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Pason modernized its financial control with Pyplan, unifying accrued revenues, reports and traceability in an agile and intelligent model.

In the energy sector, where each operation generates technical data, costs and obligations associated with complex contracts, financial accuracy is an indispensable requirement. Pason faced a growing challenge: the management of unbilled accrued income, a highly sensitive process for any energy services organization.
Before Pyplan, the company worked with multiple dispersed files, non-standardized structures and manual validations that were time-consuming, increased the possibility of errors and made traceability difficult. The team needed to constantly review, correct and reconcile information, creating bottlenecks at closing, inconsistencies between periods and financial risks in revenue projection.
The lack of a centralized repository prevented us from properly analyzing differences between actual and accrued billing, affecting the visibility needed to make reliable decisions. This scenario exposed Pason to involuntary deviations, frequent rework, and reliance on files that were difficult to maintain and audit.
To move towards modern financial management, Pason defined a clear objective: build an integrated digital model that would allow you to control, project and analyze revenues with precision, enabling intelligent management of the financial cycle.
The company needed:
The logic of FP&A required moving from a reactive process—focused on reviewing errors—to a proactive one, where financial information flows in real time, enabling scenarios, automatic explanations of variations and evidence-based decisions.
It was essential to have a platform capable of modeling complex business rules, integrating heterogeneous sources and automating reconciliation. In short, Pason needed a truly intelligent financial planning tool, built on ordered data and a unified model.
With Pyplan, Pason implemented a comprehensive system of Accrued Revenue Registration and Control, built on a flexible, scalable model fully aligned with FP&A best practices. The solution integrated five key modules: Data Master, Recognized Works, Billing, Pending and Reporting, forming a continuous and traceable flow from the origin of the entry to its materialization.
Pyplan made it possible to unify structures, automate calculations, validate inconsistencies, generate alerts and centralize all financial information in a single environment. The model was adapted to Pason's particular processes, incorporating business rules, dependencies and revenue recognition policies.
In addition, the platform enabled the use of Generative AI and Intelligent Agents, capable of explaining variations between periods, detecting anomalies, generating insights on outstanding revenues, analyzing trends and proposing preventive actions. This raised the reporting process to a new level, giving finance a predictive and prescriptive capacity that was previously inaccessible.
Tactical planning and operational execution were connected: Pyplan consolidated historical data, periodic updates, billing and pending movements, offering immediate visibility and dynamic reports for decision-making. Manual tasks were significantly reduced, closing times were shortened and financial governance was strengthened.
The result was more agile, secure and reliable management: Pason achieved full traceability, reduced rework, eliminated recurring errors, and established a solid financial foundation for its FP&A processes. Automating the revenue stream not only optimized the present, but also empowers the company to project more accurately, anticipate risks and plan its financial future with intelligence.
Elevate your organization's financial accuracy with intelligent models and end-to-end automation.
Discover how Pyplan transforms FP&A processes and empowers decision-making:
👉 https://pyplan.com/es/entre-en-contacto/

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