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c837a6_3f53cdbff83b47b19a97bd35c767333c~mv2.avif

Now We’re Shipping Insights!

Arital delivered a repeatable, standards‑based Oracle ERP reporting suite in 2025 that uses AI to enrich reports with vetted external data, supports FP&A and board-level decisioning, and was completed on time and within budget through close customer collaboration and an Oracle partnership.

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Project snapshot

Client need: Consolidated, auditable financial and revenue reporting that could be reused across business units and produce board‑ready summaries.
Our delivery: A modular reporting framework on Oracle ERP with standardized templates, a governed semantic layer, and AI enrichment that calls curated external datasets to produce executive summaries and anomaly flags. Delivered in 2025, on time and within budget.

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Challenge and objectives

The client faced fragmented reports, slow consolidation, and a lack of external context for revenue forecasting and stress testing. Objectives were repeatability, traceability, faster insight for FP&A, and board‑grade summaries to support strategic decisions.

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Solution approach 

  • Standards and repeatability: Packaged report templates and a governed semantic layer so new reports reuse validated models and filters. This follows Oracle’s recommended mix of OTBI, BI Publisher, and Fusion Analytics Warehouse for balancing ad‑hoc and governed reporting.

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  • AI enrichment: Lightweight, auditable AI routines that pull curated external indicators (market indices, sector KPIs) and generate concise executive summaries and anomaly alerts for FP&A. Models are documented and source‑tagged for explainability.

  • Delivery model: Joint governance with the customer and Oracle, iterative sprints, and a reuse catalogue to accelerate future rollouts.

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Results (original project data)

  • Time & budget: Delivered within the agreed schedule and budget through coordinated governance and vendor partnership.

  • Operational impact: Standardized reports reduced authoring time by an estimated 40% for core financial packs (internal measurement).

  • Decisioning: AI summaries shortened board briefing preparation time by 60%, enabling faster FP&A recommendations (internal measurement).

  • Governance: All reports include traceable data lineage and validation rules to support audits.

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