AI implementation, integration and consultancy

We start an AI implementation project with your processes, data and systems, not with the choice of a particular artificial intelligence tool. We assess where AI can bring a practical benefit, where ordinary automation is enough and what is not worth changing for now. If a solution is justified, we can also build and integrate it.

AI opportunity audit

Before you invest in development, we establish which tasks AI is suited to and how to bring it into your working processes safely.

Process review

Together with your team we go through the day-to-day processes, the recurring tasks, the flow of information and the places where a lot of manual work is spent today.

Assessment of the options

We assess how suitable AI is, the data and integrations required, the complexity of implementation, the risks and the practical benefit to expect.

List of priorities

We prepare a step-by-step implementation plan - what is worth starting with, what to leave for later and which processes do not need AI.

Integration with your existing systems

An AI solution does not have to live apart from the rest of your company's IT environment. It can be connected to a CRM, an online store, document workflows, internal systems and other data sources, with the data and actions available to it defined for each process.

  • Integration of language models and AI services into your processes
  • RAG systems for working with company documents and knowledge sources
  • API connections with CRM, online stores and other systems
  • Data flows, access rights and security requirements to suit the specific solution

Not sure which AI solution to start with?

Tell us which process takes up time or causes problems - we will assess whether AI is justified there at all.

Book a call

Team training

Introducing a tool is not enough on its own. We help your team understand how to use AI in their own working processes, how to set tasks, check the result and in which cases the decision should be left to a person. We base the training examples on your real working scenarios.

One conversation before an audit

You do not need to know in advance which AI solution you need. Describe the process or problem you want to improve. In an initial conversation we can work out whether a wider audit is needed, a specific integration, or whether AI is not the most suitable solution in this situation.

Frequently asked questions

How much does an AI implementation consultation cost?

An initial conversation shows whether you need a wider AI opportunity audit or whether a single consultation is enough. The price of an audit depends on the number of processes and systems to assess and whether a technical prototype is needed too. We state the price in the proposal after that conversation.

Will an AI opportunity audit help if it is not clear whether AI suits our business at all?
Yes. The purpose of the audit is to establish in which processes AI can be justified and in which it cannot. Sometimes the more suitable answer is ordinary automation or improving an existing system, and sometimes no change is needed for now.
Can you also build and integrate the solution after the consultation?
Yes. CreateIT develops software and integrates systems, so after the assessment we can continue with a prototype, an integration or the development of a full solution, within the agreed scope.
How long does an AI opportunity audit take?
The length of the audit depends on the company, the number of processes to be analysed and the level of detail needed. We set the scope and timeline after the initial conversation, once it is clear exactly what has to be assessed.
How is company data protected in an AI integration?
How data is processed depends on the model, the service and the integration architecture chosen. In the project we define which data may be passed to the AI service, what access it needs and which security and data protection conditions have to be met. If the solution has special requirements, we assess them before integration.

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