AI
solutions
We develop tailored AI agents that help you solve specific tasks – faster, smarter, and more efficiently.









- Selected solutions
From automation to insight. From idea to impact.
AI agents and digital assistants
Examples
Custom AI Agents (RAG)
We build AI agents tailored to your workflows, domain, and specific needs.
Content development
Generates drafts for articles, posts, and campaigns – in your tone and targeting.
Lead and sales management
Responds to customer inquiries, handles requests, and qualifies leads.
Price estimation and quotations
Generates quotes and estimates prices based on input, past data, and rules.
E-mails and calender
Drafting and summarizing emails, scheduling meetings, and coordinating – integrated into your systems.
HR and recruitment
CV screening, job posting preparation, and automated HR support.
Case management
Handles requests, gathers data, and prepares drafts – quickly and efficiently.
Knowledge retrieval
Finds relevant information in your internal documents, databases, or archives.
AI chatbots and user interaction
AI chatbots enhance customer experiences and automate interactions — from support and FAQs to forms, bookings, and sales. They integrate with your CRM, knowledge base, or other systems and are tailored to your tone, needs, and audience. Connected to your data, they deliver precise, relevant, and actionable answers, ensuring a professional, consistent, and efficient experience for both customers and employees.
Examples
Customer service and support chatbots
Answers questions, guides users, and handles requests around the clock.
Form and booking chatbots
Manages input and time selection through conversations – fast and user-friendly.
CRM-integrated chatbots
Retrieves data, updates systems, and personalizes responses based on customer history.
Sales and marketing chatbots
Engages visitors, qualifies leads, and guides them along the customer journey.
Text and document automation
AI can read, understand, and process text with a speed and precision that saves time and minimizes errors. With solutions for document analysis, text generation, and automatic categorization, we can digitize manual workflows and ensure better overview, quality, and compliance. We adapt the solutions to your specific document types, domain language, and workflows – whether it involves emails, reports, PDFs, or contracts. The result is faster processes, less manual work, and higher data quality.
Examples
AI for document analysis and data extraction
Extracts key information from documents, invoices, reports, and forms – structured and ready for further use.
Automatic document generation
Produces drafts for documents, emails, or notes based on input, templates, or previous text examples.
Transcription and meeting notes with AI
Converts audio recordings into text and summarizes meetings with a focus on decisions, tasks, and key points.
AI for email generation and summarization
Creates emails or reply drafts, summarizes long threads, and suggests next steps – directly in your email client.
OCR and AI-enhanced text recognition
Digitizes scanned documents and PDFs – enriched with metadata, structure, and content analysis.
AI for text comprehension and tone adjustment
Adapts content to target audiences, tone, and purpose – ensuring clear, consistent, and context-aware communication.
Automated document archiving and categorization
Automatically places documents in the right location and tags them with topics, labels, and context for easy retrieval.
Data analysis and decision support
AI can help you unlock far more value from your data – by identifying patterns, detecting anomalies, and predicting future trends. With data-driven decision tools and dashboards, you gain not only an overview but also concrete recommendations that strengthen your business. We develop solutions that combine analysis, visualization, and intelligence – tailored to your KPIs, workflows, and decision-making processes. Whether you seek insights into operations, customer behavior, or future scenarios, we give you an edge.
Examples
AI for pattern and outlier detection
Identifies repetitions, anomalies, and signals in large datasets – faster and more accurately than manual analysis.
Predictive analytics and forecasting
Predicts trends, demand, or risks based on historical data and advanced models.
Automated data visualization and dashboards
Translates complex data into intuitive visualizations and dashboards – updated in real time.
AI recommendations and decision support
Maps customer behavior and churn likelihood – and suggests the best ways to respond.
Churn and customer behavior analysis
Maps customer behavior and likelihood of churn – and recommends the best response strategies.
Text analysis and sentiment detection
Analyzes customer feedback, emails, or open responses to assess sentiment, attitudes, and topics.
AI forecasting and scenario simulation
Tests possible developments and helps you make robust decisions in uncertain situations.
Intelligent search and recommendations
When AI is combined with search and navigation, it becomes possible to find exactly the information you need – quickly, intelligently, and across platforms. At the same time, AI can tailor recommendations to the user based on behavior, needs, and context. We build search solutions and recommendation engines that combine your data with language models, user logic, and company-specific knowledge. This creates better overview, higher relevance, and a more personalized experience – both internally and externally.
