Back office ops · Production

BBE Handelsberatung reduces research time by 70% and data analysis time by 90% with DeutschlandGPT

The problem

BBE wanted to give employees the best AI tools but faced a rapidly expanding market with constant new models and unclear hype cycles that made sustainable decisions impossible. The biggest obstacle was internal information security policy: manually redacting and anonymizing sensitive client data before entry into external tools was enormous and error-prone.

Workflow diagram · grounded in source
1
AI strategy anchored
trigger
“Im Frühjahr 2025 verankerte die BBE das Thema KI als einen der zentralen Pfeiler in ihrer Wachstumsstrategie”
2
Single-contract multi-model access
integration
“mit nur einem einzigen Vertrag allen Mitarbeitern Zugang zu sämtlichen führenden KI-Modellen zu verschaffen. Das beendete die komplexe und zeitraubende Suche nach Einzellösungen und schuf sofortige Klarheit”
3
All employees trained
output
“Bis Ende September, nur zwei Monate nach dem Start, sollten alle Mitarbeiter geschult sein und rechtssicher auf die neuen KI-Systeme zugreifen können”
4
Large document analysis
ai_action
“Komplexe Dokumente wie hunderte Seiten umfassende Landesentwicklungsprogramme werden von der KI nun in Sekunden analysiert”
5
Research acceleration
ai_action
“die Zeitersparnis für aufwendige Recherchen, wie der Erstellung von Whitepapern, um bis zu 70 % reduziert werden”
6
Best practice sharing
feedback_loop
“In einem extra eingerichteten Microsoft Teams Kanal werden Best Practices geteilt und neue Ideen diskutiert”
Reported outcome

Time savings of up to 70% for complex research tasks such as whitepaper creation and up to 90% for interpreting large data tables; complex documents like hundreds of pages of regional development programs are now analyzed in seconds.
All departments and age groups use the platform enthusiastically.

Reported metrics
Research time savings (e.g. whitepaper creation)70%
Data table interpretation time savings90%
Quality improvement in daily workenormen Qualitätsgewinn bei der täglichen Arbeit
Reported stack
DeutschlandGPTMicrosoft Teams
Source
https://www.deutschlandgpt.de/case-studies/bbe-handelsberatung
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Time savings of up to 70% for complex research tasks such as whitepaper creation and up to 90% for interpreting large data tables; complex documents like hundreds of pages of regional development programs are now anal…

What tools did this team use?

DeutschlandGPT, Microsoft Teams.

What results were reported?

Research time savings (e.g. whitepaper creation): 70%; Data table interpretation time savings: 90%; Quality improvement in daily work: enormen Qualitätsgewinn bei der täglichen Arbeit (source-reported, not independently verified).

How is this back office ops AI workflow structured?

AI strategy anchored → Single-contract multi-model access → All employees trained → Large document analysis → Research acceleration → Best practice sharing.

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