Knowledge was scattered across thousands of documents and silos — employees struggled to find the right information quickly.

A tailor-made GenAI assistant inside Microsoft Teams unlocks 1,000+ documents (Word, PowerPoint, PDF) — with role-based access control on Azure OpenAI and a brownfield integration into existing processes.

Secure knowledge access in seconds — across department boundaries.

Training and knowledge documents were created manually by external providers — a resource-intensive, slow process.

An AI agent system lets specialist departments fill in templates autonomously and stores knowledge sustainably in a knowledge graph — a basis for further automation.

A leaner process with a better, searchable knowledge base.

Service cases were categorized, checked and escalated manually — error-prone, slow and with a growing backlog.

A cloud-native AI solution built on Azure Functions and Azure OpenAI automatically classifies cases, detects patterns and generates resolution suggestions — integrated into the existing system landscape via APIs.

Less manual effort, earlier pattern detection, more consistent decisions.

Early defect detection was barely possible in a highly heterogeneous system landscape with many manual analysis steps.

An automated data pipeline consolidates all relevant sources from the data lake; machine-learning models condense time series into defect-pattern candidates and identify high-risk process steps.

A robust ML model as the foundation for stable, future-ready production.

Incoming order PDFs had to be read out and transferred to the system manually — time-consuming and error-prone.

Power Automate captures PDFs from email, AI Builder extracts the order data, and users review and confirm in a Power App. Confirmed data flows on automatically, corrections continuously train the model.

Scalable to further document types — with a continuously learning model.

Contract data sat unstructured in the SAP system — without reliable KPIs for price planning and controlling.

A Power Apps environment with Dataverse as the single source of truth, automated, event-driven data integration and a best-practice data model — with meaningful reporting in Power BI.

Reliable KPIs and intuitive reporting on a clean data foundation.

The CSRD requires the central drafting, approval and incorporation of 800+ material sustainability points into the management report.

An agile Power Platform solution (Power Automate, Microsoft Lists, Teams) maps the end-to-end, quality-assured ESRS process.

A centralized, audit-proof process instead of scattered individual steps.

Master data (SAP RE-FX) was inconsistent and duplicated — no reliable basis for reporting and analytics.

A unified data foundation on Microsoft Fabric with Bronze/Silver/Gold layers, strict validation and matching rules, governance and back-to-SAP integration.

A scalable, AI-ready data foundation with automated quality checks.

Emissions data was spread across 20+ Excel sources — without an overall view and with high risk to the CO₂ fleet targets.

A central data platform on Azure Databricks (PySpark, ADLS) consolidates 20+ sources as a data mesh and delivers decision analytics and reporting.

A reliable data foundation for six departments and faster decisions.

A start-up wanted to accelerate R&D and operations in a data-driven way — without any existing data infrastructure.

A cloud infrastructure on Microsoft Azure with Azure DevOps (CI/CD) and a Databricks-based data lake & warehouse; near-real-time IoT ingestion via Azure IoT Hub.

An architecture that grows with the business, with a transparent cost structure.

Business-critical systems ran in an on-premises data center — without a scalable, globally available platform.

An end-to-end cloud transformation: IT cloud strategy, Azure Landing Zone (governance, ISO 27001), migration of core systems, refactoring and ongoing operations in a 2-shift model with on-call duty.

A secure Azure platform for global rollouts with minimal downtime.

A business-critical, globally deployed platform has to run securely, performantly and reliably around the clock — across multiple regions.

A dedicated level 2/3 support team handles monitoring, maintenance and continuous optimization of the Azure infrastructure — with proactive monitoring, scheduled updates and documented best practices.

High availability and fast response times — we don’t just build, we also operate.

A new cloud-based route-optimization app lacked a secure, scalable and compliant cloud foundation.

A new Azure tenant per ISO 27001 best practices — with governance, security, tagging and naming standards, fully documented and handed over to the client team.

A secure, scalable platform delivered on time for the app launch.

Cloud costs of the platform were rising — without continuous monitoring and systematic optimization.

A FinOps analysis with rightsizing of virtual machines, reserved instances and savings plans plus continuous monitoring of cost drivers.

Predictable, transparent costs with better resource utilization.

