AI services for business: AI agents, automation and LLM products

An AI agent uses large language models (LLMs), can connect to your systems (CRM, knowledge base, ticketing), has a defined scope of responsibility and knowledge based on your data. An ordinary chatbot usually works to simple rules and paths. An AI agent is an intelligent assistant that can carry out tasks on its own, not only answer questions.

We design the architecture with security and compliance in mind (GDPR, company policies). We choose models and an integration approach that do not expose sensitive data. We can use cloud solutions with an appropriate level of protection, or on-premise solutions.

Best of all with a small but concrete use case: an AI agent handling repetitive questions, AI-ready content for key pages, or an internal assistant for searching documents. During the audit we help pick the area that will show a real effect quickly.

Yes, many AI solutions (AI agents, AI SEO, content optimisation) can work on public models and limited data sets. Analysing historical data is essential for advanced analytics, but it is not a condition for getting started with AI.

At the start we define specific KPIs: enquiry handling time, the number of cases resolved without a person, the number of leads, the cost of acquiring a customer. We implement analytics and dashboards that show how much work AI has taken over and how that translates into business results.

The cost depends on the scale of the solution, the number of processes to automate and how deeply it integrates with your existing systems. A simple AI agent needs a smaller budget than a complex data analysis system or a SaaS product. We start with an audit and a workshop, after which we prepare a realistic scope of work and a cost estimate.

It depends on the project. For AI agents, your own material matters most: FAQs, terms, service descriptions, the knowledge base. For advanced systems, historical data is key: leads, sales, user behaviour. During the audit we help assess what data you have and design a solution that matches what is realistically available.

AI makes a great deal of sense in small and medium-sized companies precisely because they have no large marketing or customer service departments. AI agents and automation take repetitive tasks off the team, letting you scale without hiring. Solutions built on off-the-shelf models let you introduce AI in stages and on a sensible budget.

The timeline depends on the complexity. A simple AI agent handling FAQs can go live within a few weeks. Advanced systems with CRM integrations, analytics and custom features take a few months. We propose a staged approach: a quick pilot (MVP) and then, once the results are proven, expansion into further areas.