AI is revolutionising our everyday lives and opening up entirely new possibilities. The pace of AI development is frenetic; seize the opportunities it brings now to stay ahead of the competition. Those who hesitate will be left on the shore to watch. Once AI is harnessed into your core business processes, you will see the benefits without question.
We will conduct a current state analysis to identify, assess and prioritise your use cases based on business benefits, and deliver initial implementation plans. If your AI deployment plans are ready, just missing an implementation, we will ensure an efficient execution together with you.
A cost that cannot be avoided, because all technologies eventually become obsolete. AI-supported systems modernisation – upgrading software systems platform, tools, components or libraries to newer or more advanced versions - is cost-effective. Compared to a traditional modernization project, leveraging AI helps avoid manual coding errors and expands the scope of automation testing for quality assurance.
Data processing is normally a slow, manual process. The use of AI allows data to be processed with less human effort. With the support of AI, it is faster, more accurate and more cost-effective.
When you want to implement more complex services instead of simple conversational bots, chained agent pipelines, where multiple AI agents work together to solve a problem, is a viable method. Such a solution can be used, for example, to improve/validate the quality of answers or to automate tasks that previously required experts.
Thanks to advances in artificial intelligence, routine human decisions can be automated more efficiently than ever before, taking automation to a whole new level. This will save you significant man-hours on repetitive and routine tasks, allowing your team to focus on business development instead.
Data security first! GenAI models often have security issues, as all data in the model is in principle interrogable. Together with our financial sector clients, we have developed approaches to ensure that even sensitive data can be used securely.
Deploying AI on a large scale is expensive. We have addressed this challenge, for example, by teaching local models. A task-specific local model can achieve significant cost benefits.
With our strong integration expertise, AI solutions can be well integrated into larger or existing entities.
Fluentia AI Factory is a service that brings AI-driven development to the entire software lifecycle. Our solutions accelerate development and ensure better quality and efficiency from start to finish. AI Factory addresses the most common challenges in software development. Fluentia AI Factory includes the following sections:
Fluentia AI Factory guarantees efficiency and quality at all stages of product development.
GenAI is not always the right solution in terms of cost or quality. For example, for different classification problems there are often more scalable machine learning models available.
Our experts also have extensive experience in other machine learning solutions, and we always choose the technologies we use according to the client's needs.
RPT sought to transform their vast collection of unstructured data into structured data products. We leveraged AI and large language models (LLMs) to convert this unstructured data into structured formats, creating relevant and useful classifications for RPT's clients. To safeguard RPT's business data from potential changes in OpenAI services, such as pricing or availability, we also developed a local model tailored to produce similar results without relying on external services.
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The AI-based content production suite will revolutionise the way OIKIO works. We implemented an industry-changing content production pipeline for OIKIO that leverages AI agents. The service Implemented by Fluentia allows users to create new AI action paths through an easy-to-use interface developed in the project. AI action paths enable the automation of various repetitive content production tasks and streamline many content production workflows.
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We have been implementing the underlying AI search solutions that support the editorial work and customer searches of a Finnish media house. Our solution is responsible for processing published content into the vector format required by AI content search. In addition, it takes care of processing the search results so that the indexed content is retrieved with the appropriate content fragments for the generation of the language model answer.
We leveraged AI-based content parsing and attribute shaping in the automation processes of our travel and leisure client. The AI implementation has enabled the automated processing of previously difficult-to-configure materials such as emails, thereby increasing the level of automation of operations.
Fluentia's team has been involved in modernising the computing applications of a financial sector company. The modernisation was AI-enhanced, so that both – the technical modernisation from a programming language to more modern programming language and the architecture upgrade – were implemented using AI tools. Fluentia's AI toolkit significantly helped to manage the risk of modernisation when upgrading business-critical computing applications. Compared to a more traditional modernization project, the project was able to avoid manual coding errors and expand the amount of automation testing for quality assurance.
Fluentia has been providing its expertise in designing the cloud architecture and data protection for the AI services of a Finnish pension company. In addition, we have been working with Microsoft experts to implement one of the world's first fully private networked Azure OpenAI and Prompt Flow implementations for them.
We have been responsible for the design of the cloud architecture and security for the AI services of a Finnish non-life insurance company.