A grown SAP ERP had to be migrated to SAP S/4HANA across multiple sites — without data loss and without business disruption.

An end-to-end migration with data strategy, mapping and quality assurance, staging tables, comprehensive test cycles and a tightly steered cut-over phase — aligned with business functions, implementation partners and operations.

On-time go-live with full data quality and immediate operational readiness.

Employees were meant to unlock the potential of Microsoft Copilot and custom AI agents — but lacked hands-on know-how and guardrails.

A practical hands-on workshop guides Copilot Pro users through Copilot in Word/Excel/PowerPoint and the agent builder in Copilot Studio — including knowledge, tools, triggers and orchestration plus live prototypes.

Users build their own low-code agents — we enable teams, not just technology.

Charging-station uptime drives EV-driver satisfaction — faults had to be detected and resolved faster.

A "virtual helpdesk engine" augments the AI-based SaaS solution with concrete recommended actions: an error-code table, trigger logic and corrective measures, backed by benchmark and operations data.

Faster fault resolution and higher uptime as a clear value-add in the SaaS model.

A hospital operator wanted to decarbonize its sites — without a reliable data basis on the energy status and CO₂ risks of its properties.

Structured collection and preparation of building and energy data, a CRREM analysis per property to determine the CO₂ footprint and identify stranded-asset risks — with site-specific profiles and prioritization.

Fact-based roadmaps instead of gut feeling — prioritized by CO₂ impact and risk.

A public-sector organization needed a new CRM system — with a transparent, audit-proof procurement and high staff acceptance.

End-to-end support from structured requirements gathering through a procurement-compliant selection process (incl. Dynamics 365) to change management with a network of change agents and targeted communication.

An objective, traceable decision and high acceptance — technology and people in step.

IT service reports were compiled manually — laborious, slow and without reliable SLA transparency.

Based on optimized raw data, KPIs (volume, quality, SLA) were defined and visualized in automated, self-service Power BI reports with row-level security — including change management and training.

Up-to-date transparency for incident, service and quality management.

Numerous processes in investments and bonds ran manually — time-consuming, error-prone and hard to audit.

Introduction of robotic process automation including a dedicated RPA competence center: manual workflows were assessed, modeled, implemented as bots and moved into production — with long-term support.

End-to-end automated processes with a verifiable error rate and assured compliance.

Patients lacked a single, simple line to the clinic — from first contact to appointments and aftercare.

A patient-centric app brings everything together in one place: find the right contacts and reach them directly via chat, appointment reminders and intelligent aftercare — run and evolved cloud-natively on Azure.

A noticeably better patient experience and relieved clinic operations.

The cross-functional product development process (PDP) ran across scattered systems and Excel files — without an overall view, with media breaks and high manual effort.

A central Power Platform solution with Dataverse as the single source of truth maps the entire PDP from idea to launch — including automated notifications, real-time status tracking and Copilot-supported analysis.

Faster, higher-quality market launch with significantly less manual effort.

Order and sales rules were managed in a decentralized, inconsistent way — dealer steering and contract access were laborious and opaque.

A central solution on Power Platform and Microsoft Fabric manages and evaluates the entire order system including flexible sales rules — with fast, Copilot-supported access to contracts and agreements.

More efficient dealer steering and better, faster sales decisions.

Company knowledge was spread across many sources — finding reliable information cost employees a lot of time.

A GenAI knowledge assistant based on Azure OpenAI bundles distributed knowledge and answers questions in self-service — directly in the work context and Copilot-integrated.

Fast, reliable knowledge access and noticeably relieved employees.

More than 600 subsidiaries reported their annual financial data via 15+ forms — manually, error-prone and with high coordination effort at headquarters.

A Power App with Dataverse captures the financial data in a decentralized way, validates it automatically against 40+ logic checks and consolidates it into a unified group report — including a roles/permissions concept and audit-ready preparation for external auditors.

Reliable, audit-proof statements with significantly relieved group headquarters.

The final pallet inspection before shipping was done manually — slow, error-prone and without end-to-end documentation.

A Power Platform app digitizes outgoing goods inspection at pallet and article level, documents errors including corrective actions and delivers real-time KPIs into reporting via a connected REST API.

