AWS re:Invent 2025 delivered a clear message. Artificial intelligence has become a foundational layer across the entire AWS ecosystem. Every major announcement reinforced the connection between intelligence, automation, observability, and secure cloud operations. For SAP customers, the implications are significant. SAP workloads running on AWS will increasingly require AI-assisted operations, unified data visibility, and continuous optimization across applications, data, and infrastructure.
These developments strongly align with IT-Conductor’s long-standing focus on automated operations, real-time orchestration, and deep SAP-aware observability. The announcements described below highlight how AWS is building the intelligence layer while partners like IT-Conductor provide the operational execution layer that turns intelligence into action.
AWS expanded the Amazon Nova model family with new capabilities designed specifically for enterprise environments.
Together, the Nova family forms a consistent intelligence foundation that can support a wide range of business applications.
One of the most impactful announcements was Amazon Nova Forge. Nova Forge enables organizations to build their own model variants by combining proprietary data with curated Amazon datasets. This approach eliminates the need to train full models from scratch and allows the creation of domain-specific intelligence for scenarios such as SAP operations, process optimization, change analysis, and knowledge automation.
AWS also introduced Nova Act. Nova Act enables the creation of reliable AI agents that can operate browser-based interfaces and complete multi-step workflows with high stability. This capability is highly relevant for SAP-related automation because many SAP processes depend on web-based launchpads, operational dashboards, and third-party ITSM systems.
As the Nova ecosystem evolves, these models and agents will increasingly provide the reasoning layer for enterprise operations, while platforms like IT-Conductor supply the real-time system context and orchestration engine that executes actions safely and consistently.
AWS announced the largest expansion of Amazon Bedrock to date. Eighteen new models were added from providers, including Mistral, Google, NVIDIA, MiniMax, Moonshot, Qwen, and OpenAI. This diversity allows SAP customers to select the most appropriate model for tasks such as log summarization, process intelligence, incident explanation, documentation generation, and conversational assistance.
Bedrock’s value lies in providing a standardized interface for generative models. Enterprises can embed AI into workflows and switch models when needed without rewriting integrations. This is especially critical for SAP environments that evolve continuously but require long-term architectural stability.
When combined with IT-Conductor, Bedrock can power assistants that understand SAP landscapes. IT-Conductor provides application telemetry, job context, transport activity, and health information. Bedrock supplies the intelligence required to interpret complex operational signals and suggest corrective or preventive actions.
Security was a central theme across re:Invent 2025. AWS introduced a new class of long-running frontier agents that can perform continuous analysis and operational tasks. These include the AWS Security Agent, the Kiro Autonomous Agent, and the AWS DevOps Agent. Their capabilities range from design reviews and code analysis to environment management and incident support.
AWS expanded GuardDuty with advanced threat detection for EC2 and ECS, and enhanced Security Hub with near real-time risk analytics. IAM Policy Autopilot and outbound identity federation were introduced to simplify identity governance and enforce least privilege access.
These announcements significantly improve the security posture at the AWS infrastructure level. However, application-level signals, such as SAP job failures, transport conflicts, RFC issues, integration errors, and internal SAP health metrics, remain outside of AWS visibility. IT-Conductor complements these new security capabilities by correlating AWS signals with SAP-specific events, creating a complete view of operational and business impact.
CloudWatch introduced several enhancements that unify operational and security data. Organizations can now use CloudWatch pipelines to ingest, transform, and route logs and telemetry across environments. CloudWatch integrates with Amazon S3 Tables, Athena, and the Amazon Security Data Lake to provide unified analytics across infrastructure and security domains. A new AI-powered query generator helps teams analyze logs without writing complex queries manually.
For SAP customers operating large landscapes, these improvements streamline the detection of infrastructure anomalies, OS level warnings, and network-related issues. However, SAP application events such as ABAP dumps, ST22 errors, SM21 logs, HANA internal metrics, and background job failures remain outside CloudWatch’s native scope.
IT-Conductor fills this gap by consolidating SAP application-level telemetry with AWS operational data. This creates full visibility across both the infrastructure and the SAP application layer and enables more accurate root cause analysis.
SAP’s presence at re:Invent 2025 focused heavily on business AI, modernization, and the integration of applications, data, and AI on AWS. SAP highlighted modernization strategies for SAP workloads on AWS, clean core principles, RISE with SAP, and SAP BTP on AWS as essential building blocks for the next-generation enterprise. AWS emphasized several SAP-specific capabilities that support this vision. AWS Systems Manager for SAP Configuration Management validates SAP HANA configuration against AWS best practices. SAP Server Auto Scaling helps optimize infrastructure resources based on workload demand. Amazon Q Developer introduced features that assist with identifying SAP custom code technical debt and accelerating modernization.
These developments confirm that SAP modernization extends beyond infrastructure and increasingly involves intelligence-assisted operations, quality improvement, and continuous optimization.
IT-Conductor plays a critical role in maintaining stability throughout this modernization journey. Automated checks, orchestrated remediation, transport governance, and real-time SAP upgrade orchestration with SUMMon ensure that AI-enabled SAP landscapes remain reliable and audit-ready.
Re:Invent 2025 introduced a new operational model for SAP on AWS. Artificial intelligence is becoming integrated across compute, observability, security, and development.
SAP customers are encouraged to move toward AI-assisted operations. AWS observability is becoming more unified, but the SAP application context remains essential to understand real business impact. Automation and orchestration are no longer optional. They are foundational to operating mission-critical systems at scale.
AWS is clearly building the intelligence layer. IT-Conductor provides the orchestration and execution layer that turns intelligence into action across SAP and hybrid cloud environments. Together, these capabilities enable faster, safer, and more automated SAP operations.
Organizations that adopt this model will reduce operational workload, improve reliability, and prepare their SAP landscapes for the next generation of business AI.