Secure and scalable AI capabilities

Trusted AI

Build AI solutions tailored to your specific circumstances. We’ll help you develop, implement and scale AI in a way that’s both secure and useful.

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AI YOU CAN USE IN REAL-LIFE DECISIONS

What is Trusted AI?

AI offers huge opportunities, but trust is essential if we are to use the technology in our everyday lives. You need to understand how the solutions work, know that data is handled securely, and feel confident that the results can be used to inform real-world decisions.

Trusted AI is about creating the conditions for AI that works in the real world, with clear governance, high security and transparency in how models and data are used. It also means a stable technical foundation that works in production, integrates with existing systems and can be scaled as needs grow. When AI is built correctly, it does not become a side project to the business. It becomes a tool that can be used with confidence in day-to-day operations and contribute to better decisions.

Trusted AI comes into play when AI solutions are to be used, managed and scaled within the organisation.

Scale up AI without starting from scratch

Many AI initiatives get bogged down when each new use case is developed as a separate project.

Model as a Service

An intelligent gateway between your business and various AI models. It optimises quality, cost and response time, whilst giving you full control over data, logging and model selection.

Secure AI Workspace

A secure environment in which AI can be used within the organisation. The solution can be run in controlled environments and ensures that sensitive information is handled in accordance with the organisation’s policies and regulations.

Modern Data Platform

A shared data foundation for AI. The platform brings together storage, processing and AI within a single framework, enabling the development of data-driven solutions and the scaling of AI across multiple use cases.

AI-driven analysis and real-time business insights

Fedelta Customer Case Study

AI-driven analysis and real-time business insights

When the requirements imposed by the Swedish Financial Supervisory Authority became more stringent, the credit market company Fedelta needed to rethink its approach. Together with Advania, they built a modern data platform that automates reporting whilst providing entirely new insights into the business. The result is a solution that saves time, strengthens regulatory compliance and provides a better basis for decision-making.

For fair value in the business

AI that works for your business

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AI built for real-world operation

A robust AI infrastructure means that solutions can be used in production right from the start – not just in experiments.

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Full control over data and models

A secure AI environment with control over and transparency regarding how data is used, how models work and how results are generated.

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Built to scale

Thanks to its architecture and working methods, AI can grow alongside the business without having to start from scratch.

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Transparency at every stage

You can understand how AI solutions work and feel confident in the decisions they support.

START WITH THE VALUE

Which AI initiatives should you prioritise?

AI Strategy & Development helps you identify the opportunities that will have the greatest impact and turn them into effective solutions.

FAQ

Frequently asked questions about using AI in business

How do we move from an AI pilot to AI in production?

Many AI initiatives show promising results in test environments but stall before they reach the business. Moving from pilot to production requires a stable technical foundation, clear governance and the right approach to operations, security and monitoring.

How can we use AI without putting sensitive information at risk?

To use AI safely, you need to have control over how data is handled, which models are used and who has access to the information. With the right security measures, policies and technical safeguards in place, AI can be used even in organisations with high information security requirements.

How can we scale up AI to cover more areas of application?

When each AI initiative is developed in isolation, it becomes difficult to reuse data, models and working methods. By creating a common foundation for AI, it becomes easier to develop new solutions, reduce complexity and scale up its use across various parts of the organisation.

How can we gain better control over our AI models and our data?

Governance is about understanding how models work, how data is used and how results are generated. With the right governance, logging and transparency, it becomes easier to monitor usage and ensure that AI is used responsibly.

How do we build trust in AI within the organisation?

For people to be able to trust AI, the solutions must be transparent, secure and linked to clear business objectives. When roles, responsibilities and working methods are clearly defined, AI becomes a tool that can be used with greater confidence in everyday life.

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Do you have any questions?