Kundcase
AI chatbot for geothermal permit applications
We built an AI chatbot for Herrljunga municipality that guides citizens through geothermal permit applications via chat, interactive maps, and automated geographic validation.
Solutions
Software, automation and AI — built into your business
We build AI that is part of the product logic, automation that removes manual stops, and software your team can keep building on. From architecture to live in production — no handoffs mid-project, no transfer to someone else in the final week.
Software development
We build software that solves real business problems
We develop applications that solve real problems for employees, customers and internal teams. That can mean an internal portal that removes manual work, a customer portal that improves self-service or a tool that makes data and workflows easier to manage.
We choose technology that makes the solution fast in production, easy to evolve and possible to integrate with the systems you already use.
Examples of solutions we build:
- • E-commerce and customer flows that convert better
- • Customer portals that reduce support pressure
- • Internal tools that remove administrative hassle
- • Mobile apps that simplify usage and follow-up
- • Integrations that make your systems talk to each other
Priorities
We help you prioritize the right initiatives
Not every idea needs to be built at once. We help you choose the initiatives that create the most impact based on processes, bottlenecks and business goals.
- Software development that removes friction. We build the internal tool that cuts three manual steps out of your daily workflow, the customer portal that reduces support load, and the platform that your team can actually keep building on. Concrete problems, concrete solutions.
- Automation that saves time and money. We help you automate repetitive tasks and inefficient processes. The result? Your employees can focus on what really creates value while the systems take care of the rest.
- AI in the product flow. Models and agents directly in the product logic — document analysis, case handling, multi-step decisions. We start with what your product needs and work backward, not from an AI recipe. Impact measured in lead time, response quality, or share of manual work.
How we work
From needs to solution in short steps
We start by understanding your goals, dependencies and biggest bottlenecks. Then we define a first step that can be introduced without creating unnecessary disruption in day-to-day operations.
The work happens in short delivery cycles with clear priorities and regular checkpoints. You continuously see what is being built, which decisions need to be made and what outcome we are aiming for next.
Risk and precision
How we reduce project risk
The focus is on transparency, scope control and continuous validation. You should quickly be able to see what works, what needs adjusting and what the right next step is.
- We deliver quickly and concretely. We break the work into smaller parts with a clear delivery order. That makes it easier to follow up on impact and decide what the next step should be.
- We think business-wise, not just technically. Every technical choice is tied to a concrete outcome, such as shorter lead times, fewer manual steps or better data quality.
- Handover and ownership are planned early. We document the solution, set up follow-up and define ownership early so you can manage and continue developing it with confidence.
Tidigare projekt
Vi arbetar med företag i olika branscher. Läs om tidigare projekt och vilka resultat lösningarna gav i praktiken.
FAQ
Frequently asked questions from our customers
Common questions about how we prioritize, build and introduce solutions that create real operational impact.
What does custom software development mean?
It means we build for your specific workflow, not around a template. The result is a system that fits how your team actually works — with architecture that your developers can understand, extend, and maintain without calling us for every change.
What does it cost not to digitize?
Manual processes have a real cost: time spent on copy-paste between systems, errors that require rework, and workflows that break down when volume increases. The question isn't whether to automate — it's which process to start with and what a realistic result looks like.
What is digital transformation and why is it important?
It's what happens when you stop treating individual process improvements as isolated projects and start building toward a coherent system. That usually means better data quality, clearer ownership, and a roadmap — not just a series of one-off fixes.
What happens if our needs change during the project?
We deliver in short cycles specifically because requirements shift. Each sprint produces something you can evaluate and redirect. We plan for change from the start — the architecture should make it easier to adapt, not harder.
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