Keep the work connected.
The useful part is what happens after a report shows you a problem. These are the steps we are building around.
Find and understand
Search for the visual you need. Check its definition and open the help while you work. Put the finding alongside the school’s context.
Decide and act
Agree the next step. Give it an owner and a review date. Keep the original evidence visible so the context is not lost.
Evidence and review
Keep notes and supporting files with the work. Review what changed and carry that learning into the next decision.
An action with its context attached.
This demonstration shows a monitoring-visit action. The panel brings together the task, its owner, its due date and the meeting item it came from.
- The action says what needs to happen: agree a new visit date.
- The owner and due date are visible beside the task.
- The source is explicit: Northfield hub minutes, item 4.2.
Useful AI starts with governed results.
Generative AI helps people find, understand and communicate. The calculations come from named, versioned functions in a curated education Logic Library. The model does not invent its own measures.
Keep the source visible. Show the definition and governed result behind the explanation.
Keep people in the decision. A person chooses the action and reviews the output.
Make the output useful. Bring the report template your team uses. We can show which outputs fit and where configuration is needed.
Show the actual workflow. A guided tour can work through search, integrated help, action and evidence using demonstration data.
People, process and culture.
Software can make a routine easier to run. People still need shared understanding, clear ownership and time to act.
Bring a school improvement scenario.
Tell us what your team is trying to do and we’ll arrange a walkthrough using demonstration data.
Keep in touch
If you’re not ready for a tour, you can still hear about what we’re building and where we’ll be.