AI Agents: Automate tasks with real-time insights
DATA SCIENCE
Data-driven value creation in the digital age
Artificial Intelligence is rapidly becoming part of everyday business. Yet success is not determined by adopting the latest technology it is about applying AI where it creates measurable business value.
At PIKON, we believe in Business AI: AI that solves real business challenges, simplifies complexity, and supports better decision-making. By combining deep business process expertise with advanced Data Science and AI technologies, we develop practical solutions that integrate seamlessly into both SAP and non-SAP environments. The result is intelligent solutions that reduce manual effort, improve operational efficiency, and deliver tangible business outcomes.
As AI becomes increasingly embedded in business-critical processes, organizations are also expected to understand and justify the decisions AI helps make. A recent global survey found that 92% of CIOs have been asked to defend AI outcomes they could not fully explain, highlighting that successful AI is not only about innovation, but also about trust, transparency, and measurable results.
Whether you’re looking to automate processes, uncover valuable insights from your data, develop AI-powered applications, or explore the potential of intelligent agents, we help you identify the right opportunities and implement solutions that fit your business not the other way around.
Find out what our approach is and develop opportunities and potential from your challenges and data.
What is the definition? What is the difference?
Data Science and Artificial Intelligence (AI) are closely related but serve different purposes. Data Science is about turning raw data into valuable insights helping organisations understand trends, measure performance, and make informed decisions. AI, on the other hand, goes a step further: it uses those insights and advanced algorithms to enable machines to learn, predict, and even act on their own.
In simple terms: Data Science explains the “what and why,” while AI focuses on the “how to act.” Together, they empower businesses to not only understand their data but also to automate processes, create smarter services, and unlock new opportunities for growth.
Your key benefits:
Optimisation of existing business processes
Customize and extend AI solutions for your specific business needs
Reduced routine work and manual effort
AI supports you during your decision-making process
We build intelligent business – starting with our own
With our team of data scientists and mathematicians, we create real added value for your company. In times of digitalisation, data is abundant. The important thing is to use it skilfully to build competitive advantages. We support you in this – find out how in a direct exchange.
Our Project Approach
We don’t build AI in isolation. We combine the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework with the SAP Activate Methodology to ensure our data science solutions are both analytically sound and seamlessly aligned with your enterprise architecture.
Our collaborative, agile process bridges the gap between your business expertise and our technical execution:
- AI Discovery Workshop (Explore): We start with a joint workshop to understand your business goals, identify high-value use cases, and assess data availability. We align your requirements with the right AI strategy from day one.
- Data Understanding & Preparation (Realize): You know your data best; we know how to handle it. Data preparation and transformation are often the most time-consuming steps. We build robust, reusable data pipelines to streamline this phase for current and future applications.
- Agile Prototyping & Modeling (Realize): To prove value quickly, we develop a rapid prototype. We work in short, agile sprints to iteratively refine the AI models based on your feedback.
- Evaluation & Deployment (Deploy): Once the prototype delivers the desired business value, we transition it into a stable, productive application.
- Enterprise Operations (Run): We embed the solution into your target infrastructure, whether integrated natively into your SAP landscape, deployed on a major cloud platform, containerized via Docker, or managed as a service.
- Continuous Evolution & Support (Run): Go-live is just the beginning. We provide long-term maintenance and application support to monitor model performance, and deliver regular technical updates. This ensures your AI application remains highly accurate, secure, and fully aligned with your evolving business processes.
Our Architecture and Toolset
We build on the enterprise software your business already trusts. Our data science solutions integrate natively with your SAP landscape and your preferred cloud infrastructure.
SAP AI & Data Ecosystem
- SAP Business Technology Platform (BTP): Our central hub for building, extending, and operating enterprise AI applications.
- SAP AI Core & SAP AI Launchpad: For deploying, scaling, and managing production-ready machine learning models and Generative AI safely within your network.
- SAP Business Data Cloud (BDC): Our foundation for delivering a modern enterprise data fabric, unifying your SAP and non-SAP data seamlessly while preserving full business context without complex replication.
