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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.

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.

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.

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.

  • 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.

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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