AI services

AI services for archives, collections and document environments

For 2dA, AI is not a stand-alone hype but a practical layer on top of archive data, documents and metadata. We apply AI where it genuinely helps: to create insight faster, answer questions better, measure quality, reveal patterns and make digital collections more usable.

AI on your own dataLocal deployment where neededSecure and practical setup
AI services for archives and document environments
Why this matters

No AI for AI's sake

The value does not sit in a model by itself, but in a solution that fits the content, security requirements and user need of the organisation. That is why 2dA only develops AI services where they actually improve the work.

Under control

Secure, controllable and explainable

In archive and document environments, confidentiality, data location, permissions and governance are essential. 2dA therefore looks explicitly at local or shielded deployment, clear configuration and alignment with existing workflows.

Practical deployment

Faster retrieval, smarter analysis, targeted enrichment and archive data that becomes more useful in everyday work.

Secure by design

Local AI, private environments and control over your own data where confidentiality, governance and compliance require it.

2dA approach

AI is connected to archive knowledge, metadata, information management and real applications that truly land in daily use and long-term management.

In practice

AI only becomes valuable when data, context and use case are right

2dA looks not only at the model, but at the quality of the source data, the structure of documents, the role of metadata and the way staff or researchers will actually use the outcome.

This creates not an experimental side track, but an AI service that fits archives, collections and document environments as they function in real life.

Execution power

Connecting AI to archive practice, information management and digital access

2dA combines archival knowledge, data structure, metadata expertise and technical execution. That makes it possible not only to imagine smart AI applications, but also to configure them safely, explainably and practically within the existing information chain.

What our AI services are designed for

2dA develops and combines AI services for a range of archive questions. Think of local AI chatbots for documents and archive data, quality measurements on large digital collections, signalling patterns or anomalies, support with metadata, and faster access to complex information for staff, researchers and collection managers.

  • answering questions based on your own archive and file data
  • analysing collections faster and interpreting their content
  • strengthening metadata and improving access
  • signalling patterns, anomalies or quality issues
  • preparing information for retrieval and semantic search applications

This creates an AI layer that does not sit next to the archive but builds directly on it.

What this delivers in practice

Organisations gain faster insight into large volumes of data, less manual searching, better-founded choices and a lower threshold to truly use digital collections. Not just for innovation projects, but also for daily questions in management, service delivery, research and internal support.

  • faster consultation of files and documents
  • more control over large collections and hybrid information environments
  • better usability of metadata and digital descriptions
  • a stronger foundation for local AI and private search applications
  • clearer insight for management, policy and service teams

How 2dA sets up AI services

We start small and concrete. First we look at the question, the source data, the risks and the intended outcome. Then we determine which AI application fits, how it can be configured safely and how the result remains understandable for the people who need to work with it.

We look at issues such as:

  • which documents, metadata or datasets are available
  • how clean, consistent and usable that information already is
  • which permissions, security measures or local infrastructure are needed
  • how the result fits existing processes and systems
  • which form of control, logging or quality monitoring is required

This avoids experimental demos and results in a service that truly lands in practice.

Why this works well in archive and document environments

Archive and document environments place different demands on AI than generic office information. Structure, provenance, metadata, privacy, reproducibility and user roles play a much larger part. That is exactly why 2dA connects AI to information management rather than treating it as a detached tool.

As a result, organisations can move towards AI in a way that is safer, more targeted and more relevant to their actual information environment.

Related routes that strengthen AI deployment

Local AI chatbot

For organisations that want to let users ask questions directly within their own archive and document environment.

Go to local AI chatbot

Metadata, access and enrichment

AI becomes stronger when structure, metadata and access are already well organised. That is why metadata is not an add-on but often a precondition.

Go to metadata and access

Follow-up applications for secure and controlled use

Privacy-sensitive information

When documents contain privacy-sensitive information, AI must align with anonymisation, permissions and controlled delivery.

Go to privacy-sensitive information

Services overview

AI at 2dA is part of a broader route that also includes digitisation, archive processing, metadata, storage and digital service delivery.

Go to all services

FAQ

Frequently asked questions about AI services

Is AI mainly interesting for innovation projects?

No. In many organisations the practical value lies precisely in everyday use: answering questions faster, improving access, interpreting data and supporting daily work.

Does AI always have to run in the cloud?

No. Where confidentiality, governance or control require it, 2dA explicitly looks at local or shielded deployment.

Is good metadata important before using AI?

Yes. Clean structure, usable metadata and understandable context make AI applications far more reliable and useful.

Can AI be combined with existing archive and document systems?

Yes. 2dA looks specifically at alignment with existing systems, workflows and information structures.

Coherence

Related routes

AI services at 2dA are closely linked to other services in the same information chain.

Would you like to explore which AI service fits your organisation?

We are happy to think with you about source data, metadata, security, local infrastructure and the workflow in which the result needs to function.

Why this works

AI delivers value when it is connected to real archive practice

By linking AI to archive knowledge, metadata, structure, governance and practical use, 2dA turns AI into a workable service instead of a stand-alone experiment.

AI services as a practical layer on archive data