You will get Production Voice AI Agent on Retell AI — Inbound & Outbound
Project details
You will get a production-grade Retell AI voice agent that handles your inbound and outbound calls with the same reliability as a trained human rep — answering questions, qualifying leads, booking appointments, and routing to live agents only when it matters.
Your agent will be built on the same stack powering 2,000+ monthly calls across enterprise financial institutions, where it cut human escalations by roughly 30% while maintaining sub-second response latency and natural turn-taking.
You will get: a fully scoped use case, a tuned system prompt and persona, a grounded knowledge base (RAG over your docs), custom function calls into your CRM or scheduler, Twilio/Retell telephony wiring, Cekura-based evaluation suites with edge-case coverage, call recording and observability dashboards, and a clear handoff with documentation your team can operate.
The work delivered is 100% custom, production-tested, and built to scale with your call volume from day one.
Your agent will be built on the same stack powering 2,000+ monthly calls across enterprise financial institutions, where it cut human escalations by roughly 30% while maintaining sub-second response latency and natural turn-taking.
You will get: a fully scoped use case, a tuned system prompt and persona, a grounded knowledge base (RAG over your docs), custom function calls into your CRM or scheduler, Twilio/Retell telephony wiring, Cekura-based evaluation suites with edge-case coverage, call recording and observability dashboards, and a clear handoff with documentation your team can operate.
The work delivered is 100% custom, production-tested, and built to scale with your call volume from day one.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Speech, Natural Language Understanding, Speech SynthesisAI Models
GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
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 |
About Olabisi
Voice AI Engineer | n8n & Agentic Workflow Automation | Retell AI
Ipaja, Nigeria - 6:20 pm local time
I'm Olabisi, a Voice AI Engineer and n8n automation specialist. I build production-grade voice agents and agentic workflows that actually run in the real world.
I work on three things, all production-grade:
- Voice AI agents (Retell AI) : customer-facing systems that handle real call volume
- Agentic n8n workflows : multi-tool automations that replace full-time manual work
- Evaluation infrastructure (Cekura) : measurable QA so you actually know if your Agent is working
On the automation side, I build n8n workflows that connect your CRM, scrapers, LLMs, and outreach tools into a single automated system. A recent example: an end-to-end lead generation pipeline integrating Apify, Reoon, and Apollo that produced 3,000+ qualified legal-industry leads which the client now uses weekly to power their email campaigns. If your team is doing this work manually across multiple tools, that's exactly what I build.
On the evaluation side, I build layers on Cekura that give your voice and chat agents measurable quality control — custom metrics, trigger prompts, and evaluators that reflect real production behavior.
Proof your project is in the right hands:
- Refactored a flagship Information Gathering Voice Agent prompt into a "golden standard" template adopted across 7+ enterprise banking agents on Retell AI reducing call failure rates by 20%.
- Built evaluation systems consistently scoring 15–20/20 on real production calls through tuned metrics and trigger logic.
- Delivered an n8n workflow automation now used weekly in production for a national attorney awards campaign.
Send a message describing your current workflow bottleneck or the voice agent you're trying to build. You'll get a reply within 12 hours with a candid assessment of whether we are a right fit — and if we are, a concrete next step to get your project started this week.
Let's ship something real.
Steps for completing your project
After purchasing the project, send requirements so Olabisi can start the project.
Delivery time starts when Olabisi receives requirements from you.
Olabisi works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff Call & Scope Lock
30-minute call to map your use case, review requirements, and lock the final scope in writing. You will leave knowing exactly what your agent will handle, integrate with, and succeed at.
Prompt & Persona Design
Design your agent's prompt, persona, and conversation flow. You will review a prompt spec and sample dialogue before any live build begins — so your agent sounds exactly right from call one.