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How Keyrus helped a major Benelux renewable energy producer cut entity integration from hours to minutes and bring full transparency to cost allocation across HQ, business units, and intercompany charges.
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How Keyrus helped a major Benelux renewable energy producer cut entity integration from hours to minutes and bring full transparency to cost allocation across HQ, business units, and intercompany charges.
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One of the largest independent green energy producers in the Benelux was scaling rapidly through organic growth and strategic acquisitions. Operating across solar, wind, charging, and battery energy storage (BESS), the organization had grown to more than 325 production sites, a portfolio of 1,035 MW, and over €1,200 million in investment.
That growth created a financial reporting environment of considerable complexity. Over 70 local ledger submissions flowed in from 2 different software packages, each entity maintaining its own chart of accounts. The group chart of accounts was in English, local ledgers were in Dutch, and the parent consolidation operated in French. On top of consolidation, the organization managed a web of cost allocations — in headquarters for services, to business units for revenue generation, and between business units for intercompany charges, including allocations “By Project” for ICT costs and “By Desk” for Facilities costs.
The finance team needed two things: a way to onboard newly acquired entities into group reporting without weeks of manual mapping work, and a structured, transparent approach to cost allocation that the business — not IT — could own and scale.
Every acquisition brought the same bottleneck. Each new entity arrived with its own chart of accounts, its own account codes and descriptions, and its own language. Mapping these accounts to the group’s consolidated reporting structure was a time-consuming exercise with a high potential for inconsistencies across entities. As the organization grew, simple reporting structures became more complicated, creating a constant need to review historical mappings and accommodate greater granularity. The finance team was spending significant effort on a repetitive task that slowed down the close and created risk.
On the cost allocation side, the organization had many allocations with a similar structure but operating in different layers, using different driver values, with selections across multiple dimensions, and targeting a single dimension. Without a unified framework, each new allocation added complexity rather than building on what was already in place. Receiving managers lacked visibility into why costs were being allocated to them, and reconciliation was manual.
Keyrus consultants delivered two solutions designed to put the finance team in control:
For consolidation, Keyrus embedded AI-powered account mapping directly into the organization’s existing data integration workflow. Rather than building a separate tool, the AI automapping replaced the manual account lookup step — so the process the finance team already followed simply became faster. The AI proposes ranked mapping options across languages and account structures, and end users review, compare against prior manual mappings, and adjust before finalizing. The finance team stays in the driver’s seat; the AI handles the heavy lifting.
For cost allocation, Keyrus built a scalable allocation framework that handles multiple allocation types — including manual drivers and FTE-based drivers — through a single, consistent structure driven by master data. The framework includes built-in check reports that serve two purposes: an overview report that explains the why of each allocation to the receiving managers (with the ability to drill down on the source), and a detailed reconciliation report where the difference must equal zero. New allocations are created through master data configuration, not custom development, and the same framework is reused across actuals, budget, and forecast cycles.



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