Engineering teams today face dual pressure: request for quotations (RFQs) are becoming more extensive and interdisciplinary, while customers expect reliable responses in ever shorter timeframes. Across the industry, Generative AI, software‑defined mobility, and stricter sustainability targets set the pace.
On top of that, data and documents are scattered across SharePoint, OneDrive, network drives, email, CRM, SAP, Jira, and various other knowledge repositories. Anyone who manages to combine speed with quality — while protecting sensitive information — gains a decisive edge.
“The difference becomes visible where it counts: seconds instead of hours, efficiency and clarity instead of email ping‑pong — and secure answers that support teams.” – Stefan Maier, Team Manager IT and AI Solutions
As Bernd is constantly learning and developing, he will be able to do much more than just scan inquiries in the future. He will be able to automatically prepare and structure the necessary quotation documents, prepare task packages for calculation, and create complete service descriptions. This turns what can sometimes be thousands of pages of customer inquiries into precise, usable insights – securely processed within the protected Bertrandt environment.
The most important functionality — and the biggest time-saver — lies in the automated assignment to the correct specialist department and the required standards check. Incoming requests are routed to the right area within seconds and clearly display all relevant norms and certifications.
Thanks to continuous learning and classification feedback from hundreds of contributors, the new version has an accuracy rate of >90%. This compares favorably to human classification, inquiries, and verification by non-specialist personnel.
Soon, Bernd will also pre‑fill RFQ documents with text, phrasing suggestions, required assumptions, standards, statements of work, calculations, and more. A reference generator is currently in the alpha phase: it will automatically suggest suitable past reference projects, eliminating tedious searches and lengthy discussions.
Integration into existing tool chains like Jira ensures smooth handovers and clear responsibilities. In principle, Bernd can be connected to any system that offers a suitable API.
Internal use cases already showclear effects: recurring review steps — from specification scans to ticket creation — can be significantly shortened. This accelerates RFQ qualification while maintaining stable quality.
In day‑to‑day operations, Bernd’s strengths become especially clear: proposal documents are automatically analyzed, requirements extracted and forwarded to the appropriate teams — a process that previously required numerous manual alignments. Direct system integration ensures data flows seamlessly into existing workflows, creating transparency and structure.
The AI‑based approach also improves quality and requirements management. Whether in FMEA processes, document reviews, or the evaluation of regulatory specifications — LLM‑based assistance functions streamline analysis and increase consistency.
Customers gain a clear advantage: RFQs can be assessed faster, decisions made earlier, and risks evaluated more accurately. Teams benefit from reduced repetitive tasks and gain more time for conceptual and creative work.
Companies using Generative‑AI‑supported automation demonstrably increase productivity, shorten development cycles, and improve software and process quality — a trend that continues to grow.
Moreover, secure and controlled AI usage — including granular role‑based access control and transparent data flows — ensures the highest standards in data protection and compliance.
Bernd uses powerful language models exclusively within Bertrandt’s secure infrastructure. The goal: maximum data protection, zero external leakage of sensitive information, and clearly defined roles, auditable processes, and strict AI guardrails. This enables us to enhance scalability, stability, and security for data-intensive, AI-supported workflows.
The result is a holistic benefit: more speed, less effort, higher quality, and a solid foundation for complex and sustainable mobility solutions.
Discover all features, use cases, and benefits of our AI assistant:
Bernd
