Artificial intelligence

AI consulting and rollout strategy

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

What we can do for you

Use case workshops

Together we pick processes where AI makes sense and rank them by value and difficulty.

Data audit

We assess the quality, volume and availability of the data needed.

Technology selection

We recommend models, architecture and vendors with cost and data protection in mind.

Plan and prototype

A staged rollout plan and a quick prototype that confirms the assumptions.

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

Lower risk

We drop ideas that do not pay off before they consume budget.

Vendor-neutral recommendation

We choose tools to fit the problem, not the other way around.

A path to delivery

The same team can build what we planned.

Technologies

  • RAG
  • pgvector
  • Cloud

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.

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See also

Chatbots and AI 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.

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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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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 does AI consulting involve and what will I receive at the end?

We check where in your company AI can deliver a measurable effect, what data it needs and what the risks are. You receive an organized list of use cases with a feasibility assessment, a recommendation on where to start, and an implementation plan with an effort estimate. Sometimes the finding is that AI does not pay off in a given spot. That answer has value too, because it saves budget.

What does an AI readiness audit look like and how long does it take?

We talk to the people responsible for processes, review the available data and systems, then rate ideas by value, difficulty and risk. We close with a walkthrough of the findings. Time depends on company size and how many processes you want covered. It is a much shorter stage than implementation, and it is meant to help you avoid costly mistakes in choosing a direction.

What determines the cost of consulting and how do I estimate an AI implementation budget?

Consulting cost depends on scope: the number of processes, departments and systems we analyse. The budget of a later implementation is estimated from the number of integrations, data quality, required accuracy and model running costs. We show ranges and assumptions, not a single figure from thin air, and point out what would change the estimate. That lets you decide before a large investment.

What data and compliance risks should be assessed before adopting AI?

It is worth checking which personal and confidential data will be processed, where it will go (a model provider or your own infrastructure), who can access it and how answer quality will be verified. We also assess dependence on a single model vendor. We do not replace legal advice, but we flag issues to discuss with a lawyer. We work in line with an ISO/IEC 27001 approach.

Do I have to commission the implementation from Cormo after consulting?

No. The report and recommendations are yours, and you can carry them out with your own team or another contractor. If you choose to work with us, we move from plan to prototype and then to implementation, working iteratively. The choice of contractor stays with you, and the recommendations keep their value either way.

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