Project Beachside — AI-Powered Backend Automation & Operational Optimization for Aramco

Manu
5 min readMar 29, 2025

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Client Overview: Aramco

Aramco, one of the world’s largest and most influential integrated energy and chemicals companies, operates a highly complex global network of supply chains, refineries, distribution hubs, and customer service channels. Given the scale of its operations, Aramco faced growing challenges in backend process inefficiencies, data fragmentation, and the need for AI-driven operational insights.

To stay ahead in an increasingly digitized and AI-driven business landscape, Aramco sought to modernize its backend operations, reduce manual dependency, and leverage AI for process automation and intelligent decision-making. This led to the launch of Project Beachside, a strategic initiative in partnership with Cushyly to:

Automate backend workflows and reduce human intervention.
Leverage AI-powered analytics for predictive decision-making.
Enhance process efficiency across finance, supply chain, and customer service.
Seamlessly integrate AI automation with existing ERP and CRM systems.
Implement a robust QA framework to ensure a smooth and error-free transition.

By transforming its backend systems, Aramco aimed to significantly boost efficiency, reduce operational costs, and enable smarter business processes.

Challenges: Complexities in Aramco’s Backend Operations

With thousands of employees, multiple global facilities, and vast logistical operations, Aramco faced growing difficulties in managing its backend systems. The primary challenges included:

1. Manual, Repetitive Backend Processes Leading to Delays

🔹 Critical functions such as invoice processing, procurement approvals, and contract management relied heavily on manual data entry and validation.
🔹 Reconciliation of financial transactions between multiple departments took weeks instead of days.
🔹 The lack of automation led to bottlenecks in decision-making and operational inefficiencies.

2. Inefficient Data Management & Lack of AI-Driven Insights

🔹 Data silos across departments made it difficult to gain a unified operational view.
🔹 Sales, supply chain, and finance teams operated on separate systems, reducing visibility and coordination.
🔹 Aramco lacked an AI-driven decision-making framework to anticipate demand fluctuations, optimize resource allocation, or predict maintenance needs.

3. Lack of Seamless Integration Between ERP, CRM & AI Systems

🔹 Aramco’s business applications included Salesforce for CRM, SAP for ERP, and legacy backend systems, all functioning in isolation.
🔹 Teams struggled with duplicate data entries, inconsistencies, and a lack of real-time updates.
🔹 The absence of a centralized AI-driven automation layer meant that workflows remained largely disconnected.

4. Ensuring High-Quality AI Implementation & System Reliability

🔹 Any AI-powered automation system had to be rigorously tested for accuracy, reliability, and compliance with Aramco’s strict IT governance.
🔹 The system had to scale seamlessly without disrupting ongoing operations.
🔹 Quality assurance (QA) testing was essential to eliminate errors before full deployment.

Solution: AI-Powered Backend Automation & Process Optimization

Cushyly designed and implemented Project Beachside to deliver an AI-driven automation strategy that transformed Aramco’s backend operations. The solution included:

🔹 Intelligent Workflow Automation

Automated invoice & procurement processing — AI-powered OCR (Optical Character Recognition) and NLP (Natural Language Processing) tools digitized and validated invoices, reducing processing time by 80%.
Contract automation — AI models analyzed contract documents to identify key terms, deadlines, and compliance risks, eliminating human errors in legal reviews.
Smart supply chain tracking — Implemented AI-based tracking & anomaly detection to predict shipment delays and optimize logistics.

🔹 AI-Driven Operational Insights & Predictive Analytics

Demand forecasting & inventory optimization — AI algorithms analyzed historical trends, external market factors, and real-time logistics data to enhance inventory management.
Predictive maintenance scheduling — AI detected patterns in equipment usage and forecasted failures before they occurred, reducing unplanned downtime by 35%.
AI-powered risk management — Analyzed financial transactions, procurement contracts, and vendor interactions to detect anomalies and prevent fraud.

🔹 Seamless System Integration Across Enterprise Applications

Unified ERP & CRM data flow — Cushyly built an automated integration layer that connected Salesforce, SAP, and legacy applications to provide a single source of truth.
AI-powered API framework — Created an intelligent API layer that allowed secure, real-time data exchange between different systems.
Process standardization across departments — Defined standardized workflows that ensured consistent automation across finance, sales, and supply chain functions.

🔹 Comprehensive Quality Assurance (QA) Framework

Cushyly implemented a rigorous QA strategy to ensure Aramco’s AI automation was error-free, scalable, and secure:
Functional Testing: Ensured AI models accurately processed invoices, contracts, and supply chain data.
Integration Testing: Validated seamless data flow between AI automation, SAP, and Salesforce.
Security & Compliance Testing: Ensured the AI models met Aramco’s strict cybersecurity protocols.
User Acceptance Testing (UAT): Collaborated with Aramco teams to ensure smooth adoption and training.

Impact & Results: Business Transformation at Scale

Within just six months of implementation, Project Beachside delivered tangible business improvements across Aramco’s operations:

🚀 80% reduction in manual processing time — AI automation streamlined invoicing, contract approvals, and procurement.
🚀 35% decrease in unplanned equipment downtime — Predictive maintenance reduced operational disruptions.
🚀 25% faster decision-making — AI-powered insights optimized sales, supply chain, and financial planning.
🚀 99.9% accuracy in automated transactions — Cushyly’s QA framework ensured a seamless AI deployment.
🚀 Seamless enterprise system integration — Salesforce, SAP, and AI-driven automation tools now operate in real-time sync.

By eliminating inefficiencies, reducing manual intervention, and leveraging AI-driven decision-making, Cushyly helped Aramco achieve significant operational gains while setting the foundation for future AI-driven growth.

Cushyly partnered with Aramco on Project Beachside to automate backend operations with AI, reducing manual effort by 80% and optimizing decision-making

Conclusion: How Cushyly Positioned Aramco for the Future

Through Project Beachside, Cushyly successfully implemented a scalable AI-powered automation framework that enabled Aramco to:

Reduce operational costs by minimizing manual tasks.
Enhance efficiency through AI-driven decision-making.
Future-proof operations with intelligent automation.
Ensure high-quality AI deployment with end-to-end QA.

By leveraging AI, automation, and seamless enterprise integration, Cushyly positioned Aramco as a technology-driven industry leader in operational excellence.

🚀 Ready to revolutionize your operations with AI? Let’s collaborate!

Cushyly specializes in AI implementation, backend automation, and enterprise integrations to help businesses achieve scalable, intelligent automation. Connect with us today!

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Manu
Manu

Written by Manu

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Co-Founder @Cushyly

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