Sample dashboard screens
Even early proof should show users what changed: queues, status, confidence, source evidence, and next actions.
Useful surfaces
A dashboard should support decisions, not decorate the demo.
- Review queue
- API sync status
- Extraction evidence
- Business KPI snapshot
Screens that make AI safer
AI workflows need screens where humans can inspect source evidence, confidence, status, and what the system plans to do next.
- Approve or reject queue
- Source citation panel
- Confidence and fallback state
- Audit timeline
- Manual correction path
Screens that make operations visible
Operational dashboards should show whether APIs, documents, reports, and handoffs are moving normally. They should answer what needs attention today.
- Sync failures
- Documents waiting for review
- Report freshness
- SLA risk
- Owner for next action
Dashboard screen examples
- Review queue: Items waiting for human approval with confidence, evidence, and next action.
- API sync monitor: Recent runs, failures, retries, source systems, and owner for failed handoffs.
- Evidence view: Source snippets, extracted fields, model output, and reviewer corrections.
- Business snapshot: A compact KPI view that helps decide whether the sprint deserves expansion.
Preguntas frecuentes
- Do dashboards need to be polished in a PoC?
- They need to be clear, not fancy. The first screen should support review, status, and decision-making.
- What should an AI dashboard always show?
- Source evidence, confidence or uncertainty, human decision state, audit trail, and fallback path.
- Can a dashboard become the product?
- Yes. Many internal AI tools start as a review dashboard and then become the operational product surface.