---
title: "AI integration — Orvun Labs"
description: "AI where it helps. Clear boundaries where it matters."
canonical: "https://orvunlabs.com/en/services/ai-integration"
language: "en"
last_modified: "2026-09-14"
---

# AI integration

AI where it helps. Clear boundaries where it matters.

## A good fit when

Your business has a repeatable reading, extraction or assistance task and a way to judge answer quality.

## Consider another route when

A deterministic rule or database query already gives a reliable answer with less uncertainty.

## What we can deliver

A bounded AI feature, evaluation examples, source visibility, human review and a fallback path.

## How we approach it

We test representative cases and failure cases, keep permissions outside the model and set review thresholds.

## What shapes the scope

Data quality, model usage, evaluation, latency, permissions and human review all affect cost and scope.

## Related reading

- [Making a chatbot answer from company knowledge reliably](https://orvunlabs.com/en/journal/reliable-company-knowledge-chatbot.md)
- [RAG, tool calling or a deterministic query?](https://orvunlabs.com/en/journal/rag-tools-or-deterministic-queries.md)
- [Estimating chatbot cost from users, requests and tokens](https://orvunlabs.com/en/journal/ai-chatbot-cost-assumptions.md)

## Let's make something useful.

A first product, a difficult workflow or software that needs a fresh start. Tell us where you are.

- [Tell us about your project](https://orvunlabs.com/en/contact)

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