---
type: "Service"
title: "AI integration"
description: "We move AI past the experiment stage and build it into your processes in a way you can measure."
url: "https://www.roicool.com/en/services/ai-integration"
lang: "en"
dateModified: "2026-10-21"
expert: "Semih Bayındır"
resource: "https://www.roicool.com/en/services/ai-integration"
alternates:
  tr: "https://www.roicool.com/hizmetler/yapay-zeka-entegrasyonu.md"
generated: { by: "process:roicool-cms", at: "2026-10-21T19:11:05.617Z" }
related:
  - { title: "SESTEK", resource: "https://www.roicool.com/en/projects/sestek.md" }
  - { title: "All projects", resource: "https://www.roicool.com/en/case-studies.md" }
  - { title: "Custom software development: from idea to working product", resource: "https://www.roicool.com/en/services/custom-software-development.md" }
  - { title: "Web app development", resource: "https://www.roicool.com/en/services/web-app-development.md" }
  - { title: "API integration", resource: "https://www.roicool.com/en/services/api-integration.md" }
---

# AI integration

AI integration means connecting large language models and other AI services to a company's existing software and workflows: classifying requests, summarizing, assistants grounded in company knowledge, drafting. Roicool builds these integrations with an evaluation set that measures accuracy, data security rules and human oversight.

- Your team reads, classifies or summarizes the same kind of text over and over.
- Company knowledge is scattered across documents; people struggle to find answers.
- There have been AI experiments, but they were never connected to your processes or measured.

### Use case selection

Tasks that repeat often, can be measured, and where the cost of errors can be controlled.

### Data and security

Which data goes to which provider, retention and personal data rules.

### Development

Model selection, connection to company data, integration into the workflow.

### Evaluation

An accuracy evaluation set, human approval steps, cost and latency monitoring.

1. **Use case workshop**
2. **Prototype and evaluation**
3. **Production rollout and integration**
4. **Monitoring and improvement**

- Use case and risk document
- A working integration
- Evaluation set and results
- Monitoring dashboard

## Work we did in this area

- [SESTEK](https://www.roicool.com/en/projects/sestek)
- [All projects](https://www.roicool.com/en/case-studies)

## More services in Custom software development: from idea to working product

- [Custom software development: from idea to working product](https://www.roicool.com/en/services/custom-software-development)
- [Web app development](https://www.roicool.com/en/services/web-app-development)
- [API integration](https://www.roicool.com/en/services/api-integration)

## FAQ

### What is AI integration good for?

By connecting large language models to your existing processes, it speeds up work such as classifying text, summarizing, searching for information, drafting and routing customer requests. The value comes from well-chosen repetitive tasks.

### Can we have an assistant that works with our own data?

Yes. With a setup that connects your documents and data to the model through a search layer (RAG), you can have assistants that show the source of their answers. Accuracy is measured with an evaluation set.

### Which models do you use?

We evaluate models from different providers for each job; the choice depends on accuracy, cost, speed and data requirements.

Breadcrumb: [Home](https://www.roicool.com/en) › [Services](https://www.roicool.com/en/services) › [Custom software development: from idea to working product](https://www.roicool.com/en/services/custom-software-development) › AI integration

Source: https://www.roicool.com/en/services/ai-integration · Last updated: 2026-10-21