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Typing notes on a phone after every meeting kills momentum and data quality. Modern speech-to-text engines now hit 96–98% accuracy in English, meaning voice is finally enterprise-ready.
Key stat:
Field reps waste 5+ hours/week on manual CRM updates, according to Gartner's 2024 Sales Productivity Survey.
Native or web app listens for up to 2 minutes of speech.
Audio streamed to ASR (e.g., OpenAI Whisper, Deepgram) with real-time timestamps.
LLM parses intent ("create opportunity", "update close date") and entities (amount, stage, contact).
Schema mapper converts natural language to CRM fields, applying business rules (e.g., stage must advance).
Signed API call writes to CRM; response is echoed to user via TTS.
"Note: ACME needs revised quote by Friday."
"What's my Q3 commit north of $50k?"
"Set a task for next Tuesday to send deck."
"Show mobile for Sarah Lee at Globex."
Tedious typing on mobile
Save ~30 min/day; less context switching
Incomplete data
Real-time, structured updates improve forecast accuracy
Dirty fields & audit gaps
Consistent taxonomy enforced at capture
Shadow tools
Single, compliant layer w/ audit trail
Salesforce, HubSpot, Microsoft Dynamics, Zoho, Pipedrive, and any platform with a REST API.
Yes—TLS 1.3 in transit; AES-256 at rest. Voice snippets auto-delete after 30 days (configurable).
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