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AI-Powered Integration Services for SAP Landscapes

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Our AI Integration Solutions

‍AI in enterprise integration is not a single tool, it is a combination of architecture, intelligent monitoring, and AI-enabled integration capabilities. By combining proven SAP integration expertise with practical AI solutions we help organizations modernize their integration environments and introduce AI where it delivers real value.

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The Agent Layer, Built on Your Own Knowledge Base

Generic AI models don't know your landscape. This layer runs on your own enterprise knowledge, documentation, integration patterns, security standards, past incidents, business process context, feeding five specialized agents across operations, development and governance.

All five are running in SAP customer landscapes today, cutting resolution time by up to 40% and development time by up to 30%.

See how the agent layer works
AI Adapter in SAP Integration Suite

The AI Adapter enables integration flows within SAP Integration Suite to securely interact with AI services. This allows integrations to move beyond static rules and incorporate intelligent processing directly into workflows.

With the AI Adapter, organizations can introduce capabilities such as AI-assisted data enrichment, automated error analysis, and contextual decision-making within their integration flows.

Explore the AI Adapter
Splunky AI Monitoring Tool

The Splunky AI Monitoring Tool brings advanced observability to SAP integration landscapes by applying AI-driven analysis to system logs, events, and integration flows.

Instead of simply triggering alerts, Splunky helps teams identify root causes faster and detect potential issues before they impact business processes, enabling a shift from reactive monitoring to proactive integration management.

Discover Splunky Monitoring
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See where AI Agents fit in your landscape

Not every stage is worth handing to an agent, and no two landscapes start from the same place. Our architects look at your interfaces, your monitoring setup and your governance rules, then tell you which stages agents would take on first and what that is worth.
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Tell us which stage costs you most and we will tell you what is realistic.

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Why AI-Powered Integration?

Embedding AI into your enterprise integration architecture creates tangible value across operations, development, and business processes. By combining intelligent monitoring with AI-assisted integration capabilities, organizations can improve reliability, accelerate delivery, and respond faster to changing business demands.

Faster Integration Delivery

AI agents can assist developers with tasks such as mappings, flow generation, and troubleshooting, enabling 40 to 60% faster delivery times instead of building each one from scratch.

Context-Aware Process Automation

An iFlow can call an AI service mid-flow to validate, classify or enrich a payload, checking a requisition against chart-of-accounts rules, or routing a document by content rather than by a static rule.

Proactive Observability

A failed message is matched against your known-error database and returned with the iFlow name, the message GUID, the previous resolution and the relevant SAP notes. Resolution time and MTTR improve by 40 to 80%.

Knowledge That Stays When People Leave

Every incident, resolution and interface design feeds a knowledge base the agent reads from. Landscape know-how stops living with two or three people who happen to remember it.

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Practical AI Insights and Resources

Explore our latest insights on AI-powered SAP integration and the evolving role of AI in enterprise integration architectures. Below you can get access to technical articles, videos, and a whitepaper that provide practical perspectives on applying AI in integration landscapes.

AI-Powered Integration Playbook

A practical guide to implementing AI in integration landscapes while maintaining a clean core architecture.

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AI Agents in Production: Practical Use Cases

Credit checks, purchase requisition validation and known-error lookups, running in SAP customer landscapes today.

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iDevOps Lifecycle Assessment

Rate 24 activities across six lifecycle stages and see how much of your lifecycle runs automated today and where agents would take on most.

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‍your SAP landscape

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