Helping you implement machine learning and AI in your products

We are a small consultancy with long experience of implementing machine learning and artificial intelligence from idea to product.

We are here to help you maximize your business value using AI. On your terms.

How to measure ROI in AI Projects

Are you uncertain whether adopting AI- and machine learning will provide actual value to your business? You are in good company. Despite the hype, most businesses do not yet reap return on investment (ROI) on AI initiatives.

Then, how do you know when AI- and machine learning projects are actually providing value and are not only a result of following the hype? Short answer, it isn't just about money. Successful companies evaluate different types of ROI:

  • Financial ROI focuses on cost savings and revenue growth,

  • operational ROI on efficiency gains through automation and enhanced processes,

  • and strategic ROI on long-term benefits like competitive advantage and innovation.

However, quantifying these benefits can be challenging due to the complex nature of AI technologies. In this article, we’ll explore how to set clear objectives, identify key metrics, and overcome common challenges to effectively measure the ROI of your AI and machine learning projects.

Benefits of working with experienced consultants

Get your products to market quicker by focusing on what is essential and avoid common pitfalls.

Quicker launch

Avoid getting lost in the jungle of AI tools and save money by only using what you actually need to deliver value.

Lower development cost

Stand out in the market with unique AI solutions that keep you ahead of competitors.

Competitive edge

What we offer

AI Development

IP & Data Strategy

Training & Workshops

Data Science & Machine Learning

Computer Vision

Large Language Models (LLMs)

Strategic Advisory

Roadmapping

Research

Innovating New Methods

Converting Science to Business

Landscaping

Services

We help our customers during all phases of AI development

Idea generation

We collaborate with stakeholders to identify potential AI applications and problem statements within the domain of interest as well as outlining potential IP.

Feasibility assessment

We help you evaluate the technical and business viability of the proposed AI solution, considering factors such as data availability, infrastructure requirements, and potential impact.

Data collection and preparation

We find the best strategy to gather relevant datasets, ensure data quality, accuracy, and proper annotation and how to preprocess and transform the data to make it suitable for AI model development.

Model development

We design and train AI models using appropriate machine learning or deep learning algorithms, leveraging the collected and prepared data and continuously refine and optimize the models to improve performance.

Validation and testing

We evaluate the trained models using validation datasets, measuring their accuracy, precision, recall, and other performance metrics and conduct rigorous testing to identify and address potential issues or biases.

Deployment and integration

We deploy your models on our infrastructure or integrate the AI models into your infrastructure or software systems, ensuring compatibility and scalability.

Meet the Team

  • Rickard Sjögren, PhD

    FOUNDER & AI CONSULTANT

  • Alexander Sutherland

    AI CONSULTANT

  • Elsa Sörman Paulsson

    AI CONSULTANT

  • Emma Sjögren

    FINANCE & ADMIN

Get in Touch

Let's discuss how our AI expertise can benefit your business. Complete the form and we'll connect soon.