
The Real Challenges of Using AI Meeting Tools in Manufacturing, Healthcare, and Tech: What It Takes to Reach 85% Transcription Accuracy
May 16, 2025When AI Doesn’t Understand Your Terminology
For companies in traditional manufacturing, healthcare, or tech, one of the first hurdles when adopting speech-to-text tools is painfully familiar: “It doesn’t understand our industry terminology at all.”
This issue often arises with technical terms or field-specific language. Transcriptions are frequently riddled with misinterpretations, making it difficult to rely on the output. While some mistakes may seem amusing at first, they create real challenges for frontline staff - often requiring entire transcripts to be rewritten manually and making accurate summaries nearly impossible.
How Does Meeting Ink Adapt to Technical Language?
In addition to real-time transcription and smart summaries, Meeting Ink provides a specialized language training module that helps enterprise clients build custom AI models tailored to their industry.
In simple terms, this feature allows you to:
- Turn your frequently used terms into a custom vocabulary the AI can recognize
- Build and refine your own term database through translation corrections and ongoing optimization
- Raise transcription accuracy from 50% to 85% or even higher
This makes Meeting Ink especially effective for industries where standard speech recognition tools often fall short.
Custom Language Model Training: How It Works
This tailored training approach has already been adopted by sectors like manufacturing, healthcare, hardware technology, and construction engineering, significantly improving transcription accuracy in specialized settings.
Beyond Accuracy: Long-Term Value for Enterprises
Implementing a custom terminology model doesn’t just improve transcription accuracy but also creates long-term value for organizational knowledge management:
- No more “translating” what senior engineers or specialists say into simpler terms—AI captures their language directly.
- Technical knowledge is preserved in a structured, searchable format, ready to be reused in training materials, internal documentation, or FAQs.
- Knowledge transfer becomes easier, reducing disruption during staff turnover or team transitions.
Industries That Benefit Most from Custom Language Models
Want AI That Understands Your Language?
The Meeting Ink Custom Terminology Model (Beta) is now open for consultation. It can be evaluated alongside enterprise-level permission management and customized summary formats.
If your industry relies on specialized terminology and struggles with high transcription error rates, this is the first step toward reducing rework, preventing miscommunication, and capturing knowledge more effectively.

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