// INTEGRATION & AUTOMATION
Integration & Automation:
From Data Silos to an Intelligent Ecosystem
Legacy integration is the starting point, not the goal. Most companies run an IT landscape that grew over years: ERP, PIM, CRM, shop system, marketplace connections. Each system works on its own, but the links between them are manual, error-prone, and slow. Xanevo builds the bridge between your existing systems and modern AI, so data flows and processes run end to end automatically.
// DEVELOPING PRODUCTION-READY AI SOLUTIONS FOR
// DEFINITION
Why is integration the prerequisite for AI?
AI only delivers value when it can access the right data and trigger actions in existing systems. Without system integration, artificial intelligence stays an isolated tool that produces nice demos but makes no operational difference. With integration, AI becomes the operating layer that steers processes across departments and systems.
The challenge is rarely the AI itself. It sits in the connection: how does data get out of an SAP R/3 that has run for 15 years and into a modern AI workflow? How does an AI agent trigger an order in the ERP without anyone stepping in manually? These questions are not about technology, they are about architecture. And that is exactly where Xanevo starts.
// THE BOTTLENECK
When systems don't talk to each other
Most mid-market IT landscapes grew historically. The ERP knows the stock level but not what happens in the online shop. The CRM holds the customer history but has no link to fulfillment. The PIM manages product data that gets copied into the shop by hand. Between the systems sit employees acting as the human interface: export data, prepare it in Excel, import it into the next system.
The consequences are measurable: processes take days instead of minutes because information first has to be found, then transferred. Error rates climb with every manual handover. And new requirements, whether an additional marketplace or a new report, become a project instead of a configuration. Breaking up data silos is therefore not an IT decision but a strategic one, because a company is only as fast as its slowest interface.
// WHAT WE SOLVE
Connect and automate
Xanevo solves integration problems on two levels: first we make data available by connecting existing systems. Then we let AI work with that data by setting up intelligent workflows that orchestrate processes across systems.
01
Legacy-to-AI Bridge
Your problem:
Your core systems (SAP, Dynamics, AS/400, or other ERPs) hold business-critical data, but they were not built for access by modern AI applications. Data stays locked in, processes stay manual.
The solution:
We build robust, encrypted connections between your legacy systems and modern AI components. No migration, no system change. Your existing infrastructure stays in place and gets extended with an integration layer.
Your benefit:
Data flows in real time between old and new. Processes that used to take days run in minutes. And with every API update of your existing systems, the connection stays stable.
02
AI Workflows & Agents
Your problem:
The data is there, but no one uses it actively. Decisions are still made manually, routine processes still run through employees, and the potential of the available information stays untapped.
The Solution:
Intelligent AI agents that steer processes on their own based on your data: check orders, detect anomalies, generate content, or trigger approvals. Workflow orchestration across system boundaries, not a makeshift fix but a scalable process.
Your benefit:
Your employees are relieved of repetitive decisions. Processes run faster, more consistently, around the clock. And every new use case builds on the same infrastructure.
03
SAP Integration
Your problem:
SAP is the heart of your business processes, but integrating AI into S/4HANA or R/3 environments is complex. Standard interfaces often are not enough, and custom development threatens upgrade capability.
The Solution:
Specialized SAP AI integration that respects the SAP standard while adding AI functionality. We automate SAP processes without making you leave the upgrade path.
Your benefit:
AI power for your SAP landscape, without risk to existing processes.
// TECH COMPARISON
Silo architecture vs. connected AI architecture
Criterion
Silo IT (status quo)
Connected AI architecture (Xanevo)
Data access
Fragmented: information has to be gathered by hand
Central and real-time: all systems feed data to one point
Process duration
Days, because handovers between departments are manual
Minutes to seconds through automated workflows
Manual touchpoints
High: export, prepare, import at every system change
Minimal: only approvals and exceptions
Error rate
Climbs with every manual handover
Drops through automatic validation
Innovation capability
Hard: the legacy system blocks new requirements
Easy: AI as an add-on, not a replacement
The Process
/ APPROACH
01
Step 01
Analysis
We map your existing system landscape: which systems are in use, how data flows today, and where the biggest friction sits. The result is an integration map that shows which connections have the biggest lever.
02
Step 02
Architecture
Based on the analysis we design the target architecture: which systems get connected first, which workflows are priority, and what the step-by-step rollout looks like. Not theory, but a concrete blueprint with clear milestones.
03
Step 03
Implementation
We build the connections and workflows, starting with the use case that brings the fastest measurable value. Encrypted gateways, stable connectors, and automatic error handling keep the integration reliable in daily operation. First results are typically visible within 4 to 6 weeks.
04
Step 04
Scaling
What works for one process extends to others. Connect new systems, set up additional AI workflows, bring in more departments. The architecture is designed from the start to grow with your requirements.
One platform for every data flow
Xanevo acts as intelligent middleware between your existing systems and modern AI components. We sit in the middle and route data between legacy systems and AI agents, in both directions and in real time. Business process automation with AI does not mean replacing your systems. It means connecting your existing systems through an orchestration layer that automates processes end to end.
A concrete example: the Legacy-to-AI Bridge pulls an order from SAP, an AI workflow checks it for anomalies, and the bridge releases the order automatically. No manual step, no system change, no waiting. And when a new marketplace comes in tomorrow, it gets connected to the same architecture instead of becoming the next island project.
// GOVERNANCE
Stability as an architecture principle
Integrations that break with every system update are not a solution. That is why we build connections designed for stability and maintainability: encrypted gateways, automatic error handling, monitoring, and clear fallback scenarios.
Our integration concepts account from the start for the fact that your system landscape keeps evolving. SAP updates, new API versions, or additional systems do not change the underlying architecture. The connectors are modular and can be updated independently, without endangering ongoing operations.
// FAQ
Frequently Asked Questions
No. We work iteratively and start with the system that has the biggest lever. Usually that is the ERP or PIM, because the most business-critical data sits there. Further systems are connected step by step, without disrupting ongoing operations.
All integrations run over encrypted gateways with documented access rights. Data is transferred only over secured channels, and every access is logged. The security architecture meets enterprise standards and is suitable for regulated industries.
It depends on scope, but first measurable results are usually visible within 4 to 6 weeks. A single system connection (e.g. SAP to an AI workflow) can be live in a few weeks. A more comprehensive end-to-end automation across several systems is typically productive in 8 to 12 weeks.
// BEREIT?
Your systems can do more when they talk to each other.
Manual handovers, duplicate data, processes that end at system boundaries. It does not have to stay that way. In a short architecture call we clarify where your biggest integration levers sit and what results are realistic in 90 days.