Experts en intégration et déploiement de systèmes d'information

INFRASTRUCTURE & DEVOPS

SECURITY, COMPLIANCE & GOVERNANCE

COMPUTER VISION & INTELLIGENT INSPECTION

MIGRATION & MODERNIZATION

ARTIFICIAL INTELLIGENCE & AUTOMATION

ASSET MANAGEMENT & MAINTENANCE (EAM)

ESG & SUSTAINABILITY

AUTOMATION SCRIPTS: INTELLIGENT CUSTOMIZATION

From Manual Processes to Intelligent Maintenance Asset-intensive industries face a challenge: 47% report less downtime with advanced asset management, yet many still rely on manual processes. The data: companies using Maximo report 522% ROI over 5 years and $13.9M annual benefits. This ROI requires strategic deployment of Automation Scripts combined with Maximo Application Suite 9.1's AI capabilities.

THE AI ADVANTAGE

Centralizing ESG data is just the beginning. The real power emerges when AI transforms raw inputs into actionable insights. IBM Envizi combines deterministic pipelines with AI-assisted automation to handle classification, extraction, and emissions calculations across Scopes 1, 2, and 3. This transforms ESG reporting from compliance checklist into strategic decision-making.

FOUR AI CAPABILITIES THAT REDEFINE MAINTENANCE

The Digital Transformation Imperative Digital transformation is fundamentally redefining how organizations manage assets. Traditional asset management approaches rely on scheduled maintenance and reactive response. Modern approaches leverage artificial intelligence to anticipate failures before they occur—shifting from crisis management to strategic asset stewardship. IBM Maximo Application Suite 9 (MAS 9) represents this evolution. By integrating AI, advanced analytics, and automation, MAS 9 delivers a 360-degree view of asset health, enabling organizations to reduce costs, anticipate failures, and achieve operational excellence.

How to Build Intelligent, Self-Triggered Maintenance Workflows

In today's digital maintenance landscape, organizations strive to automate decision-making and operational workflows. The result: intelligent operations that respond in real-time without human intervention. By combining AI Broker and Python scripting in IBM Maximo Application Suite (MAS), organizations can create self-triggered Work Orders based on real-time conditions and AI-driven insights. This integration transforms maintenance from reactive to autonomous—reducing downtime, human intervention, and operational costs.

✅ Ce qu’est l’intégration de systèmes (ERP, CRM, BI, etc.) ✅ Défis fréquents (compatibilité, silos de données, processus legacy) ✅ Méthodologie recommandée ✅ Cas d’usage ou retours d’expérience ✅ Bonnes pratiques & conseils de Sinorfi

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