Support and follow-up
Draft responses using approved information and hand conversations over when needed. Actions involving customers are defined in the project scope.
US · Latin America · Built from Peru
Turn a repetitive task into a workflow your team can use and supervise. We assess assistants, document workflows and integrations from Peru for US and Latin American businesses.
AI integration
A starting point
Start with a specific task: answering questions, finding information or reviewing documents. Record how it works today, which data it uses and how you would measure improvement. We then assess whether conventional automation is enough or AI adds value, and define a pilot before expanding its use.
What we can assess
We select what your first release needs. Each project is defined by its scope and integrations.
Draft responses using approved information and hand conversations over when needed. Actions involving customers are defined in the project scope.
Search internal documents or extract fields for review. We assess source quality, access and freshness.
Assess connections to your CRM, ERP, website or WhatsApp based on APIs, permissions and provider terms. Each integration has a defined scope.
How we start
Map inputs, owners, exceptions and the time the task takes today.
Review sources, permissions and the information the workflow actually needs.
Compare output quality, errors, cost per use and review effort with the current process.
Agree on access, supervision, error monitoring and criteria for expanding the pilot.
Our work
CyberPOS and OnTurn show our experience building operational and booking software. Explore their engineering to understand our approach.
Explore our engineeringBefore you decide
A chatbot handles conversation; an agent can use tools to carry out steps. The task determines the approach. If it changes records or sends information, we define permissions, confirmations and an action log.
We assess its APIs, documentation, permissions and data. Replacing the system is not always necessary; a focused integration or assistant may be enough.
It depends on the workflow, data sources, integrations and evaluation required. The proposal separates development, model usage, infrastructure and support. A pilot helps make those costs observable.
AI can make mistakes. We define evaluation examples, permitted sources, human review and a fallback when a reliable answer is unavailable. Controls depend on the consequences of each task.
Not necessarily. We first evaluate available tools and models, their connection to your data and response quality. Training or fine-tuning is considered only when a clear need and suitable data justify it.
The first step
Tell us which task you want to improve, how it works today and where the information lives. We will help define what to test first.
Lima, Peru · Projects for the US and Latin America
Monday–Friday · 09:00–18:00 · UTC−5
We review your enquiry. If it is a fit, we arrange a conversation to clarify scope and prepare a proposal.