What if a financial analysis did not have to be limited to the people who happen to be physically present in the room?
Data2Space opens the possibility of creating spatial environments in which real participants and AI-generated virtual participants can interact. A meeting can therefore combine human expertise, remote colleagues and artificial intelligence within the same three-dimensional environment.
The idea goes beyond simply adding an AI chatbot to a financial application. An AI participant can become part of the spatial experience: present in the virtual room, associated with a particular role or perspective and available to contribute to the discussion.
A Data2Space session could, for example, include:
- human analysts examining a corporate structure,
- colleagues participating remotely through headsets,
- an AI participant analysing relationships or financial information,
- virtual specialists representing different analytical perspectives,
- and AI-generated participants prepared to answer questions or challenge assumptions.
This creates an interesting new form of collaboration. The AI does not necessarily replace the human analyst. Instead, it can become another participant in the analytical process.
| Participant | Possible contribution |
|---|---|
| Financial analyst | Interpretation and professional judgement |
| Investment manager | Investment perspective and decision criteria |
| Remote colleague | Independent assessment from another location |
| AI analyst | Rapid examination of large amounts of information |
| AI risk specialist | Identification of dependencies and potential risks |
| AI scenario specialist | Exploration of alternative developments |
The spatial dimension adds an important element.
An AI participant can be associated with a particular position, model or area of the virtual environment. Instead of asking an AI system to describe a complex structure entirely through text, users can discuss the structure while looking at it together.
Imagine a group analysing a multinational company. Human participants examine the ownership structure while an AI participant is asked to identify unusual dependencies. Another virtual participant could focus on financial risks, while a third examines possible scenarios.
The participants can then challenge one another.
“Why is this subsidiary important?”
“What happens if this ownership relationship changes?”
“Which financial figures support that conclusion?”
“Which assumptions are responsible for this scenario?”
The answers can be discussed directly in relation to the spatial model.
This could also change how AI-generated virtual experts are used. Rather than creating one universal AI assistant, organisations could develop several specialised virtual participants, each with a defined analytical role. One might be designed to focus on corporate structures, another on financial statements, another on ESG information and another on risk.
The user would then be able to decide which perspectives should be present in a particular session.
There is a deeper implication here. A virtual environment can accommodate participants who do not exist physically. Their presence is created digitally, but their contribution can still be integrated into the same workflow as that of human participants.
Data2Space therefore points towards a future in which the “meeting room” is no longer defined by the number of chairs around a physical table.
It can become an analytical space containing people, information, models and artificial participants — all interacting within the same environment.
The important question is not whether an AI participant looks perfectly human. The real question is whether it can contribute useful knowledge at the moment when that knowledge is needed.
Human intelligence provides judgement. AI can provide additional analytical capacity. Data2Space can provide the space in which both can interact.
That combination could turn immersive finance from a new way of viewing information into a new way of conducting financial analysis itself.