You will get Voice AI Diagnostic Audit
Project details
Voice AI systems fail in ways that don't show up in standard monitoring. Metrics looks fine. Logs look clean. But calls are dropping quality, scaling isn't behaving as expected, or the system simply isn't doing what you need it to do.
This audit is a structured diagnostic engagement — not an open-ended hourly conversation. You describe your situation, we align on context before we meet, run a focused diagnostic session together, and you receive a written report with clear findings and a prioritized path forward.
Whether you're troubleshooting a production issue, optimizing an underperforming system, or planning a new capability — this engagement is designed to get you from uncertainty to a clear answer.
This audit is a structured diagnostic engagement — not an open-ended hourly conversation. You describe your situation, we align on context before we meet, run a focused diagnostic session together, and you receive a written report with clear findings and a prioritized path forward.
Whether you're troubleshooting a production issue, optimizing an underperforming system, or planning a new capability — this engagement is designed to get you from uncertainty to a clear answer.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Text-to-Speech, Automatic Speech Recognition, Conversational AIAI Models
ChatGPT, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$997
|
Standard
$1,497
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$399 - $799
Second diagnostic call
(+ 2 Days)
+$300Frequently asked questions
About Jakin
Voice AI Systems Architect | Production, Monitoring & Integrations
New Braunfels, United States - 1:25 pm local time
I design production-grade Voice AI systems that stay up, stay measurable, and stay integrated.
With 13+ years in enterprise engineering (Booz Allen Hamilton, Rackspace), I build Voice AI deployments with deterministic routing, failover logic, CRM integrations, and real-time monitoring engineered in from day one — not added after something breaks.
What That Looks Like in Practice
For a multi-location service company, we deployed a Voice AI system that:
• Handled storm-driven call spikes without increasing staff
• Eliminated spam and unauthorized bypass attempts
• Routed warranty claims immediately to reduce liability
• Delivered real-time KPI dashboards with threshold-based alerts
Behind the scenes, the system supported 30 concurrent calls per provider and enforced a 5-second high-availability failover rule — ensuring predictable performance under pressure.
Management gained operational visibility instead of call logs.
I’m also the founder of VoiceLens, a Voice AI monitoring and alerting platform that provides separate technical and client-facing dashboards — allowing issues to be detected and resolved before they become complaints.
If you need something that works on day one — and still works on day one hundred — let’s talk.
Hands-on experience across the full Voice AI stack:
∙ Managed Voice AI: Retell, Vapi, Bland, Thoughtly, Synthflow, ElevenLabs (11Labs), OpenAI Realtime API
∙ Self-Hosted & Open Source: LiveKit, Pipecat, UltraVox (Fixie), Chatterbox, LFM2 (Liquid AI)
∙ Speech & Voice Tech: TTS, ASR, STT, VAD, Voice Cloning, ElevenLabs, Deepgram, Whisper, AssemblyAI, VibeVoice (Microsoft), Native Speech-to-Speech (S2S), Cascaded vs End-to-End (E2E) architectures
∙ Cloud & Infrastructure: Terraform, AWS (ECS/EKS, Fargate, Lambda), Azure (ACS, ABS, OpenAI Service), GCP, Kubernetes, Helm, Docker
∙ Telephony: Twilio, Telnyx, SIP Trunking, IVR systems, CallRail, RingCentral, Aircall
∙ CRM & Automation: GoHighLevel, HubSpot, Salesforce, Zapier, Make, n8n, Buildship
∙ Development: Node.js, Python, REST APIs, Webhooks, CI/CD, GitHub Actions, Scrum
∙ Monitoring: VoiceLens (founder), custom dashboards, real-time alerting
∙ Dev & Testing: Vagrant, Ansible, VMs, Railway, self-hosted open source deployments
Steps for completing your project
After purchasing the project, send requirements so Jakin can start the project.
Delivery time starts when Jakin receives requirements from you.
Jakin works on your project following the steps below.
Revisions may occur after the delivery date.
Review intake and prepare
I review what you've shared and follow up with any targeted questions before we meet. Nothing goes into the session cold.
Structured diagnostic session
We work through your situation together — symptoms, context, and configuration — in a focused 60-minute call.