AI Applications & Automation Cyprus

AI Application
Development in Cyprus.

Turn repetitive work into practical tools. GarnetDevs builds custom AI applications, assistants and integrations that help businesses in Cyprus organise information, support customers and simplify everyday operations.

Practical AI, not hype

Useful applications built with existing AI models.

We don't train proprietary foundation models. Instead, we build useful applications on top of suitable existing AI models and services — connecting them to your data, your tools and your workflows so they do a real job rather than generate novelty.

The goal is always a defined problem solved: fewer repetitive tasks, faster answers, and work routed to the right person. Related work: custom web applications, web design & development.

What we can build

Six practical ways to put AI to work.

Custom AI Applications

Purpose-built interfaces and workflows with AI features for staff or customers. A focused application wraps the right model around a specific task — helping your team make decisions, giving customers self-service answers, or turning unstructured input into structured output.

AI Chatbots & Assistants

An assistant that answers based on approved business information, collects enquiries and hands over to a person when needed. Unlike a generic chatbot, it draws from your content — product details, policies, FAQs — so answers are relevant to your business.

Internal Knowledge Search

Help teams find answers across authorised company documents, with source references where appropriate. Instead of searching scattered folders, staff ask a question and get a direct answer pointing to where the information lives.

Document Processing

Extract, classify and summarise information from documents — invoices, forms, contracts, applications. A review step sits before any important update, so nothing changes automatically without a person confirming it.

AI Workflow Automation

Categorise incoming enquiries, draft responses and route work to the right team. AI handles the repetitive sorting and first-pass drafting; your team reviews and sends. Useful for support inboxes, lead qualification and internal triage.

AI Integrations

Connect AI features to your existing website, application or business tools — subject to their APIs and permissions. An assistant on your website, a processing step in your CRM, or a search feature inside an internal portal.

Example applications

What this could look like.

These are illustrative examples to show the shape of a project — not completed work or client results.

Property Agency Assistant

An assistant on a property website that answers questions about listings — location, price, features — and collects viewing enquiries with the visitor's details and the property they're interested in.

Online Shop Assistant

A shopping assistant that helps customers understand products, compare options and find what they need, then routes any support request or complaint to the right person.

Internal Document Assistant

A tool for staff to locate relevant information across company documents, prepare summaries for meetings or reports, and cite where the information came from.

Illustrative workflow

AI in the middle, people in control.

A common pattern: AI handles the sorting and first draft, a person reviews before anything goes out. Here's how that could work for incoming enquiries.

01Enquiry
02Classification
03Draft
04Human Review

Illustrative example — actual steps vary by project.

How a project works

From task to launch.

1

Define the Task

We identify the task the application needs to perform and what a successful result looks like — the inputs, the expected output, and where a person fits in the workflow.

2

Review Data & Integrations

We review the data the AI will work with and the systems it needs to connect to. This shapes what's technically feasible and what preparation is needed.

3

Build a Prototype

We build a focused prototype that handles the core task end to end — not a polished product yet, but something you can test with real examples.

4

Test & Validate

We test accuracy, failure cases and usability with representative inputs. Where the AI gets things wrong, we adjust the approach, the instructions or the data before proceeding.

5

Launch & Support

We launch the agreed scope, with monitoring and support arrangements defined in the proposal. Ongoing improvement is planned from the start, not added as an afterthought.

For some tasks, straightforward rules-based automation may be more suitable than AI. We'll tell you when that's the case — AI should solve a defined problem, not be applied for its own sake.

Costs & scope

What affects a project.

Pricing and delivery depend on the features you need, the data preparation involved, the integrations required, access controls and how thoroughly the application needs to be tested before launch.

It's important to separate development costs from ongoing costs. Once an AI application is live, you may incur hosting, model or API usage charges and maintenance — these depend on the providers and deployment approach chosen. We outline both clearly in the proposal so there are no surprises after launch.

We don't quote fixed prices or delivery times before scoping, because every AI project is shaped by its specific requirements. The first step is always a conversation about the problem you want to solve.

Discuss Your AI Project

Questions

Things people ask us.

What is a custom AI application?

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A software application built around a specific task, using suitable existing AI models and services. It's not a general-purpose chatbot — it's designed to do a defined job within your business, whether that's answering customer questions, processing documents or helping staff find information.

Can AI be added to my existing website or software?

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Often yes, depending on the platform and its available APIs. We assess what's possible during the review stage and are straightforward about limitations. Some systems are straightforward to integrate with; others may need a different approach.

How is a custom assistant different from a general chatbot?

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A general chatbot answers from a fixed script of pre-written responses. A custom assistant draws from your approved business information and can be connected to your tools, so answers are specific to your business and workflow rather than generic.

Can an application work in Greek and English?

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Language support is selected and tested for each project. We assess what's available for the languages you need and confirm coverage before proceeding. Greek and English are commonly supported, but quality varies between models — we test with your content.

How is access to business data handled?

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Data handling depends on the chosen AI providers, the deployment approach and your specific requirements. We discuss this during planning and reflect the arrangements in the proposal, including any relevant provider terms.

What affects development costs and ongoing running costs?

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Development depends on features, data preparation, integrations, access controls and testing requirements. Ongoing costs may include hosting, model or API usage and maintenance. We provide a tailored quote after scoping, with development and running costs clearly separated.

Let's build

Have a repetitive task or an AI product idea?

Tell us what you want to improve, the tools you currently use and who will use the application. We'll help define a practical starting point.

Discuss Your AI Project