Finance teams know the feeling: month-end arrives, and suddenly everyone’s chasing numbers across spreadsheets, reconciling mismatched data, and hoping nothing slips through. The consolidation report that should take days stretches into weeks. Meanwhile, leadership wants answers yesterday. This gap between what finance delivers and what the business needs has pushed many organizations toward AI-driven EPM solutions—not as a nice-to-have, but as the only realistic path forward.

The problems are familiar to anyone who’s lived through a financial close. Budgeting cycles drag on for months. Data sits in disconnected systems that don’t talk to each other. Manual aggregation introduces errors that surface at the worst possible moments.

Wei-Chuan Foods Group dealt with exactly this situation. Heavy manual workloads consumed their finance team’s time, and budgets rarely aligned with actual business strategy. LAWSON China faced a different version of the same problem: rapid expansion across stores and regions made comprehensive budgeting nearly impossible with their existing tools.

These aren’t isolated cases. Most enterprises running traditional consolidation processes encounter some combination of data integration failures, reconciliation delays, and reports that arrive too late to inform real decisions.

AI-driven EPM solutions attack these problems at their source. EVOX, for instance, automates the repetitive work that bogs down finance teams—data collection, validation, currency conversions, intercompany eliminations.

The results speak for themselves. Wei-Chuan Foods Group moved to real-time business-finance integration. LAWSON China achieved 95% process automation and cut their budgeting cycle time by 60%.

Cloud solutions work well for many applications, but financial consolidation data carries particular sensitivity. Regulatory requirements, competitive intelligence, and simple risk management all argue for keeping certain information close.

EVOX addresses this through native on-premise deployment with local AI capabilities. Your data stays within your environment. You control backups, access, and security protocols. The system protects against external threats while giving you the AI-driven EPM benefits that cloud-only solutions offer.

This matters especially for organizations in regulated industries or those operating across jurisdictions with varying data residency requirements.

Good consolidation reports do more than add up numbers. They reveal what’s actually happening across business units, product lines, and geographies.

EVOX enables multi-dimensional analysis that goes deep without sacrificing speed. Wei-Chuan Foods Group gained SKU-level cost accuracy—the kind of detail that changes how you think about pricing and product mix decisions. LAWSON China achieved visibility into individual store performance across regions, supporting both top-down targets and bottom-up planning from operators who understand local conditions.

This granularity matters because strategy lives in the details. A consolidated number tells you what happened. Dimensional breakdowns tell you why and point toward what to do next.

《LAWSON’s Comprehensive Budgeting Journey》

New financial systems often promise transformation but deliver eighteen-month implementation projects that drain resources and patience. EVOX takes a different approach through zero-code modeling.

Organizations can go live in weeks rather than months. The platform supports faster financial close processes, more accurate forecasting, and compliant consolidation without requiring armies of consultants or custom development.

Wei-Chuan Foods Group saw immediate improvements in budgeting efficiency and reduced labor costs. Their finance team shifted from data wrangling to actual analysis—the work that creates value rather than just documenting it.

Espero Technology designed EVOX for long-term partnership, not just short-term fixes. The platform’s cloud-agnostic architecture means you’re not locked into infrastructure decisions that might not make sense in five years.

The track record provides some confidence: successful deployment across 500+ enterprises in 20+ industries. Backing from IDG Capital and Sequoia China signals that sophisticated investors see staying power in the approach.

For finance leaders thinking about where their function needs to be in three to five years, AI-driven EPM represents the direction of travel. The question isn’t whether to adopt these capabilities, but how quickly you can get there.

Ready to move beyond manual consolidation processes? Espero Technology’s EVOX platform can secure your financial data, streamline your close process, and give your team time back for strategic work.

Contact us for a personalized consultation or live demo.

Tel: +65 8015 5251 | Email: marketing@esperotech.com

AI-driven EPM solutions handle the tasks that consume most of a finance team’s close time: pulling data from multiple sources, validating entries against expected ranges, reconciling intercompany transactions, and converting currencies. Automation catches discrepancies that humans might miss when tired or rushed. The practical result is consolidation that happens in hours rather than days, with fewer errors requiring investigation after the fact.

Control and compliance drive most on-premise decisions. Financial consolidation data often includes sensitive competitive information and falls under regulatory requirements about data residency and access. On-premise deployment with local AI—like EVOX offers—keeps that data within your security perimeter while still providing modern automation capabilities. You manage who accesses what, how backups work, and how the system connects to other internal tools.

Each entity in a consolidation typically runs its own systems, uses its own chart of accounts, and operates in its own currency. Getting clean data requires mapping different account structures, eliminating intercompany transactions, and handling currency translation—all before you can produce a consolidated view. EVOX addresses this through automated data integration and multi-dimensional analysis that preserves entity-level detail while producing accurate group-level reports. The zero-code approach means you can adjust for new entities or changed structures without waiting for IT development cycles.