AI ready model guide

Start your AI journey the right way

Learn the five-step process that helps you avoid costly mistakes, choose the right use cases, and build a solid foundation for AI success.
Build the capabilities your organisation needs
for AI

Discover the four core capabilities (Competency Center, Technology, Security & Data Protection, Business Development) that ensure long-term value, not just one-off pilots.
Make informed and safe AI investments

Get clarity on data protection, regulations, infrastructure choices, and how to select the right AI models without risking security, privacy, or compliance.

Volkswagen Group Sweden
AI-driven customer journey

Volkswagen Group Sweden collaborated with Redpill Linpro to explore how AI could strengthen their digital customer journey. By analysing interactions and identifying friction points, they were able to optimise processes and create more personalised experiences.

Mapped and improved key customer touchpoints.
Used AI-driven insights to streamline digital interactions.
Enabled smarter, more data-driven decision-making across teams.

GlobalConnect
Increased sales through AI

GlobalConnect partnered with Redpill Linpro to improve sales efficiency using AI-powered forecasting and customer insights. The initiative helped the organisation prioritise the right opportunities and work more strategically with data.

Applied AI to predict customer needs and behaviours.
Highlighted high-value sales opportunities.
Strengthened internal AI readiness and decision-making.

Smart & Safe
Secure and scalable AI for sensitive data

Smart & Safe worked with Redpill Linpro to build a secure, GDPR-compliant AI environment capable of handling sensitive information. The solution allowed them to explore AI use cases safely while maintaining strict data protection standards.

Ensured secure data handling and controlled infrastructure.
Enabled safe experimentation with AI models.
Supported responsible and scalable AI adoption.

Can you use AI to write software/program code?

Yes. There are already a number of AI tools available on the market for this, and we have tested several of them. AI tools can currently be used to reduce development times and generate suggestions for good code, but you still need to quality-assure their output to ensure well-performing and secure code. However, initial tests already show that it is possible today to reduce development times by at least 50% using the tools available.

How do I use AI in daily operations/work?

AI is already in use and supports a number of daily operational use cases. It can be used to help you draft business letters, proposals, or other types of communication. AI can create entire webpages, analyse large amounts of data for you, and make decisions based on that data. Through publicly available services and language models, you can ask almost anything and receive plausible answers. However, you still cannot fully trust AI engines. Their answers rely on how they have been trained, and AI also tends to try to please the user, sometimes giving answers that may not be 100% accurate but rather guesses or based on what the engine believes you want to hear.

How do I use AI to analyze data?

This is currently one of the most common AI use cases in businesses. There are already several AI/ML tools available to help you structure and analyze data, enabling you to make more informed business decisions based on real-world information.

What risks are there with AI today?

There are several risks with AI today. You don’t really know how the tools have been trained, how their responses are influenced, or where your data ends up if you share it with a publicly available service. This is why you should be careful when using AI today and not trust it fully. However, it can still be a great tool and assistant in your daily work when used in the right way and with its challenges in mind.

How can I use AI if I don't want to risk sharing my data with the whole Internet?

Don’t worry - there are different solutions available for those who want to use AI without sharing their data. There are both regional, cloud-based solutions (GDPR compliant) and on-prem solutions available for organisations that handle sensitive data.

I have heard that AI models consumes a lot of computing power. How can I utilise AI without having to invest millions in new HW?

There are various solutions to this. You can make agreements with cloud providers to access the computing power you need, only when you need it. Regional cloud providers can give you the required capacity while keeping your data relatively safe through agreements and security features.