I will build gohighlevel ai voice middleware and n8n data pipelines
About this gig
Are your AI voice agents corrupting your GoHighLevel CRM data?
High-volume conversational AI tools (like Vapi or Retell AI) are incredible for booking appointments, but their raw speech-to-text transcripts frequently break CRM formatting. Missing phone characters, broken names, and unstructured data lead to duplicated patient records, high token bleed, and missed revenue.
As the Lead Architect at Synapse Systems Engineering, I build robust, decoupled n8n and Make middleware matrices that act as a strict data firewall between your voice AI agents and GoHighLevel.
What This System Resolves:
- Zero Token Bleed: Restructures incoming payloads so you only process high-intent data.
- Inline JS Sanitization: Automatically cleans spacing, forces proper casing, and normalizes phone numbers.
- Duplication Firewall: Scans your CRM first before creating new records to keep your data clean.
- Automated Recovery Trackers: Routes corrupt lead data to separate channels (like Slack/Gmail) for manual review instead of breaking your system.
Stop letting sloppy data ruin your CRM operations. Message me your system architecture layout today, and let's secure your pipeline.
Get to know Ahtisham
Automation and Systems Engineer, Make, Zapier, GHL, n8n
- FromPakistan
- Member sinceDec 2018
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What conversational AI voice platforms do you support?
I engineer robust middleware solutions primarily for Vapi and Retell AI. However, because my system uses custom n8n and Make webhook listeners, I can process raw JSON payloads from any conversational AI platform that supports standard outbound webhooks.
Why do I need middleware instead of linking my AI voice bot directly to GoHighLevel?
Direct connections are brittle. Raw transcripts contain formatting errors that cause massive token bleed and duplicate CRM records. My middleware acts as a strict data firewall to sanitize, clean, and verify patient or client data before it ever hits your database.
Do you train the voice models or write the voice prompts?
No. My focus is entirely on DataOps and backend middleware engineering. I handle secure data routing, payload sanitization, and CRM synchronization. Your team handles the internal prompt engineering and agent voice training directly within your chosen AI platform.
How does the "Discovery Phase" protect my business?
Before modifying your live CRM, I run deep API audits and map your system architecture. I build and test your custom data pipelines inside a secure, private n8n sandbox using simulated webhook data. This ensures your live system experiences zero downtime during production deployment.

