We are the Cliff.
Multinational Group
Financial Transformation with AI
Multinational Group is a conglomerate present in multiple countries with activities across diverse sectors. Under this corporate umbrella, 180 companies coexist, each with their own accounting practices, time zones, and local regulations. As the group has grown, financial tasks—especially results consolidation—became increasingly complex and slow.
The previous reality was a large puzzle of Excel and manual processes that took five days each quarter to unify data from each subsidiary. If information arrived late, decisions were delayed too. And in a global market, that means losing agility to detect risks, seize opportunities, and react in time.
How to consolidate 180 subsidiaries into a single reliable financial report?
This was the question posed by Group’s management when seeking solutions that would provide immediate financial visibility and reduce dependence on manual processes. Standardization was complicated by the great heterogeneity of subsidiaries and the lack of automated validation mechanisms.
To address these challenges, the multinational group trusted The Cliff. The objective was clear: simplify consolidation and make a leap toward data intelligence, integrating information from all subsidiaries into a single platform.
Phase 1: Automation and Standardization
Direct integration with local systems: Instead of collecting dozens of Excel sheets from each subsidiary, The Cliff’s platform extracted essential data (financial statements, cash flows, variation analysis) directly from ERP and accounting systems.
Automatic validation and compensation rules: The system detected duplications, intercompany transactions, and obsolete references, correcting inconsistencies in seconds.
Hierarchical consolidation: All information flowed progressively, from the smallest subsidiary to the parent company, without the need to manually review each level.
Phase 2: Artificial Intelligence for Decision Making
Predictive analysis and simulation models: The platform analyzed large volumes of historical data, allowing detection of risks—for example, unusual performance variations—and simulation of future scenarios (currency changes, margin adjustments, etc.).
Natural language queries: Executives and analysts could ask direct questions (for example, “What is the EBITDA evolution in the last semester?”) and receive quick answers with updated visualizations.
Dynamic dashboards: Each subsidiary, and especially the parent company, could consult real-time dashboards to see the consolidated financial situation, compare subsidiaries, identify trends, and prioritize actions.
From 5 days to 1 minute: tangible results
The solution developed for Midis Group represented a radical change in how financial information is collected and processed:
Ultra-fast consolidation: The process that required five days of quarterly work is now completed in less than a minute, opening the door to weekly or even daily closings.
Constant and reliable visibility: By automating most manual tasks, human errors and duplications were minimized, offering a consistent database.
More agile decisions: Artificial Intelligence facilitates real-time diagnostics and projections, increasing the ability to anticipate risks and opportunities.
Operational cost savings: The financial team focused their efforts on strategic analysis instead of spending hours reviewing and balancing spreadsheets.
Enhanced regulatory compliance: With a centralized repository, audits and controls became simpler and more transparent, reducing the risk of non-compliance.
