Case Studies
Agentic AI Drafting of Preliminary Documentation
Technologies
NLP
LLM
RAG
AI
Client’s Need
Drafting the preliminary documentation of a new engineering development project is very often a low added-value activity. It requires a significant effort in terms of time and expert human resources, which are in large part squandered on repetitive and low-engagement tasks such as copying excerpts from legacy documents and checking adherence to corporate templates.
Approach
Development of a proprietary LLM trained on relevant legacy documents and fine-tuned to generate first-draft documentation according to corporate templates. The NLP solution is based on a RAG approach which speeds up considerably documentation drafting (and thus its associated costs) while giving full control over AI behaviour and document sources.
Main Outcomes
- The initial draft is generated automatically in minutes.
- The formal correctness of drafted documents is automatically ensured.
- Senior engineering personnel can focus on high added-value activities related to the specifics of the new engineering project.