Turn recorded conversations into transcripts your team can check and use.
Build custom AI transcription software with speaker editing, timestamped summaries, action-item review and exports for consented recordings.
Our approach to AI Transcription & Meeting Intelligence Development
A useful meeting record needs more than generated text. Consultants, researchers and operations teams need to correct speakers, check a decision against the recording and export a record that fits their work. We build custom AI transcription and meeting intelligence applications around that review process.
BrainGlow AI Transcriber provides a prototype reference for transcript editing, timestamped insights and exports. Your project starts with recording consent, representative audio and a defined review-to-export journey. Team accounts, storage, retention and downstream integrations are scoped explicitly.
When to choose this service
- Consultant meeting notes and reviewed action items
- Research interview transcription with speaker correction
- Recorded service conversations with timestamped summaries
Project success criteria
We agree measurable goals and acceptance checks during discovery. Outcomes depend on the scope, starting point and how the solution is used.
Quality
Representative acceptance tests
How we review this
Control
Human review and recovery
How we review this
Ownership
Documented handover
How we review this
What You Get
- Recording-input and consent workflow definitionAcceptance checkReview “Recording-input and consent workflow definition” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
- Transcript editor with speaker correction and timestamp navigationAcceptance checkReview “Transcript editor with speaker correction and timestamp navigation” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
- Reviewable summaries, decisions and action itemsAcceptance checkReview “Reviewable summaries, decisions and action items” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
- Agreed text, Markdown or subtitle exportsAcceptance checkReview “Agreed text, Markdown or subtitle exports” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
- Representative audio evaluation and provider-cost baselineAcceptance checkReview “Representative audio evaluation and provider-cost baseline” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
- Retention, access and operating documentation for the agreed scopeAcceptance checkReview “Retention, access and operating documentation for the agreed scope” in the agreed user journey with representative data. Confirm who owns it, which exceptions must be handled and what evidence is needed for acceptance.
How We Execute
- 1Choose the recording source, languages and review taskReview this stepFor “Choose the recording source, languages and review task”, agree the input, responsible person, expected output and the decision required before moving forward. Keep exceptions and remaining work visible in the project review.
- 2Assess sample audio, consent and provider handlingReview this stepFor “Assess sample audio, consent and provider handling”, agree the input, responsible person, expected output and the decision required before moving forward. Keep exceptions and remaining work visible in the project review.
- 3Build transcription, correction and export journeysReview this stepFor “Build transcription, correction and export journeys”, agree the input, responsible person, expected output and the decision required before moving forward. Keep exceptions and remaining work visible in the project review.
- 4Verify representative recordings and hand over the operating scopeReview this stepFor “Verify representative recordings and hand over the operating scope”, agree the input, responsible person, expected output and the decision required before moving forward. Keep exceptions and remaining work visible in the project review.
Next Step
Discuss your transcription workflow
Share your goals and current setup. We will give you a clear scope, timeline, and success criteria before build starts.
AI Transcription & Meeting Intelligence Development: common questions
Can you adapt BrainGlow AI Transcriber for our workflow?
Yes, subject to technical and rights review. The existing prototype supports transcript review, speaker editing and exports. Hosted libraries, team access and integrations require their own implementation scope.
Will the system join meetings automatically?
A meeting bot or calendar integration is a separate capability. The initial scope can use consented uploads or microphone recording; provider access and participant consent are reviewed before any automated capture.
How do you measure transcription quality?
We use representative recordings to review word accuracy, speaker assignment and the faithfulness of summaries. Users retain correction controls. Language support and quality are checked with your examples before acceptance.
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Your next step
Ready to plan your project with BrainGlow?
Get a concrete execution plan and timeline matched to your growth goals.
Choose a workflow with a clear owner and a recoverable failure path
Bring a process example, the tools involved, and the point where work stalls. Start with one trigger and one expected result. Identify which decisions can follow fixed rules, which need interpretation, and which require a person to approve the next action.
- Document access requirements and the system that owns each field.
- Test duplicate inputs, invalid data, and unavailable integrations.
- Agree on a manual fallback, monitoring owner, and a baseline before expanding.
Review related delivered projects to assess fit. Timeline and outcomes depend on scope, data quality, and third-party access; define acceptance criteria during discovery.