SignalWeave
A shared picture.
A traceable source.
Operational support reports can arrive late, disagree or change. SignalWeave explores how to bring them together while preserving the evidence behind every update.
Explore the approachThe problem
More reports do not always
mean more clarity.
Different sources may describe the same equipment, service or supply need. A correction may arrive after a conflicting report. A concise summary can hide the detail a receiving coordinator needs to check.
SignalWeave is being developed around defence support-coordination scenarios, including equipment condition, service continuity and non-patient supplies.
How the prototype works
Keep the evidence
in the picture.
A guided explanation of the reporting workflow.
Demonstrations use synthetic data.
- 1
Preserve the source
Keep the original observation and its context when a report enters the system.
- 2
Reconcile the picture
Use observation times and explicit corrections. Leave unresolved contradictions visible.
- 3
Review the interpretation
Optional AI assistance can propose a briefing or priority with references to source reports.
- 4
Keep the person in control
A person checks the evidence. AI suggestions cannot approve or release a report.
From the working prototype
Inspect the reports
behind the view.
The reconciled-picture interface groups reports by subject and exposes the available source evidence.
This captured interface comes from a synthetic reporting exercise on the earlier 0.6 prototype. It illustrates that version’s reporting view; it does not show the newer AI adviser.
View full interface image
Built to be evaluated.
SignalWeave remains in development. Current demonstrations do not establish field-radio performance, general AI accuracy or operational CAF acceptance.
The next work concerns integration, testing in representative conditions and evaluation of whether AI assistance improves the receiving workflow.
Interested in the project?
Discuss evaluation, the reporting problem or a possible collaboration.