02 / Applied AI workflows
When information is scattered across documents, spatial data, and tools, a focused AI workflow can help. We start with one task, define a useful output, and build a pilot your team can evaluate.
Discuss a workflow pilot →Research & documents
Scope a workflow that retrieves relevant material, organises findings, and prepares a draft with references for a person to check.
Useful starting points include recurring technical briefs, document comparison, and evidence gathering.
Geospatial & scientific work
Identify repeatable steps in QGIS or a related analysis workflow, define quality checks, and explore how automation and AI can support the handover.
Keep calculations, spatial processing, and interpretation responsibilities explicit.
A concrete example
Angello has prototyped a multi-agent reporting workflow that turns screening outputs and reviewed evidence into traceable draft feasibility reports.
This is a prototype example of the approach. It is not presented as a deployed enterprise reporting service.
How a pilot works
Agree on the decision, useful output, and how to judge the result.
Identify relevant documents, data, spatial layers, and information gaps.
Develop a focused workflow and check it against representative examples.
Inspect the outputs together, document limitations, and agree on the next step.
Integrations, hosting, support, and production requirements are defined in the project scope.
Domain judgement stays involved
Experience in QGIS-based AI task creation and evaluation informs our approach: check spatial reasoning, instruction adherence, unsupported assumptions, and the usefulness of the final output.
Start with one useful question
Tell us what you are trying to decide, what information you have, and where the work gets stuck.
Let’s talk about your project