Cloud Data Platforms & Infrastructure
- Databricks & Snowflake: For handling large-scale, cross-functional data lakes and advanced data engineering outside or alongside SAP.
- Hyperscaler AI Services: Seamless integration with Microsoft Azure OpenAI / AI Studio, Google Cloud Vertex AI, and AWS SageMaker.
- Enterprise Containerization: Docker and Kubernetes to ensure applications are modular, portable, and easy for your IT team to maintain.
WORKSHOP
AI Discovery Workshop
AI is transforming industries but how do you know if it’s the right fit for your business?
The AI Discovery Workshop is designed to cut through the hype and focus on what truly matters for your organisation.
Typical use cases
Every industry and every company has unique challenges. Our use cases show you how you can counter these with AI to generate the most value.
What's your use case?
- Would you like to know how artificial intelligence can help solve a specific problem in your company?
- Would you like to automate time-consuming processes?
- Are you interested in forecasts to simplify your planning?
Contact us, we will be happy to support you!
Typical use cases of Data Science
Smarter Master Data Management with AI
Duplicate records, inconsistent formats, and anomalies in Master Data can disrupt critical business processes—especially during migrations. Our end-to-end AI-powered solution for Master Data addresses this by automatically identifying duplicates, correcting inconsistencies, and enforcing standardisation at scale.
Using proprietary Machine Learning and Natural Language Processing algorithms, our tool ensures real-time data cleansing, reduces manual effort, and improves overall accuracy. With a built-in Exploratory Data Analysis dashboard, you gain instant, actionable insights—empowering faster, more confident decisions and maintaining data integrity across your enterprise.
Core capabilities:
- ML-Based Data Cleansing: Detects and merges duplicates, corrects errors, and standardises formats automatically.
- Interactive EDA Dashboard: Visualize and explore your data in seconds for deeper insights.
Read our blog article to know more about master data management.
AI-Powered Quality Inspection for Smarter Production
Undetected defects and unplanned maintenance can disrupt production and drive-up costs. Our end-to-end AI-powered inspection system combines real-time sensor data and automated image analysis to detect anomalies early—before they escalate into major issues.
We developed AIQinspect together with the Zentrum für Mechatronik und Automatisierungstechnik, the solution uses proprietary machine learning models to inspect quality of rivets in aircraft production and identify surface or structural defects. This enables proactive maintenance, reduces downtime, and ensures a steady, efficient production flow.
Core capabilities:
- Sensor-Based Anomaly Detection: Continuous monitoring to detect subtle shifts in performance.
- Automated Computer Vision Inspection: High-speed image analysis to catch visual defects with precision.
AI Agents for End-to-End Business Automation
AI Agents are autonomous systems that execute complex, multi-step business tasks with full awareness of enterprise context. Leveraging Retrieval-Augmented Generation (RAG), these agents securely access real-time data from SAP and non-SAP systems to reason, act, and automate workflows intelligently.
From answering employee HR questions using live data from SAP SuccessFactors, to assisting sales teams with up-to-date customer insights and service history or automating supply chain actions like purchase requisitions to prevent stockouts—AI Agents streamline operations and reduce manual effort across departments.
Core capabilities:
- Context-Aware Automation: Executes multi-step workflows with full understanding of business logic, enabling autonomous decisions across HR, sales, supply chain, and more.
- Real-Time Enterprise Integration: Securely connects to SAP and non-SAP systems, retrieving live data to ensure timely, accurate, and informed actions.
More information from our blog
At the Frankfurt Tech Show 2026, Agentic AI stood out as a breakthrough in enterprise technology, showing how autonomous AI systems are moving from hype to real business value by independently planning, executing tasks, and transforming workflows across industries.
We cover how to deploy AI workloads on SAP BTP while keeping your SAP system clean and upgrade-ready.
RAG is changing enterprise AI: more accurate, reliable, and powerful than traditional LLMs.
AI is an integral part of SAP's strategy. Find out what functions SAP offers in S/4HANA.
How AI agents and large language models transform businesses and drive innovation.
Optimising data deduplication: AI solution for master data cleansing and migration.
Contact us
Our Data-Science expertise for your success! Don’t hesitate to contact us.
