AI agents
We build generative AI agent solutions that improve efficiency by automating workflows and supporting decision-making.
Our solutions free up experts’ time by shifting routine tasks to AI agents. At the same time, organisations can process larger volumes of information, respond faster and operate more consistently than with traditional ways of working.
AI agents
Where they are used
AI agents are particularly useful in situations where information is scattered across multiple systems and processing it requires time-consuming manual work.
Typical use cases include:
- retrieving information from internal systems and generating reports
- monitoring and analysing competitors
- continuously tracking market developments
- structuring large volumes of text into usable formats
- processing and completing requests for proposals
- checking entries and correcting errors
In these cases, an agent can handle individual tasks or complete processes from start to finish.
Examples of our work
Aggregating and analysing fragmented information
We have built AI agent solutions that collect information from multiple sources, structure it and turn it into analysed outputs that support decision-making. These solutions reduce manual information retrieval and make it easier to identify what matters in large volumes of data.
Processing large volumes of text
We have developed AI agent solutions that process extensive text-based material, identify relevant information and turn it into ready-to-use outputs for business purposes. This reduces manual work and makes information processing more consistent.
How AI agents connect with other solutions
AI agents are part of a broader system in which data, analytics and other AI solutions complement one another.
Agents can make use of an organisation’s data and systems and can be connected to speech- or text-based user interfaces. In more demanding use cases, they can also be supported by tailored models adapted to the organisation’s specific needs.
How we work
We start by identifying a process where automation can deliver clear and measurable value.
We then define the required data, integrations and implementation approach, and build an initial version for practical validation. Once the solution has been proven to work and deliver value, it is integrated into existing systems and scaled in a controlled manner.
AI agents
Why Monad
We build AI agent solutions for environments where processes need to work reliably and systems need to work together seamlessly.
We combine design, software engineering, AI and domain expertise to create solutions that work in practice and stand up to real-world use.
We work particularly in quality-critical and regulated industries, including defence, aviation, healthcare, industrial systems and mobile machinery.
In these environments, technology alone is not enough. We solve complex problems where processes, data and real-world operating conditions need to work reliably every day.
Get in touch
Where could AI agents create the most value for your organisation?
Let’s explore where automation can deliver the fastest value and how to move from idea to implementation in practice.
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Tomi Niemenmaa
Head of Sales