How are you using AI for content in highly technical industries?

I’m experimenting with AI-assisted content creation for a highly technical B2B industry.

One issue I keep running into is accuracy.

AI can generate a polished article very quickly, but when the topic involves manufacturing processes, tooling, tolerances, materials, or failure analysis, the output often sounds convincing while missing important technical details.

My current workflow is:

1. Collect notes from engineers and production teams

2. Use AI to organize the information

3. Turn it into articles, short videos, FAQs, and social posts

4. Have someone technical review the final version

5. Reuse the same knowledge across multiple channels

It works, but the human review step is still the bottleneck.

I’m curious how others are solving this.

If you work in a technical or niche B2B industry, how do you keep AI-generated content accurate without slowing the whole workflow down?

Are you using RAG, an internal knowledge base, custom prompts, fine-tuning, or simply human review?