SERVICE · AI APPLICATIONS & AGENTS
AI that actually helps in engineering.
Modern language models — Claude, ChatGPT and similar — have long moved past novelty. Used properly, they save engineering teams hours each week: structuring reports, sifting through logs, translating specifications and getting up to speed on unfamiliar systems. egatti engineering takes a pragmatic, realistic approach — without the hype.
What we don't do
We don't sell black boxes, and we don't promise „AI that automates everything“. Instead:
- We show which questions AI answers well — and which it doesn't.
- We build prompts your team can reuse.
- We review with you where trade secrets or GxP set a hard boundary.
Concrete use cases
Documentation & reports
Commissioning protocols, deviation reports, technical descriptions and user requirements — drafted more structured and faster.
Log & trend analysis
AI-assisted first pass on fault data, trends and audit logs — with the engineer validating the result.
Multilingual technical writing
Specifications, emails and instructions between DE, EN and FR — with domain vocabulary, not Google-Translate boilerplate.
Troubleshooting co-pilot
A second pair of eyes on tricky faults — with hypotheses, a checklist of questions, and plain-language explanations.
Prompt libraries
Reusable, reviewed prompts for automation, electrical, QA and project teams — available to the whole team.
AI agents & MCP
Small, controllable agents that connect file stores, logs and measurement databases — via the Model Context Protocol.
How a typical AI introduction project runs.
Start small, learn, roll out. No monster rollouts, no tool stacks that end up in a drawer.
- 01
Workshop & use-case screening
We identify 2-3 concrete tasks where AI can help today — and, equally important, where it can't.
- 02
Privacy & rights check
GDPR, trade secrets, GxP — what data is allowed with which model? Output: clear guardrails.
- 03
Pilot with real data
One department, one use-case, four to six weeks. We coach, measure time saved and output quality.
- 04
Training & prompt library
The team gets reusable prompts, a short training session and a lean governance document.
- 05
Rollout & review
Step-by-step rollout to further teams, a six-monthly review — including model versions and privacy updates.
Privacy & trade secrets first.
We pick the model deployment that matches your sensitivity: EU region, enterprise access without training use, or locally hosted models for particularly sensitive data. No AI project begins without clarity on which data is allowed to go where.
Typical guardrails
- · No customer names in consumer chat UIs
- · No recipes or SIL documents in consumer tools
- · Disable training use, prefer enterprise access
- · Validation: engineer decides, AI assists
Ready for a pragmatic AI pilot?
A short conversation is enough to figure out where a pilot makes sense — and where it doesn't.