Production Voice AI & Agentic Systems by Tobias Pucci RomeroProduction Voice AI & Agentic Systems by Tobias Pucci Romero
Production Voice AI & Agentic SystemsTobias Pucci Romero
Cover image for Production Voice AI & Agentic Systems
Build production-ready voice AI and agentic systems that do real work inside your product or operations.
Who this is for
This service is for startups, product teams, and established businesses that want to automate a meaningful workflow, not ship a demo that breaks on real users or real data. It is a strong fit for customer support, lead qualification, appointment scheduling, collections, commerce, and internal operations.
What I can build
Real-time voice agents for customer conversations
LLM and agentic workflows that reason, call tools, and complete multi-step tasks
Customer support, intake, qualification, scheduling, and operations agents
Product-facing AI capabilities connected to your existing application
Integrations with CRMs, internal APIs, databases, and business tools
What you get
A scoped architecture aligned with the business problem and your technical environment
Reliable prompts, tool calling, guardrails, and evaluation flows
Integrations with the systems and data the agent needs to do its job
Observability, logging, and cost-conscious operating practices
Documentation and a clear handoff so your team can operate and extend the system
How we work
We start by identifying the workflow with the highest potential impact and defining a practical scope. From there, I design the architecture, build and test the system, integrate it with your tools, and iterate toward reliable production behavior. The engagement can begin with a focused prototype and grow into a production system when the use case proves its value.
Relevant experience
I am a Senior AI Engineer with five years of experience building software and machine-learning products from research to production. My work includes production voice and LLM agent systems, a debt-collections voice agent with dialer and CRM integrations supporting millions of calls, shopping agents integrated with internal APIs, and published AutoML research.
The goal is not a generic chatbot. It is a system your team can trust to do useful work, with clear ownership and a practical path to operate it after handoff.
Contact for pricing.
Contact for pricing
Duration1 week
Tags
Agentic Systems
LLM Integration
Voice AI
Service provided by
Tobias Pucci Romero Buenos Aires, Argentina
Production Voice AI & Agentic SystemsTobias Pucci Romero
Contact for pricing
Duration1 week
Tags
Agentic Systems
LLM Integration
Voice AI
Cover image for Production Voice AI & Agentic Systems
Build production-ready voice AI and agentic systems that do real work inside your product or operations.
Who this is for
This service is for startups, product teams, and established businesses that want to automate a meaningful workflow, not ship a demo that breaks on real users or real data. It is a strong fit for customer support, lead qualification, appointment scheduling, collections, commerce, and internal operations.
What I can build
Real-time voice agents for customer conversations
LLM and agentic workflows that reason, call tools, and complete multi-step tasks
Customer support, intake, qualification, scheduling, and operations agents
Product-facing AI capabilities connected to your existing application
Integrations with CRMs, internal APIs, databases, and business tools
What you get
A scoped architecture aligned with the business problem and your technical environment
Reliable prompts, tool calling, guardrails, and evaluation flows
Integrations with the systems and data the agent needs to do its job
Observability, logging, and cost-conscious operating practices
Documentation and a clear handoff so your team can operate and extend the system
How we work
We start by identifying the workflow with the highest potential impact and defining a practical scope. From there, I design the architecture, build and test the system, integrate it with your tools, and iterate toward reliable production behavior. The engagement can begin with a focused prototype and grow into a production system when the use case proves its value.
Relevant experience
I am a Senior AI Engineer with five years of experience building software and machine-learning products from research to production. My work includes production voice and LLM agent systems, a debt-collections voice agent with dialer and CRM integrations supporting millions of calls, shopping agents integrated with internal APIs, and published AutoML research.
The goal is not a generic chatbot. It is a system your team can trust to do useful work, with clear ownership and a practical path to operate it after handoff.
Contact for pricing.
Contact for pricing