Speech Transcription
Meetings, consultations, support calls, dictations – valuable information is created in spoken words and then lost.
Turn Spoken Words into Structured Text
We implement AI-powered speech transcription that turns conversations into structured text: searchable, summarized, and directly integrated into your systems.
The essentials of Speech Transcription
- We implement AI-powered speech transcription that turns meetings, consultations and support calls into searchable, structured text.
- The system delivers more than full text: speaker attribution, topics, sentiment plus tasks and decisions are extracted as action-relevant information.
- We tune the system to your industry vocabulary and handle speaker attribution and overlapping speech – the points where production readiness differs from a demo.
- The structured result flows automatically into the CRM, ticketing or project management system, with no manual step between conversation and documentation.
- Solutions run on-premise or in your own cloud, with clear access rights and retention periods – essential for confidential consulting or HR conversations.
Making Spoken Content Usable
Writing protocols, creating conversation notes, documenting decisions – that takes time and is often done halfheartedly or not at all. AI transcription makes spoken content automatically available: as full text, as a summary, as a task list. What was discussed no longer gets lost.
More Than Just Text
Modern transcription systems can distinguish speakers, extract key topics, recognize sentiment, and automatically identify action items. We configure the system for your use case – whether sales, support, or internal meetings – so you get not just text, but structured, actionable information.
Integrated into Existing Workflows
Transcripts land directly where they're needed: in the CRM as a call note, in the ticketing system as a summary, in the project management tool as tasks. We build the pipeline so the process runs fully automatically – no manual step between conversation and documentation.
Privacy and Confidentiality
Conversation data is sensitive. We use solutions that run on-premise or in a GDPR-compliant cloud environment. No data on third-party servers, clear access rights, and defined deletion periods – compliance is built in from the start, not bolted on afterward.
From recording to structured data record
AI-powered speech transcription is not a single step but a pipeline: each phase processes the output of the previous one, and only the final stage makes results usable in your systems.
Audio capture & pre-processing
Recording from meeting tools, phone systems, or dictation devices; noise reduction and channel separation for clean input.
Transcription & speaker attribution
AI model with domain-specific vocabulary recognises words; diarization assigns every sentence to the correct speaker.
Structure extraction
Topics, decisions, open tasks, and sentiment are extracted from the raw text – no endless verbatim transcript.
Quality assurance & approval
Confidence scores flag uncertain passages; optional manual review step before forwarding.
System integration & filing
Structured output lands automatically in the CRM, ticketing system, or document archive – conversation and documentation close the loop without manual handoff.
Every phase is automated – no manual step falls between a conversation and the CRM entry.
What makes transcription production-ready
Four dimensions separate a demo tool from a production-grade solution. The weighting shows where the biggest practical difference arises.
- Transcription accuracy (domain terms, names, numbers)Errors here shift work from note-taking to correction
- Structure extraction (tasks, decisions, topics)Raw full text is rarely what is actually needed
- System integration (CRM, ticketing, archive)Without integration the transcript remains a file to distribute manually
- Data governance (on-premise, access rights, deletion)Prerequisite for confidential conversations and GDPR compliance
Relative weighting
All values are relative quality weights – not measured outcomes.
What matters for Speech Transcription
With speech transcription, accuracy decides usability. A transcript with errors on technical terms, proper names or numbers shifts the work from note-taking to correcting and ends up saving nothing. Industry vocabulary, speaker attribution and handling overlapping speech are the points where a production-grade system differs from a nice demo.
Raw full text is rarely what you actually need. The value comes from structure: who said what, which topics came up, which tasks and decisions are left over. A good solution extracts this action-relevant information instead of leaving you an endless verbatim record no one reads twice.
Transcription unfolds its value only through the connection to your systems. When the structured result lands automatically in the CRM or ticket system, the loop between conversation and documentation closes with no manual step in between. Without this integration even the best transcript stays a file someone has to distribute by hand again.
Conversation recordings are especially sensitive data and demand clear governance. Whoever is recorded must be informed, and storage location, access rights and retention periods belong settled in advance. An on-premise or private-cloud setup keeps this data under your control, which for confidential consulting or HR conversations is often the very precondition for using it at all.
Fully Automated
From recording to structured document in the CRM – everything runs automatically, with no manual step between conversation and documentation.
More Than Full Text
Speaker identification, topic extraction, sentiment, and action item detection – the system delivers structured, actionable information, not just raw text.
GDPR-Compliant
On-premise or in your own cloud environment – conversation data stays under your control, with clear access rights and deletion periods.
Speech becomes text
With us you don't get theoretical AI consulting, you get a partner who delivers. We combine strategic thinking with technical execution power – from the first process analysis to the productive AI system. Together we find the levers where AI has the biggest impact and implement solutions that pay off. Your processes and goals are always at the center.
Comprehensive know-how in AI strategy and implementation
Experience with leading AI platforms: OpenAI, Claude, ElevenLabs, CloudBot
Over 10 years of experience in software development and system integration
Interdisciplinary team of developers, strategists and UX experts
Sustainable AI solutions that strengthen your company long-term
READY TO TAKE YOUR PROCESSES TO THE NEXT LEVEL WITH AI?
Related articles from our blog
Voicebots for Business: Providers, Costs & GDPR at a Glance
Which voicebot providers are out there, what a voicebot costs and what you need to settle on data protection — the practical B2B overview for your decision.
AI automation in SMEs: where it pays off immediately
You've often heard that AI saves time. But where does it pay off immediately? The four types of levers with the fastest return, a beer mat calculation and the right first candidate for SMEs.
n8n in SMEs: 7 workflow automations that pay for themselves in 4 weeks
From the third automation, Zapier tips into the three-digit monthly range. With n8n self-hosted, it remains at around 25 euros plus infrastructure. Seven specific workflows - invoice receipt, lead routing, threshold alerting, shop pipeline, contract terms, onboarding, daily briefing - each with a quantity structure and ROI calculation. Including self-hosting vs cloud decision and honest delineation of where n8n does not belong.
Frequently asked questions