Examples
AI search and semantic search
Understands user intent and finds relevant results – even with vague queries or complex language.
AI customer recommendation and personalization
Adjusts the display of products, content, or solutions based on the user’s behavior and preferences.
RAG solutions (Retrieval-Augmented Generation)
Combines AI-generated text with verifiable knowledge from your own documents and data sources.
Behavior-based product recommendations
Analyzes purchasing and click patterns and suggests products that match users’ interests and needs.
Automatic content sorting and tagging
Organizes articles, documents, and files using topics, categories, and metadata – without manual effort.
Internal search across platforms
Enables searching across multiple systems and formats simultaneously – e.g., intranet, databases, and cloud folders.
Knowledge-based AI agents for intranet and support
Answers questions and guides users to the right place – based on your documents and guidelines.
AI for navigating large databases or archives
Makes it easier to locate precise information – even in unstructured or older datasets.
Intelligent search bars in products or databases
Improves the user experience with suggestions, autocomplete, and semantic search understanding.
Estimators based on predefined requirements or input
Provides the user with a qualified answer – e.g., price or solution – based on their specifications.
Visual AI and image analysis
It can be used for everything from quality control and recognition to generating new content and advanced image search. This opens up new possibilities to automate processes, improve precision, and detect patterns that humans might overlook. We develop solutions that can be integrated into production, customer-facing systems, and internal workflows – and that can be trained on your specific image data and requirements. Whether you work with images, video, or 3D, we build a solution that creates real value.
Examples
Image recognition and quality control
Identifies objects, defects, and deviations in images – e.g., in production, scans, or documentation.
AI for scanning errors, or irregularities
Analyzes images for specific damages, wear, or defects – and automatically categorizes the findings.
Automatic sorting of image content
Classifies and organizes large volumes of image material – based on subjects, context, or metadata.
Generative image production
Creates new images based on descriptions, input, or a combination of previous examples.
3D modeling and simulation
Generates or processes 3D models based on images, measurements, or design parameters.
Video analysis and object detection
Tracks and identifies objects or events in video recordings – in real time or as batch analysis.
- Benefits of AI
Benefits of AI solutions for your business
AI is not a goal in itself – it is a means to solving concrete challenges and creating lasting value. When artificial intelligence is used the right way, it can transform both daily operations and the bottom line of a company.
At AIgentur, we have seen how AI solutions create measurable benefits across many different types of organizations. Below, we outline five of the most important gains our clients typically experience when AI is thoughtfully integrated into processes and systems.
Time savings
AI can take over several repetitive tasks such as emails, meeting notes, and data entry – freeing up time for what truly creates value.
decisions
AI analyzes large volumes of data and highlights patterns, enabling you to make decisions faster and with a stronger data foundation.
Customer service
AI ensures fast responses, relevant recommendations, and round-the-clock availability – enhancing both service and satisfaction.
Scalability
AI solutions can easily handle more customers, tasks, or markets – without requiring a proportional increase in staff.
Quality
AI performs tasks the same way every time – without skipping steps or making mistakes that can easily occur manually.
- Our process
How we create AI solutions that work in practice
At AIgentur, we work with a structured and transparent process that ensures the solution fits your needs – and delivers value from day one. We believe in close dialogue, clear agreements, and continuous quality assurance.
The process is carried out in six phases and can be adapted to both small and large projects.
1. Scoping
2. Approval
3. Development
4. Test
5. Feedback
6. Implementation and onboarding
- AI in practice
How do companies use AI in practice?
AI is no longer experimental. Today, both private and public organizations use AI to strengthen customer service, analyze data, and automate routines – quickly, accurately, and at scale. At AIgentur, we help turn ideas into solutions that work in practice. Here are five typical applications we work with:
Tailored AI agents
AI agents can be set up to handle a wide range of tasks – from text generation and document analysis to customer service, marketing, and sales support. They work quickly, consistently, and with precision, and can be tailored exactly to your needs.
The most valuable AI agents are those developed specifically for your requirements. This could be an agent that helps write and adapt marketing content, assists in sales conversations with suggestions and knowledge, or supports your employees with data analysis, search, or routine tasks.
At AIgentur, we develop AI agents from the ground up – trained on your data, your language, and your goals. We ensure the solution integrates seamlessly with your systems and workflows, so you gain maximum impact without having to start from scratch.
