AI for Geospatial
We are developing a new training programme to help geospatial teams understand where AI can add value, where its limitations matter and how to approach adoption with stronger technical judgement.
For
Organisations
Stage
Co-development
Delivery
2027
Current focus
Pilot organisations
Training focus
AI + geospatial workflows
AI capability for geospatial teams
The important questions are not simply which AI tools exist, but where they are useful, what their limitations are and how they connect to the work teams already do.
Build a clearer understanding of where AI approaches can support geospatial work and where conventional methods may still be the better choice.
Develop the literacy needed to question outputs, recognise limitations and evaluate AI-enabled workflows rather than treating them as black boxes.
Translate AI concepts into practical geospatial use cases grounded in the datasets, roles and decisions that organisations already work with.
Pilot organisations
During Q3 and Q4 2026, we are speaking with organisations interested in building AI capability across geospatial teams. These conversations will help us validate learning needs, practical use cases and delivery priorities ahead of training in 2027.
Tell us where AI is already appearing in your team's geospatial work and what remains unclear.
Help identify the workflows, decisions and skills where practical training would create the most value.
Discuss whether an early organisational cohort or tailored pilot could support your team.
Join the organisational waitlist ahead of the wider AI for Geospatial training launch in 2027.
AI for Geospatial
We would like to hear what your team is trying to solve. Join the pilot conversation and help shape a training programme grounded in real organisational needs.
Subscribe to our monthly geospatial skill signal – with practical tools, workflows, and insights.
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