Why ResourceSpace is your secret weapon for the AI-driven DAM era

30th January 2026

Artificial intelligence and Large Language Models (LLMs) have developed faster than perhaps any previous computer technology. This pace of change means few DAM Managers are fully up to speed with how they can work in a Digital Asset Management context, and this can lead to uncertainty over how to get the most out of them as well as trust issues.

However, when used in the right way, a DAM like ResourceSpace—enhanced with powerful AI functionality—can revolutionise your asset workflows and supercharge efficiency.

The AI DAM era is already here

AI is no longer a future concept in Digital Asset Management, and it’s already shaping how organisations create, manage and find content. 

AI has quickly become an established part of everyday DAM conversations, from automated tagging to smarter search to content analysis.

For many teams there is pressure to keep up with this rapidly developing technology, but there are also understandable concerns about complexity, control and trust. The reality is that AI in DAM doesn’t need to be overwhelming, and when applied thoughtfully, it simply removes friction from DAM processes and helps teams work faster and more effectively.

AI shouldn’t be implemented to replace people or reinvent how teams work, but to give DAM Managers and content teams practical tools that support good governance, better discovery and more efficient workflows.

AI raises the stakes for modern DAM systems

AI promises a lot for Digital Asset Management, but that doesn’t mean there aren’t risks too. When you increase the amount of automation within your DAM processes the risk of inconsistencies rises too.

User control and human review is more important than ever

AI should improve the state of your DAM system, with AI search and automated tagging enhancing the categorisation and searchability of assets. However, you shouldn’t rely on this completely.

AI will interpret an asset and tag it with appropriate metadata, and the process is similar when it’s searching for images that match your query. This functionality is getting more accurate all of the time, but just like a human, it’s not perfect. Metadata review by a DAM Administrator is as important as ever with AI generated content, and there will usually be organisation-specific information that still needs to be added manually. 

READ MORE: The ethical implications of AI and how organisations can use it responsibly

ResourceSpace’s approach to AI

Let's take a closer look at some of the core principles that govern our approach to AI technology in ResourceSpace

• Saving you time
• Ethical implementation of AI technology
• Functionality that is freely available to all our customers

Saving you time

Automated metadata tagging can save DAM Managers hours of time, but without oversight this automated tagging could cause more harm than good. However, with ResourceSpace, you’re in control. 

READ MORE: AI prompt engineering in ResourceSpace

You can write custom prompts to ensure the GPT integration works for you, instructing it to handle complex instructions specific to your organisation. Of course, metadata keywords, captions and descriptions are a part of this, but more sophisticated outputs are also possible, for example alt text, translations, emotions exhibited in an image and more.

Ethical implementation of AI technology

We’re firm believers in delivering our services responsibly, and this is no different when it comes to the ethical use of AI within ResourceSpace.

We’ve integrated AI in our DAM to help our users save time and improve Digital Asset Management processes, but we think this must be in a way that respects user rights, protects privacy and avoids harm. 

This means that we don’t (and never will) use customer data for AI training and that we’re committed to clear communication about how AI is used in ResourceSpace, while we also monitor our the AI models we use for bias to minimise unfair outcomes and provide an opt-outs for features like face matching.

We also recognise the environmental concerns surrounding AI, but at Montala we’re committed to reducing the environmental impact of our technology, and there are several measures that support this commitment.

First of all, OpenAI GPT is hosted on Microsoft Azure’s carbon neutral cloud platform, while AI models hosted on our own servers are powered by 100% renewable energy.

Secondly, our use of AI is more efficient, avoiding training large AI models ourselves in favour of focusing on the integration of pre-trained models.

Functionality that is freely available to all our customers

Many of our competitors have gated their advanced AI functionality behind expensive product tiers, but our GPT integration is open to all ResourceSpace users, no matter which product tier they’re at.

This means you can leverage the benefits of AI within your DAM instance without usage limits, or worrying about increasing costs-per-user.

ResourceSpace is leading the way when it comes to the integration of AI into DAM workflows and processes. Click here to find out more about how we leverage our GPT integration to deliver improved efficiency and asset discovery. Alternatively, book your free DAM demo below to see all of our AI functionality in action.