1
Chatbots for customer service and user interaction
One of the most widespread applications of AI today is intelligent chatbots. They can answer questions, guide users, and handle simple cases – without involving an employee. This means that customers and citizens get faster responses, while the company eases the burden on its support team.
The best chatbots are not generic – they are trained on the company’s own data, guides, and language. This makes them more precise, more relevant, and more trustworthy in user interactions. At the same time, chatbots can be integrated directly with systems such as CRM or booking platforms, enabling them not only to respond but also to act on behalf of the user.
At AIgentur, we build chatbots that work in practice – for private companies, organizations, and public institutions alike.
2
Automated email and document management
ChatGPT sagde:
Many companies spend a large portion of their working hours writing, adapting, and resending the same types of texts: emails, proposals, notes, internal minutes, and reports. Here, AI can take over the heavy lifting – both by generating first drafts and by tailoring the content to the recipient’s needs or context.
For example, AI can help fill in standard fields, adjust tone of voice, translate between languages, and intelligently reuse previous formulations. When combined with OCR (optical character recognition), AI can even extract and structure content from scanned attachments, contracts, and documents.
The result is fewer repetitions, fewer errors, and more time to focus on quality and content – instead of formatting and process.
3
Data analysis and pattern recognition
One of AI’s greatest strengths is its ability to analyze large amounts of data quickly and consistently. Where humans can easily overlook patterns or anomalies in complex datasets, AI models can identify trends, fluctuations, and risks – often in real time.
This can be applied in HR to detect early signs of stress, in sales to predict churn, or in strategy to evaluate whether a new initiative is actually effective. AI can analyze both structured data (numbers and tables) and unstructured data (text and free-text fields), opening new opportunities for decision support across the organization.
For many companies, this means that knowledge is no longer limited to those who can code or build spreadsheets – but instead becomes accessible as part of everyday work.
4
Intelligent search and recommendations
In a world with ever-increasing information, users expect to find what they are looking for – quickly and accurately. Here, AI makes it possible to significantly improve both search and navigation. Instead of relying on simple keywords, users can type questions or describe their needs, and AI understands the intent behind them.
AI-powered search functions can rank results by relevance, suggest related content, and adapt over time based on user behavior. This makes the experience both more efficient and more personalized. At the same time, the technology can be used to provide automatic recommendations – for example, products, articles, or actions – based on previous choices.
The result is more satisfied users, better conversion, and less friction in the user journey.
5
Visual AI and image analysis
Many companies have large amounts of images and video – but only a few have the time or resources to review and use them effectively. This is where visual AI becomes a powerful tool to analyze, structure, and leverage visual data – quickly and at scale.
For example, AI can detect defects and damages in images, sort image series by content, generate new visual material, or analyze video recordings in real time. These solutions can be integrated into your existing systems and tailored to your domain – from production lines and warehouses to consulting, insurance, or documentation.
The goal is not to replace the human eye – but to provide you with digital assistants that spot everything that would otherwise go unnoticed. And that ensure you can act faster, more consistently, and in a more data-driven way.
6
- Contact us
Ready to get started?
Let’s take the first step together
At AIgentur, we meet you where you are and help you turn your goals and challenges into concrete solutions.
You may already have an idea or a specific need. Or perhaps you are simply curious about how AI can be applied in your business.
Either way, we are happy to have an informal conversation – and show you how a structured and flexible approach can deliver results.
Book a meeting
- Frequently asked questions
From curiosity to clarity in just seconds.
How can AI be used in a company?
AI can be used to automate tasks, analyze data, improve customer service, and support decision-making. It frees up time and increases efficiency.
What types of AI solutions do you offer?
We offer chatbots, document automation, intelligent search functions, data analysis, and advisory services. All solutions are tailored to your specific needs.
Can you help us get started with AI?
Yes. We offer consulting, workshops, and proof of concept, so you can confidently explore the possibilities and find the right way forward.
Does using AI require large amounts of data?
Not necessarily. We help you make use of the data you already have – and can combine it with AI models that work with limited input.
How much does it cost to develop an AI solution?
It depends on the complexity and scope of the solution. We always offer a non-binding assessment and can provide you with a quick estimate.
Can AI solutions be integrated with our current systems?
Yes. We have experience integrating with systems such as CRM, booking platforms, and document management systems – both standard and custom-built.
- Our Testimonials
Hear It from Those Who Know Us Best.

Hazel Lily
Our Client
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Owen Samuel
Our Client
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Daniel Leo
Our Client
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