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SAP AI Exzellence EN2026-07-30T16:16:05+02:00

BA AI
In the ai enviroment

SAP AI Consulting, AI Solutions & Implementation

AI Solutions, that actually run in your SAP landscape

We combine business analysis and AI expertise with a deep understanding of SAP and business processes to deliver solutions that fit seamlessly into real-world workflows, data models, and roles. We don’t just identify the AI potential within your company—we also implement the solutions technically, from concept to production.

During our consultation, we take a look at your current situation together: Where is unnecessary effort being expended? Which processes offer potential for automation? And which AI applications can be implemented in your SAP landscape in a in a practical and cost-effective way?

Why AI projects succeed with us.

SAP knowledge meets AI expertise

We have 20 years of experience working on SAP projects, so we understand SAP data models, processes, and roles. That’s why we build AI solutions that fit seamlessly into your environment rather than standing apart from it.

End-to-end instead of PowerPoint

We don’t stop at consulting. We develop, integrate and support. On SAP BTP, HANA Cloud and AI Core, or with a pragmatically chosen architecture.

Fast direct proof of value

First MVP in a few weeks instead of months of preliminary analysis. You see early on whether the use case pays off, before you invest big.

Business processes, SAP architecture & modern AI combined into solutions that are truly useful in everyday work.

Florian Hauck - BA Business Advice Senior AI Solution Architect

“What matters is not adding AI somewhere, but implementing the right use case with the right data and a solid SAP-aligned architecture. Our experience shows that this is exactly where the real added value lies. In customer projects, we keep seeing that valuable data, documents and process knowledge exist, but aren’t being used effectively in day-to-day work. With AI, this can be transformed into real decision support and operational relief.”

Dr. Florian Hauck, Senior AI Solution Architect – BA Business Advice

AI in the SAP environment: Examples from real-world projects

No demos, no slides. These solutions are running in customer projects, from purchasing and sales to operations and knowledge management.

AI-powered

Document Comparison

Order confirmations look different from every supplier. Information appears in different places, under different names or in different formats. “Width”, “W” and “Dimension B” can all mean the same thing. A comparison based on fixed fields falls short here.

How it works:

You provide the purchase order and the order confirmation. The app extracts the content, anonymizes sensitive data and hands it over to the AI. The AI compares product details, quantities, dimensions and additional information on a business level. The result: a structured evaluation.

Less searching, more deciding. Want to know if this works with your order confirmations? Just fill out the form below and we’ll get back to you with an assessment for your case.

How it works:

The search function scans material data, quotes, long texts and drawing references across systems. You can search the classic way via standard criteria or in free-form query in a chat. Customer-specific terms are simply maintained in a glossary.

AI-powered Technical Data Search

Material data, quotes, long texts and drawing references are scattered across different systems. Everyone labels features differently, often in different languages. Anyone searching for something wastes time or asks colleagues.

Your data is already there. It just was never this easy to find.
Fill out the form below and we’ll show you what’s possible with your systems.

AI Assistant for Data Migration to the SAP Target System

Source data never fits exactly into the SAP Data Migration Cockpit template. Columns have different names, values need to be cleaned, transformed and looked up. Done manually, this takes days and is error-prone.

How it works:

The assistant automatically maps source columns to the fields of the SAP Data Migration Cockpit template and proposes cleansing rules, transformations and lookups on its own. You enter your own rules in plain language, for example “if empty, set value X”.

You know your source system, the assistant knows the SAP DMC template. Together, that becomes a clean migration.
If this sounds interesting, let’s just talk.

More AI Solutions

These solutions are already running productively at our customers. From master data to logistics, they show where AI creates real value in the SAP environment.

Master data

Intelligent master data management

Automatically detects duplicates and inconsistencies in customer, vendor and material master data and evaluates them transparently. The business department decides in a guided way instead of working through lists.

Quality
Prioritization of warranty cases

Bundles notifications, image material and anomalies, prioritizes suspicious cases and prepares them for specialist processing.

Operations
Incident Copilot für
SAP Operations

Monitors technical error sources, suggests solution paths and documents verified solutions as reusable knowledge. Every resolved case becomes operational knowledge.

Knowledge & support
AI orchestrator for knowledge and support

Specialized agents on one platform make project knowledge, intranet content and support knowledge usable. Standard inquiries are answered in a scalable manner.

Logistics
Intelligent residual quantity management

Uses AI to evaluate and prioritize silo residual quantities, decisions on returned goods, and recycling options. Remaining inventory is recycled rather than disposed of.

Your use case is missing?
That’s exactly what our initial consultation is for.

Then let’s talk. You can book a no-obligation initial consultation here.

Customized, practical & technically robust:
We deliver AI with real value

We don’t just understand models, we understand your processes, data and systems, from the first use case to productive integration into your SAP landscape.

  • Individual AI solution tailored to your SAP landscape and specific customer scenario

  • We build solutions instead of slides: from MVP to productive operation

  • We think end-to-end instead of in individual tools

  • We integrate AI directly into SAP: BTP, HANA Cloud, AI Core

  • We focus on clear use cases and fast proof of value

AI doesn’t have to start big. It just has to start right.

We don’t sell a rigid, off-the-shelf tool; instead, we work with our customers to develop the right solution: from SAP-aligned copilots to AI-powered decision support or intelligent process building blocks. We bring AI to where it creates real value in the SAP environment.

From idea to AI solution

We don’t start with technology. We start with the business problem, the process and the available data.

Sharpen the use case

  • Define the business problem, target vision and value
  • Assess data situation and system context
  • Derive MVP and scaling path

Architecture & solution design

  • Define an SAP-aligned target architecture
  • Determine data sources and integration points
  • Select the appropriate AI methodology

Build the prototype / MVP

  • Clickable prototype or proof of concept
  • Usable for the business and technically robust
  • Fast value instead of months of preliminary analysis

Integration & expansion

  • Use SAP BTP, HANA Cloud, Build, AI Core
  • Move to production in a controlled way
  • Expand and scale step by step

Frequently asked questions about AI in the SAP environment

No. In many cases, a clearly scoped MVP or prototype is the better entry point to reliably assess value, data situation and technical feasibility early on.

Yes. Depending on the starting point, the solution can be closely connected to SAP technologies such as SAP BTP, HANA Cloud, Build or AI Core, or work with adjacent services in a controlled way.

No. Chatbots are just one possible entry point. Many effective solutions lie in decision support, data evaluation, incident handling, knowledge access or process optimization.

The right use case lies where high manual effort, recurring decisions, scattered knowledge or unused data meet a clear business value.

Yes. BA develops individual AI solutions based on the specific customer scenario, matching the respective SAP landscape functionally, architecturally and technically.

As close as makes sense. When SAP-aligned architecture and governance matter, we stay closely oriented toward SAP BTP and adjacent SAP technologies. At the same time, we remain pragmatic and choose the approach that works best functionally and technically.

That depends on the use case and the data situation. In many cases, a functionally robust prototype or MVP can be built comparatively quickly within a clearly defined scope.

A prototype demonstrates the business logic and the value. A productive solution additionally takes integration, roles, governance, data quality, monitoring and operations into account.

Yes. We support both in sharpening the use case functionally and in architecture, technology selection and implementation design.

Open Questions? Book your appointment now.

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