Artificial intelligence

AI chatbots and virtual assistants

An assistant that answers customer and employee questions from your documents, price lists and procedures, and hands the case to a person when needed.

What we can do for you

Customer support 24/7

Answers to common questions on the website, in the app and in messaging apps, in the customer’s language.

Internal assistant

Fast access to procedures, policies and documentation for the team, without searching through folders.

Inquiry qualification

The bot collects the needed details and passes a complete ticket to the CRM or helpdesk.

Handover to a human

When a topic is unusual, the conversation goes to a human agent together with the full context.

About this service

AI adoption in a company usually starts with a single process: handling customer inquiries, processing documents, searching company knowledge or forecasting. Depending on the task we build chatbots and assistants, AI agents, process automation, OpenAI API (ChatGPT) integration, generative solutions with RAG, or predictive models.

As a software house we handle the engineering side: connecting the model to your systems, data security (with GDPR in mind), control of model usage costs, and the ability to switch providers without rebuilding the application.

The power of creation. See what our projects look like

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Why Cormo

Answers from your knowledge

The bot relies on approved sources, which limits hallucinations.

Quick rollout

We start with a pilot on one channel, so results show early.

Conversation analytics

You see what users ask and use it to improve your offer and content.

Technologies

  • RAG
  • WebSocket

Experience you can rely on

For years we have built business systems in PHP, Python and JavaScript. We treat language models and machine learning as one more component of such a system: first we establish which process should benefit and what data that requires.

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+100Projects
+10Years on the market
+10People on the team
27001ISO/IEC standard, information security

We work in line with ISO/IEC 27001

Data security is part of our process, not an add-on at the end of a project.

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How we work

  1. 01

    Meeting

    We learn the business goal, the users and the project constraints.

  2. 02

    Estimate

    We settle the scope, a first estimate and a schedule.

  3. 03

    Delivery

    We design, build and test in short iterations.

  4. 04

    Support

    We deploy, monitor and evolve the solution after launch.

Estimate calculator

Estimate your project in 2 minutes

Answer a few questions and we will prepare a first estimate and send it to your email. No strings attached.

See also

AI agents

An AI agent does not only answer, it acts: it fetches data, calls APIs, prepares documents and asks for approval where a person should decide.

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Process automation

We take over repetitive work with documents, emails and spreadsheets. Your team handles exceptions and decisions instead of retyping data.

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Generative AI

We connect language models to your company knowledge. With RAG, answers rely on current documents and not only on what the model learned earlier.

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AI consulting

Before you invest in artificial intelligence, we check where it will bring a measurable result, which data is needed and what it will cost.

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Predictive AI

The data your company already holds can suggest decisions. We build models that forecast demand, flag deviations and assess risk.

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Data science and analytics

We organize data from many sources and present it in a form you can use daily: reports, dashboards and analyses for management and teams.

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OpenAI (ChatGPT) integration

We connect OpenAI models to the apps, CRM and processes in your company. We design it so you can change the model provider without rebuilding the whole system.

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AI document processing

Instead of retyping invoices, contracts and orders, the system reads them, pulls out the needed data and hands it to accounting software or an ERP system. A person checks only what is uncertain.

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Computer vision

A camera or a phone photo can be a source of data. We build systems that recognize objects, read labels and detect deviations, and pass the results to your software.

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AI for e-commerce

A store holds data that can turn into sales: order history, search queries and product descriptions. We add AI features that help customers and save your team time.

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AI-powered applications

We help you build a new AI-based product or add AI features to an existing app or SaaS platform, so they are fast, secure and affordable to run.

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Frequently asked questions

What is an AI chatbot for business and what exactly do you deliver?

It is an assistant that answers customer or employee questions based on your documents, price lists and procedures, and hands the case to a person when needed. We deliver the complete solution: preparing the knowledge base, conversation logic, a website widget or messaging-app integration, and a panel for reviewing conversations. Answers are grounded in your materials, not in the model’s general knowledge.

How long does it take to implement an AI chatbot in a company?

We begin by organising knowledge sources and choosing the questions the bot should handle. Then we build a pilot, test it on real questions and improve it over several iterations. Timing depends on the volume and quality of documents and on integrations, for example with a CRM or ticketing system. We give a specific schedule after a short analysis, because a bot over one FAQ page is a different scale from an assistant connected to several systems.

What affects the price of an AI chatbot and how do you estimate it?

The main factors are the number and condition of knowledge sources, channels (website, messaging app, mobile app), system integrations, number of languages, handover requirements, and the running cost of the model. We prepare the estimate after reviewing your documents and expectations. We often suggest starting with one channel and a narrow set of topics, then widening it once you see the first results.

Can a chatbot make up answers, and how do you protect customer data?

The risk of wrong answers is real, so the bot answers from your documents, and when it cannot find an answer it says so and hands the conversation to a person. We test it on real questions before publishing, and in the panel you see which questions the bot could not answer. Rules for personal data in conversations, including storage and what is passed to model providers, are agreed with you at the start. We apply security management aligned with ISO/IEC 27001.

Who updates the chatbot’s knowledge after launch, and how can it grow?

A chatbot is only as good as the material behind it, so after launch it pays to review conversations regularly and fill knowledge gaps. We can do that for you as part of maintenance, or set the solution up so your team makes the changes. The code and documentation belong to you. Later you can add channels, languages or integrations without rebuilding everything.

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