AI is already part of HR, from recruitment and employee data to pay transparency.
The question is therefore no longer whether you should use AI. It is how you do it right and how it is anchored in your HR platform and data.
AI does not create value on its own
According to an analysis by Gartner, 45% of leaders find that AI meets their expectations in terms of improving the work of their teams.
This also means that more than half have yet to experience the full effect.
This points to the fact that AI does not automatically create value. It requires structure, direction, and a clear understanding of how the technology is used in practice.
Freed-up time requires direction
An important point from Gartner is that many organizations are already saving time with AI, but often in small, fragmented chunks.
And this raises the next question: What should that time be used for?
Only 7% of organizations currently have clear guidelines for how time freed up by AI should be utilized. This means that the potential is often not realized. It is not just about saving time, but about using that time better.
AI must be part of the foundation – not an extra tool
One of the biggest challenges today is that AI is often used as a separate tool alongside existing systems.
But that is rarely where the value is created.
It is created when AI works directly on your existing HR data – as an integrated part of the platform.
That is also how we work at Mindkey.
How we work with AI at Mindkey
At Mindkey, AI is not an add-on or an experiment on the side. It is an integrated part of the HR platform, where AI is used to support structure, decisions, and documentation – based on the organization's own data.
This means:
- AI is based on your existing HR data – not generic models
- AI supports compliance and documentation – not just analysis
- AI acts as decision support – not automated decision-making
This provides a different starting point. Because AI does not become something extra, but a natural part of what you are already doing.
From efficiency to better decisions
For many, AI starts with efficiency. But the greatest value emerges when AI is used to create a better foundation for decision-making.
When data is connected, AI can help to:
- Identify patterns, highlight anomalies, and uncover insights that are otherwise difficult to spot.
This applies, for example, to work with pay transparency, where structure and data are essential for explaining and documenting differences.
Governance and trust are becoming essential.
With the EU AI Act, responsible use, transparency, and documentation are becoming key requirements. This sets expectations for both HR and the solutions you choose.
HR must be able to explain:
- What data is used, how it is used, and why it is necessary.
That is why we at Mindkey work with:
- Transparency in data and analytics, clear structures, and solutions that support documentation.
So you can use AI with peace of mind.
Free up time with purpose.
AI offers a real opportunity to free up time in HR. But the value only emerges when:
- Data is connected, systems work together, and AI is used with a clear and responsible direction.
It is not about automating as much as possible. It is about creating a better overview, better decisions, and more time for what matters.
Want to hear more?
We are already working with AI as an integrated part of the HR platform in Mindkey.
If you would like to see how it works in practice, we invite you to a networking meeting in Copenhagen on May 20th, where we will share concrete examples and experiences.