Higher product quality and audit readiness with significantly shorter inspection times.

Time-critical special transport orders were steered inconsistently — without end-to-end documentation, a synchronized data base and transparent awarding.

A Power Platform app steers special transports end-to-end: order and auction process, splitting of large shipments, route and cost optimization and role-based real-time data — including automated approvals and status tracking.

Faster, traceable processing with complete documentation and cost transparency.

Hardware orders to IT ran via informal channels — slow, hard to track and with high coordination effort.

A Power Platform app lets employees order hardware from a catalogue, steers approvals automatically and makes order status and KPIs transparent in an integrated Power BI dashboard.

Faster procurement, a clear audit trail and a relieved IT department.

The semiconductor crisis made the lack of transparency over components and supply chains costly — risks were hard to detect early.

A central semiconductor database in Dataverse consolidates components and ECUs, bundles BOM reporting and delivers role-specific dashboards (geo, demand, substitutes) for a data-driven, fast response to market changes.

A clear view of components and supply chains — as a basis for strategic planning and risk management.

During the ramp-up of a new vehicle generation, control-unit errors occurred — analysis was done per individual vehicle, without a view of the entire production volume.

Error logs are extracted as CSV and prepared and analyzed with Microsoft Fabric (Data Factory, PySpark notebooks, OneLake) — patterns and high-risk root causes become transparent across the entire volume in Power BI.

From case-by-case to systemic analysis — proactive corrective actions and a more stable ramp-up.

Requirements specifications in the quotation and contracting phase were maintained manually as documents — version chaos, slow approvals and a lack of audit reliability.

A Power App digitizes the entire specification process: customer-specific documents, modular selection of chapters, fast versioning, electronic signature and encryption — with approval workflows and live reporting.

Audit-proof, fast document processes — less effort, clear traceability.

Rail transports for finished-goods distribution were spread across multiple sites and external providers — manual coordination, missing real-time visibility and late detection of deviations.

A model-driven Power App consolidates transport orders, wagon assignments and shipment statuses. Automated synchronization between ERP and logistics providers, embedded Power BI dashboards for KPIs and CO₂ analysis and configurable escalation logic create end-to-end transparency.

More reliable deliveries and less manual coordination — on a scalable data foundation.

Quality tickets of external service providers were managed in a legacy Python/Jira setup — fragmented processes, slow approvals and a lack of transparency.

A scalable Power Platform solution unifies ticket creation, tracking and quality checklists in one platform — with automated notifications, escalation workflows, customizable ticket types and an integrated dashboard for status and performance.

Unified, faster ticket processes with full transparency — instead of a siloed solution.

The quarterly partner evaluation relied on manual Excel lists — opaque, error-prone and without reliable tracking.

A Power Platform app digitizes the evaluation process: automated quarterly reminders, shared visibility of ratings for constructive exchange and a dashboard for completed, in-progress and overdue evaluations.

Transparent, traceable partner evaluation with higher on-time submission and data quality.

Sales and customers struggled to compare the long-term total cost of ownership (TCO) of charging solutions — scattered data, manual calculations and opaque cost structures.

A digital TCO calculator built as a Power App consolidates product, service and financial data in Dataverse. Interactive scenarios simulate site, hardware, service and operating costs in real time and visualize lifecycle costs per charger model and customer segment.

Transparent, data-driven investment decisions — and a faster sales process.

Supplier rework was tracked via manual spreadsheets — missing transparency, lengthy root-cause analysis and hardly any reliable KPIs.

An interactive Power BI dashboard consolidates multiple data sources (incl. ERP and quality systems) and presents supplier performance across five hierarchical levels — with drill-downs, bookmarks and a KPI view to quickly identify causes and high-impact suppliers.

Transparent supplier quality and faster root-cause analysis across the supply chain.

CO₂ reduction pathways and battery demand depended on scattered OEM, supplier and regulatory data — scenario planning was slow and hard to trace.

A central data architecture combines sales, emissions and regulatory data as the foundation for two interconnected models: a ramp-down for CO₂ emissions and a market model for battery demand. A Power App with canvas and model-driven components enables interactive scenarios with fixed and dynamic parameters.

Faster, data-driven scenario planning for emission targets and battery demand.