Outsourcing AI agent development to a team in Latin America gives US companies a specialised team in their own working hours, without hiring in-house. Our team works from Lima, Peru, on UTC−5 all year, which matches US Eastern time in winter and US Central time in summer. This guide explains how nearshore AI development works, what the contract should cover and how to choose a partner.
What AI agent development outsourcing is
It means hiring an external team to design, build, integrate and maintain AI agents for your company. You define the process and business rules; the team builds the agent, connects it to your systems and improves it with real data. For background, start with what an AI agent is.
Why nearshore in Latin America
- Same working hours: Peru is on UTC−5 with no daylight saving time, so meetings, reviews and support happen during your business day, not overnight.
- Communication: teams that work in English and Spanish, which also helps if your customers or operations are Spanish-speaking.
- Short feedback loops: sprint demos and fixes in the same day, which matters when an agent is learning from real conversations.
- Regional channels: experience with WhatsApp, Latin American e-invoicing and local systems if you operate in the region.
How we run a remote AI project
- Discovery over video call: process, systems, data and how success will be measured.
- Proposal with a staged scope, timelines and a fixed price per stage.
- Sprints with regular demos and a direct channel with the engineers, in your time zone.
- Deployment in your cloud or the one we agree, with least-privilege access and action logs.
- Continuous improvement with metrics and support.
A first agent is usually in production within 4 to 8 weeks, starting with one specific process. The full process is described in how an AI agent is developed.
What the contract should cover
- Ownership of the code and data by your company.
- Confidentiality and personal data processing under the applicable law.
- Access: which systems the agent will touch and with which permissions (see AI agent security).
- Acceptance criteria you can measure at each stage.
- Support and maintenance after launch.
How to choose a nearshore AI partner
- Ask for real case studies and, if possible, try an agent they built.
- Check that they explain how they control quality and security, not just which model they use.
- Prefer staged proposals, with a narrow pilot before a large project.
- Confirm working hours and the communication channel from day one.
Try it before you decide
The agent on this website is AI software we built ourselves: chat with our agent and try it. Then see our nearshore AI agent development, AI automation and custom AI software services.