AI & automation
Less chasing.
Clearer decisions.
The useful test of automation is what happens next: the task reaches an owner, a missing input becomes visible, or a calculation is ready for review.
Book a workflow demoStart with one real scenario.
The examples here cover Statura’s rule-based workflows. Confirm any generative AI capability separately in your proposal, including its review process and data handling.
The operating workflow
See what moves forward.
Know who makes the decision.
These examples describe records and workflow steps to inspect in a demonstration. Confirm availability and configuration for your organisation.
Incident follow-up
In Statura
Track recorded awareness, priority and deadlines alongside the incident record.
With your team
Assess reportability, confirm priority and complete the required external notification.
Clinical review
In Statura
Present observation trends, assessment records and wound history for review.
With your team
Interpret findings, decide the clinical response and follow up the person’s care.
Contribution calculation
In Statura
Calculate using recorded service and participant inputs; reject missing assessed rates for sliding-scale tiers.
With your team
Maintain assessment evidence and verify rates, delivery-date rules and configured caps.
Payroll preparation
In Statura
Bring time completion, calculation, worker matching, provider handoff and reconciliation into distinct stages.
With your team
Review the pay run, resolve differences and complete posting in the payroll provider.
Evaluating AI
A promising demonstration needs a useful exception.
Try a missing assessment rate, an incomplete incident or a changed timesheet. Ask what stops, who is told and how the record is corrected. A smooth happy path shows only part of the workflow.
For AI-assisted drafting or analysis, also inspect the source material, review step and data handling.
Record the evidence in your evaluation workbookQuestions about AI and automation.
Is workflow automation the same as generative AI?
No. A calculation, deadline or status transition can follow defined rules without a generative model. Inspect the inputs, rule and review step for the workflow you are evaluating.
Which capabilities are available for our organisation?
Availability depends on your selected modules, configuration, permissions and release scope. Confirm the demonstrated capabilities and pricing in your proposal, and agree the scope of any future feature when it becomes available.
Does an alert mean someone has acted?
A displayed flag, a sent notification and a completed response are different events. Agree who monitors each workflow, how receipt and action are checked, and the fallback for urgent concerns.
How should we review AI data handling?
For any proposed AI feature, ask which records it receives, where processing happens, what is retained, whether training use is permitted and who can access the output. Confirm the feature-specific terms and controls before adopting it.
Scope the software around your team.
Evaluate this workflow on its own or as part of the wider operating record. Your proposal confirms modules, integrations, migration, training and fees. Keep the evidence your clinical, finance and IT reviewers need in the same buying decision.
Bring us the work you want to simplify.
Choose one workflow. We’ll follow its records, decisions and handovers with your team.