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AI & smart workflows / 04Yellion / Karlstad

AI when it solves the right problem.

We help companies find, test and build AI solutions that create real value — in digital products, existing systems and workflows. Sometimes AI is the right tool. Sometimes there is a simpler solution.

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Starting point

Start with the question, not the model.

A good AI use case has a clear problem, relevant information and an outcome that can be assessed. We help you find out whether the idea holds up before it becomes a major implementation.

01

We see opportunities but lack a clear use case

AI feels relevant, but it is unclear where it would create the most value. We map processes, information and risks, then prioritise something concrete to test.

02

Manual knowledge work takes too much time

Documents need to be read, information classified or answers found again and again. AI can help when the task requires interpretation — with human oversight where needed.

03

An existing product could do more

Search, summarisation, recommendations or an AI assistant can simplify the user’s work when the feature is built into the right context.

What the service includes

From uncertain opportunity to useful solution.

AI development is product and system development with additional opportunities and uncertainties. We can help with the whole journey or a defined part of it.

01

Evaluation & prototyping

We assess value, data, feasibility, cost and risk, and build a focused proof of concept when that is the best way to find answers.

02

AI features & assistants

We build intelligent search, question answering over your own information, summarisation and other AI features into existing or new digital products.

03

AI agents & workflows

An AI agent can retrieve and analyse information and perform defined actions through tools and APIs. We build with clear mandates, checkpoints and traceability.

04

Document & information flows

Language models can read, classify and structure information from documents, forms or email before integrations pass it on to the right system.

In practice

AI solutions with a clear job to do.

Typical engagement / 01

The knowledge exists, but is difficult to find.

Documentation is scattered across several sources. Intelligent search lets users ask questions in natural language and receive relevant answers grounded in the company’s own information.

Typical engagement / 02

Information needs interpretation before the next step.

Content from email, forms or documents is read and structured with AI. Rules and integrations then move the information to the right place, with review for uncertain cases.

Typical engagement / 03

An existing product gains a helpful feature.

An AI assistant, summary or recommendation is built into the product’s normal flow and evaluated by whether it genuinely makes the user’s job easier.

How we work

Explore. Build. Improve.

AI requires the same product discipline as other software — plus continuous evaluation of quality, cost and behaviour. Exploration may also conclude that conventional automation is the better choice.

  1. 1

    Explore

    We understand the process, users, information and constraints. Then we choose AI, conventional software or a combination based on what creates the most value.

  2. 2

    Build

    We move from prototype to a working AI integration in real products, systems and data flows — not an isolated demo on the side.

  3. 3

    Improve

    We monitor quality, usability, cost and actual impact, then improve models, prompts, data flows, tools and the experience.

Technology when it adds value

Production-ready takes more than an API call.

We work with evaluation, information security, data protection, cost and control over what the solution may do. RAG, embeddings, structured outputs and tool calling are used where they make the solution more robust — with human oversight when needed.

  • LLMs & language models
  • RAG
  • Vector search
  • Structured outputs
  • Tool calling
  • Model evaluation

Related services

Integrations

Give the AI solution access to the right information and secure paths into existing systems.

Digital product development

Build AI into a considered product that people actually use.

System development

Develop the web-based business solution where the AI features will work.

Next step

Have something
in mind?

Have you identified a process that should be smarter — or just a sense that AI could help? We can start by finding out whether the idea is worth building.

hej@yellion.se

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