Oracle Fusion AI Services
Oracle Fusion AI Services
Enhance & Optimise · Agile · Sprint-Based · Full-Stack
Continuously improve and evolve your Oracle Fusion Cloud environment. eAppSys delivers AES — configuration changes, OIC integration development, APEX and Redwood extensions, reporting, new module enablement, and Oracle quarterly feature adoption — using an agile product model that delivers the highest-value items first, every sprint.
Home› Manged Support › Oracle Fusion AES
AES — Four Enhancement Categories
Oracle Fusion Application Enhancement helps organisations continuously improve and optimise their Oracle Fusion Cloud environment. eAppSys delivers configuration changes, OIC integration development, APEX and Redwood extensions, reporting, new module enablement, and Oracle quarterly feature adoption through an agile, sprint-based delivery model.
eAppSys delivers AES enhancements across all Oracle Fusion Cloud pillars — module-specialist consultants for every enhancement type, with every deliverable feeding into the shared backlog and sprint cycle.
Talk to our Oracle EBS experts today
Download our brochure to explore eAppSys services, AI-powered solutions, and digital transformation expertise.
eAppSys delivers AES using the same agile product model Oracle uses to build Fusion — sprint-based, backlog-driven, with transparent velocity reporting and capacity flexed between run and change as needed.
eAppSys embeds its own platform accelerators directly into AES delivery — reducing sprint effort, improving promotion quality, and enabling AI-powered enhancement delivery.
Configuration Migration
Automates Fusion configuration promotion — DEV to SIT to UAT to PROD. Eliminates manual configuration errors that cause UAT and production defects in every sprint cycle.CI/CD · Sprint Deployment
Controlled CI/CD pipelines for OIC, BIP reports, and APEX — automated promotion across environments with regression gates before production deployment. Every sprint goes out cleanly.Data Migration · Enrichment
AI-enhanced data migration — used within AES for data load tasks, master data enrichment, and bulk operations too large for manual HDL. Full source-to-target reconciliation.AI Development · APEX Agents
eAppSys AI agent framework — used within AES to build AI-powered APEX applications, Oracle AI agent workflows, and automated decision-support tools using OCI GenAI and 26ai.Knowledge · OGL
Accelerates Oracle Guided Learning content creation and knowledge base maintenance as enhancements are delivered — building self-service that reduces AMS ticket volume over time.Test Data · GDPR
Oracle-aware PII masking — all AES development and testing performed against masked, GDPR-compliant data. Essential for enhancements touching HCM, payroll, or financial data.
eAppSys delivers AES using an agile product model — sprint-based delivery with a shared prioritised backlog. Enhancement requests, new features, and CI tasks are prioritised by business value and delivered highest-value first in 2–4 week sprints. AMS and AES capacity flexes within the same team — hours tracked and reported separately so business stakeholders see clearly how capacity is split between run and change.
Each Oracle quarterly update includes new features across all modules. eAppSys assesses each release against business objectives — identifying features that deliver value without additional cost. Approved features are configured, tested, and deployed as AES sprint items. OGL content is updated for changed functionality. Every quarterly update cycle becomes a source of business value, not just a stability exercise.
eAppSys AES delivers four categories — Configuration (workflows, approval hierarchies, validation rules, Redwood personalisation); Integration (OIC flows, HCM Extracts, API development); Application extensions (APEX, Visual Builder Redwood, OTBI/BIP reports, OAC dashboards, OGL); and Functional enablement (new module activation, quarterly feature adoption, security design, CI delivery).
When AMS and AES are delivered by the same team, capacity flexes within each sprint — low incidents means more AES delivery; a critical incident means AES pauses. AMS and AES hours are tracked and reported separately so business stakeholders can always see the split and make informed reprioritisation decisions. No artificial separation, no handoff overhead between run and change partners.