Internal Enterprise GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Employees spend a lot of time searching for information scattered across systems. An internal enterprise GPT consolidates approved knowledge and answers questions directly, with sources and clear access limits. Operated with EU hosting and GDPR compliance.
- Fewer queries to specialist departments.
- Faster access to reliable knowledge.
- Consistent answers across locations.
Search time per employee
Time to pilot live
Answer accuracy in testing
More knowledge articles used
Business case based on saved search and query time per head, extrapolated to affected teams.
- 01
Needs analysis
Identify the most common questions and knowledge sources with departments.
- 02
Data integration
Connect SharePoint, Confluence and handbooks in a structured way.
- 03
Define guardrails
Set up roles, permissions and answer boundaries.
- 04
Pilot operation
Selected teams test the assistant using evaluation sets.
- 05
Rollout & operations
Company-wide rollout with ongoing monitoring.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
SharePoint
Internal documents and templates as a knowledge base.
Confluence
Process documentation and team wikis.
Handbooks
Guidelines, work instructions and compliance requirements.
HR systems
Approved information on benefits and processes.
Ticket history
Past IT and HR requests as training examples.
Roles & permissions concept
Access control defining who may see which content.
Employees
Fast answers without switching systems.
IT department
Fewer tickets on standard questions.
Compliance
Controlled access aligned with the EU AI Act.
Management
Measurable productivity gains.
Fewer queries to specialist departments.
Faster access to reliable knowledge.
Consistent answers across locations.
Relief for IT and HR support.
Traceable source references per answer.
With a solid data foundation this use case gets faster, cheaper and far more stable.
A central data platform makes sources instantly connectable.
A unified permissions model prevents data leaks.
Existing metadata improves result quality.
EU hosting infrastructure is already established.
Document chat (RAG)
The same knowledge base can be reused for in-depth research.
Knowledge management & onboarding
New employees benefit directly from the assistant.
Email & ticket triage
Identified knowledge gaps feed into suggested replies.
Document Chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & Repair Assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.
Quote & Tender Assistant
Draft quotes and tender documents faster, backed by past deals and price lists.