A global logistics provider’s tax team was drowning in manual invoice validation, wrestling with tens of thousands of documents in different formats and navigating a labyrinth of jurisdiction-specific rules that changed without warning. Multi-day delays in validating invoices compressed month-end timelines, heightened compliance risk, and trapped skilled specialists in low-value review cycles instead of strategic tax planning. By deploying an AI-enabled solution that sits on top of legacy systems via APIs, the organisation automated extraction, classification and validation of invoice data using large language models in the cloud. The result: 95% first-pass accuracy, a faster close cycle, consistent application of tax rules across regions, and freed-up capacity to tackle higher-value work—all without disrupting core finance platforms.

Case Study Source: EY

Problem Statement

A global logistics provider’s tax team was overwhelmed by manual invoice validation across heterogeneous formats and fast‑changing rules, causing multi‑day delays, compliance risk and limited capacity for strategic work.

Goal

Automate invoice validation and modernise tax operations without replacing legacy systems, improving accuracy and speed while freeing specialists to focus on higher‑value activities and standardising tax treatment.

Challenges

Invoices differed by supplier, jurisdiction and country‑specific tax rules, making a repeatable process hard to sustain.

Frequent regulatory changes introduced new filing, reporting and documentation requirements.

Compressed month‑end timelines meant data discrepancies could go unnoticed.

Multi‑day manual validation delayed monthly close and financial reporting.

Skilled staff spent weeks on low‑value reviews, heightening compliance risk and limiting strategic work.

Actions

Designed an AI‑enabled tax solution that integrates via APIs on top of existing finance systems, avoiding rip‑and‑replace.

Ingested PDFs, images and EDI feeds directly from purchase‑to‑pay workflows.

Used large language models in the cloud to classify, extract and validate invoice data against ERP records.

Mapped extracted fields to master data using accelerator libraries to improve matching accuracy.

Routed only true exceptions to an insight dashboard for rapid human review and resolution.

Prepared a contract review agent to scan purchase, construction and fleet‑lease agreements upfront to flag tax exposure earlier and enrich the tax data lake.

Impact:

Freed the tax, accounts payable and audit support teams to focus on higher‑value, strategic activities.

Built confidence to expand AI into upstream contract analysis, accelerating progress toward a fully AI‑enabled tax lifecycle.

Improved accuracy, speed and regulatory alignment across tax operations by removing legacy bottlenecks.

Transforming Tax Operations with Smart Automation

A worldwide logistics business faced a familiar problem. Its tax specialists were drowning in paperwork. Every month, they manually checked thousands of invoices—each one different in format, governed by different rules depending on where it came from. The process took days. Mistakes slipped through. And the team had no time left for the strategic work that actually moves the needle.

The answer wasn’t to rip out their existing systems. Instead, they built an intelligent layer on top. Cloud-based language models now read invoices in any format—PDFs, scans, electronic data—straight from their purchasing system. The technology pulls out key details, cross-checks them against their accounting records, and flags only genuine problems for human review.

The Challenge

Invoice formats varied wildly by supplier and country. Tax regulations shifted constantly, introducing fresh filing and reporting obligations. Month-end deadlines were tight, so discrepancies often went unnoticed until it was too late. Manual checks stretched across several days, delaying the monthly close. Experienced staff burned weeks on routine reviews, raising the risk of non-compliance and leaving little bandwidth for proactive tax planning.

The Solution

The firm chose to overlay its legacy finance platforms with an API-connected solution rather than replace them. The system ingests documents from the procure-to-pay pipeline, applies advanced models to classify and extract invoice data, and validates everything against master records. Pre-built matching libraries improved accuracy. Only real exceptions reach a dashboard, where tax experts can resolve issues quickly. The team also prepared an agent to scan contracts—for purchases, construction projects, and fleet leases—upstream, spotting tax exposures before invoices even arrive.

What Changed

Accuracy jumped to 95 per cent on first pass across tens of thousands of vendor invoices. Month-end closing, which used to drag on for days, now wraps up faster. A single set of rules ensures consistent application of regional tax codes across the entire organisation. Hours once spent on invoice ticking are now redirected to planning and dispute resolution. And all of this happened without disrupting core systems—API integration meant the existing platforms stayed in place.

The Wider Impact

Tax, payables, and audit teams now concentrate on high-value work. Confidence in the approach has opened the door to automating contract review, moving the business closer to an end-to-end intelligent tax lifecycle. Accuracy is up, cycle times are down, and regulatory alignment is stronger—all because manual bottlenecks have been cleared.

The lesson? You don’t always need to start from scratch. Sometimes the smartest move is to augment what you already have.