Generative AI for businesses - Build AI solutions that create measurable business value

We help you apply generative AI in practical workflows, from knowledge search and document automation to AI features in existing systems. The focus is measurable impact, secure implementation, and long-term value.

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Development process - From concept to working AI solution

We analyze your needs and develop a first version for testing with real users. Based on results and feedback, we refine the solution for optimal performance and reliability.

Mapping use cases.
We analyze your processes and identify use cases where AI can provide concrete value. We also evaluate whether the problem can be solved more effectively with other methods.
Prototype and test.
We develop a first working prototype within 3-4 weeks that can be tested with real users. This validates the concept and provides a basis for further development.
Training and adjustments.
We adjust the system so it can find and use the right information from your PDF files, Word documents, or databases. Answers are generated based on the content of your own sources.
Integration and launch.
We integrate the AI solution with your existing systems such as CRM, customer service platform, or website. The solution is documented so you can manage and update it internally.
Monitoring and adjustment.
After launch, we analyze usage patterns and adjust the system based on actual questions and needs. Continuous optimization improves the quality of answers over time.
Continuous improvement.
We can continue to develop the system with new features, improved answers, or additional system integrations based on your needs. Support can be handled on an ongoing basis or internally depending on your organization.

Generative AI for businesses

We build generative AI solutions that help companies automate workflows, improve decisions, and make internal knowledge more useful. From document handling to AI assistants, we build around your business processes.

AI assistants for support and self-service. We develop AI assistants that help customers and employees get fast answers to recurring questions. The solutions can be used in support, onboarding, and internal service workflows.
Knowledge search across documents and systems. We build tools where employees can search documentation, manuals, and internal sources using natural language. The right information becomes easier and faster to access.
Document automation and data extraction. We use generative AI to transform unstructured text from emails, forms, and documents into structured data. This enables faster handling, classification, and follow-up.
AI features in existing workflows. We integrate AI into your current platforms, for example for text generation, summarization, categorization, and context-aware recommendations.

Previous projects

We work with companies of all sizes. Read about our previous projects and take the step towards a more innovative organization.

Case study

AI chatbot for geothermal permit applications

We developed an AI-powered chatbot for geothermal permit applications. The solution guides users step by step through the process using a chat-based form, interactive maps, and geographic checks.

Case study

SaaS platform for board work and meeting management

We helped Candoris Nova build a SaaS platform for board work and meeting management. The platform brings agendas, decision documentation, follow-up, and AI support into one system.

Case study

GRC system focused on supply chain security

We helped ChainSec build a GRC platform for NIS2, ISO 27001, and GDPR that consolidates supplier risk, gap analyses, and follow-up actions in one system.

Frequently asked questions about AI solutions

Here are answers to common questions about implementing generative AI in business workflows.

What can generative AI be used for in a company?

Generative AI can be used across multiple workflows: support, internal knowledge search, document processing, content production, and text-based data extraction. The right use case depends on your processes, data sources, and business goals.

How do you start with generative AI without taking too much risk?

A good first step is a focused pilot with a clear outcome, for example one workflow or one team. This lets you measure impact, identify risks, and decide on further investment based on real results.

How secure is our data when you use AI?

Your documents are stored securely on servers in the EU. We use OpenAI or similar services but can also set up our own solutions if you have sensitive data. Data can be encrypted and you always own your own documents and conversation logs.

Can AI make mistakes, and how do you handle that?

Yes, generative AI can produce incorrect answers. We handle this with quality controls such as testing, logging, response guardrails, and escalation to human agents when confidence is low.

How long does it take to get a system up?

A first testable version can usually be delivered in 4-8 weeks depending on scope and complexity. After initial testing, we continue development based on results and feedback. A broader implementation with multiple integrations typically takes 2-4 months.

Curious about the next step?

Tell us about your idea or project. We'll get back to you quickly and see how we can help you move forward. Don't hesitate to reach out, we're always interested in new collaborations!

Offices

Järntorget 8
413 04 Göteborg