Missed BillingSynopsis · Construction & Engineering
- How a Finance Team Cut Month-End Close 10 Days to 1QuantFi · Financial Services
- How Element5 Put Agentic AI Inside 21 of 30 Top ProvidersIdeas2IT Technologies · Healthcare & Life Sciences