AI: The thing everyone is talking about – and how it REALLY benefits your business.
Forget the hype. We translate artificial intelligence into tangible benefits for your everyday business. As your IT partner for Upper Palatinate, we show you how to work more efficiently with the right AI tools, instead of just chasing a trend.
Office Software
A practical starting point: AI in everyday office applications
The most useful starting point is often software the team already uses. JITIS evaluates concrete workflows, data boundaries, licensing and review requirements before introducing an assistant.
Microsoft 365 Copilot can support drafting, summarisation and analysis in supported Microsoft 365 applications. JITIS helps assess licensing, permissions, data handling and a controlled introduction for suitable workflows.
Google Workspace with Gemini Gemini can assist with drafting, summarisation and ideation in supported Google Workspace applications. We clarify permissions, data handling and review rules before rollout.
Privacy
More control: dedicated AI for defined requirements
Not every information set belongs in a public AI service. Depending on the use case, a dedicated or locally operated architecture can provide more control over processing, interfaces and access to internal documents.
Requirements assessment: We clarify whether a dedicated AI solution is justified, which workflows it should support and which operational prerequisites are needed.
Infrastructure sizing for AI: Local AI workloads need suitable compute, memory and storage. We size the infrastructure from capable workstations to dedicated servers according to the selected workload.
Controlled implementation: We support suitable open-source models on controlled infrastructure. Whether data remains local depends on the full architecture, including integrations, telemetry and update paths, which are documented explicitly.
Practical implementation instead of AI theatre
JITIS does not build foundation models. We assess available technology, implement a bounded solution and define how people verify its output. The objective is a useful workflow, not an AI project for its own sake.