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LLM integration Β· Lima, Peru Β· US hours

LLM integration and AI automation for businesses in the United States.

We add language models to your apps and automate documents, email and workflows, with answers grounded in your data, quality evaluation and human review where it matters.

  • Answers with cited sources
  • Evaluation and human review
  • Fixed-price pilot
Thoughtful person in front of a laptop; above, documents with a magnifying glass feed a language model that produces code, a database and a report with a quality shield

Integrating an LLM (large language model) means connecting it to your applications and your data so it can summarize, classify, extract information or answer questions inside your processes. gmedia.la, based in Lima, Peru and founded in 2010, integrates LLMs and automates processes for businesses in the United States, on Eastern/Central time, with RAG, quality evaluation, human review and a fixed-price pilot.

What is an LLM?

An AI model trained to understand and generate text: it summarizes, classifies, extracts data and answers in plain language.

What is it for?

Automating documents, email, search and workflows across your systems, with quality control.

How do we do it?

With RAG (search across your documents), evaluation with test cases and human review for anything sensitive.

Example

From a document to data your systems can use

A language model reads the invoice, extracts the fields and sends them to your ERP or database, with human review when something doesn't add up.

Invoice no. 2026-0914
VendorAcme Logistics SAC
Issue date09/14/2026
TotalUSD 1,284.50
Due date10/14/2026
Terms30 days
{
  "vendor": "Acme Logistics SAC",
  "date": "2026-09-14",
  "total": 1284.50, "currency": "USD",
  "due": "2026-10-14",
  "needs_review": false
}

Illustrative example with fictional data. In a real project we define with you what data is processed, where, and who has access.

How we do it

Answers grounded in your data, with quality controls

The system first looks up the relevant information in your documents (RAG), the model writes the answer from that information, and an evaluation and human review step protects sensitive decisions.

  • RAG: search across your documents before answering
  • Function calling to take action in your systems
  • Evaluation with test cases defined together with you
  • Human review and a log of every action
How an LLM integration works The company's documents are searched with RAG, the language model writes the answer from that information, and an evaluation and human review step checks the result before the answer is delivered with its sources. Your data RAG search LLM Answer with sources Evaluation + human review docs, CRM, ERP Quality check before delivery

What we can do

Processes where an LLM saves time

We start with the process that has the most repetitive work and a result that's easy to measure.

01

Documents and data

Turn documents into data your systems can use, with no manual entry.
Data extraction from invoices, contracts and forms Β· Document classification and tagging Β· Validation against your business rules Β· Results sent to your ERP, CRM or database

02

Email and tickets

Sort your inbox and requests so your team can focus on what matters.
Automatic summarizing and classification of messages Β· Routing to the right team or person Β· Draft replies for human review Β· Detection of urgent and sensitive topics

03

Search across your documents

A search that answers questions in plain language using your own information and cites its source.
Answers based on manuals, policies and knowledge bases Β· Every answer links to its source document Β· Control over who can see each document Β· Available in your app, site or internal tool

04

Workflows across your systems

Automations that connect your tools and use AI only where it adds value.
Multi-step processes across CRM, email, store and ERP Β· Approvals and human review where it matters Β· A log of every action for auditing Β· Alerts when something doesn't go as expected

Control and quality

Unchecked AI vs. controlled integration

gmedia.la integration

  • Based on your documents, with the source cited
  • Measured with test cases defined together with you
  • Go through human review
  • Every action is logged for auditing
  • You define what data is used, where it's processed and who has access

Unchecked AI

  • Can sound convincing even when they're wrong
  • Checked by eye
  • Made by the model
  • No clear record
  • Sent with no safeguards

Process

From manual process to AI automation

Step 01

Discovery

We pick the highest-impact process, review your data and define how to measure the result.

Step 02

Fixed-price pilot

We build a first version with a closed scope and real test cases to validate quality.

Step 03

Integration

We connect the solution to your apps and systems, with permissions, logs and human review where it fits.

Step 04

Evaluation and scale

We measure quality against your test cases, improve the system and extend it to new processes.

FAQ

What people ask about LLMs and AI automation

What is an LLM?

An LLM (large language model) is an artificial intelligence model trained to understand and generate text. Integrating one into an application lets you, for example, summarize documents, extract data, classify messages or answer questions in plain language.

What is RAG?

RAG (retrieval-augmented generation) is a technique where the system first looks up the relevant information in your own documents and then uses it to write the answer. That way answers are grounded in your information and can cite the source.

Can you integrate it into my current app or system?

Yes. We build on what you already use through APIs and webhooks, without forcing you to switch platforms: custom apps, CRM, ERP, helpdesk, Shopify, WooCommerce and databases.

How reliable are the answers? What about mistakes?

No AI system is infallible. That's why we design controls: answers based on your documents with the source cited, evaluation with test cases we define together with you, and human review for sensitive decisions.

What happens to my data?

We define with you what data the solution uses, where it's processed and who has access, and we sign confidentiality agreements (NDAs). You own 100% of the code and intellectual property we create for you.

How do we get started and how much does it cost?

We start with a free 30-minute discovery call and a fixed-price pilot with a closed scope. The cost depends on the process and the integrations; you get a quote in under 24 hours.

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What does it mean to integrate an LLM into a business?

Integrating an LLM (large language model) means connecting it to your applications and your data so it can summarize, classify, extract information or answer questions inside your processes. gmedia.la, a software development company based in Lima, Peru and founded in 2010, integrates LLMs and automates processes for businesses in the United States, on Eastern/Central time and in English and Spanish, with RAG, quality evaluation, human review and a fixed-price pilot.