Claude AI Developer for Voice & CRM
Budget: $250 – $750 CAD
Summary
Project Overview
I am looking for an experienced AI/API developer to build an automated workflow using Anthropic’s Claude. The system must process both incoming voice calls (via speech-to-text) and live chat messages, extract key data, and automatically log structured summaries into our CRM.
Key Requirements
1. Voice AI Integration
Transcribe inbound/outbound sales or support calls using a provider like Twilio, Deepgram, or AssemblyAI.
Pass the transcribed text to Claude (Anthropic API) to identify:
Action items
Customer sentiment
Key dates/commitments
Return a structured JSON summary.
2. Chat AI Integration
Connect Claude to a live chat widget (e.g., Intercom, Drift, or custom webhook).
Enable Claude to respond to common customer queries or summarize agent-customer chats.
Ensure the same data extraction (action items, intent, urgency) as voice.
3. CRM Automation
Automatically push Claude’s structured output from both voice and chat into our CRM ([e.g., Salesforce, HubSpot, Pipedrive, Close, or custom API]).
Fields to update per interaction:
Call/chat transcript summary
Follow-up tasks & due dates
Lead stage or ticket priority
Avoid duplicates and handle partial matches.
Deliverables
Working Python (or Node.js) script/codebase with clear comments.
API endpoints or webhooks for voice and chat input.
Configuration file for CRM mapping (fields & authentication).
Brief documentation (1–2 pages) for testing and maintenance.
Freelancer Qualifications (Preferred)
Proven experience with Claude API (Anthropic) and prompt engineering.
Past work integrating voice (STT) and chat into a single workflow.
Familiarity with at least one CRM’s API (list which you know).
Bonus: Twilio, Make.com, or n8n automation experience.
Project Overview
I am looking for an experienced AI/API developer to build an automated workflow using Anthropic’s Claude. The system must process both incoming voice calls (via speech-to-text) and live chat messages, extract key data, and automatically log structured summaries into our CRM.
Key Requirements
1. Voice AI Integration
Transcribe inbound/outbound sales or support calls using a provider like Twilio, Deepgram, or AssemblyAI.
Pass the transcribed text to Claude (Anthropic API) to identify:
Action items
Customer sentiment
Key dates/commitments
Return a structured JSON summary.
2. Chat AI Integration
Connect Claude to a live chat widget (e.g., Intercom, Drift, or custom webhook).
Enable Claude to respond to common customer queries or summarize agent-customer chats.
Ensure the same data extraction (action items, intent, urgency) as voice.
3. CRM Automation
Automatically push Claude’s structured output from both voice and chat into our CRM ([e.g., Salesforce, HubSpot, Pipedrive, Close, or custom API]).
Fields to update per interaction:
Call/chat transcript summary
Follow-up tasks & due dates
Lead stage or ticket priority
Avoid duplicates and handle partial matches.
Deliverables
Working Python (or Node.js) script/codebase with clear comments.
API endpoints or webhooks for voice and chat input.
Configuration file for CRM mapping (fields & authentication).
Brief documentation (1–2 pages) for testing and maintenance.
Freelancer Qualifications (Preferred)
Proven experience with Claude API (Anthropic) and prompt engineering.
Past work integrating voice (STT) and chat into a single workflow.
Familiarity with at least one CRM’s API (list which you know).
Bonus: Twilio, Make.com, or n8n automation experience.
Related categories:
Python
Node.js
Laravel
JSON
Twilio
Intercom
API Development
AI Chatbot Development
AI Development
Claude (Anthropic)