Connect your operational reports
Start with historical open-work snapshots. Add analyst transactions and quality data if you have them — NaraOps will use them to deepen the analysis.
Open-work snapshots
Multiple CSV exports of the same open population over time.
Analyst transactions
Activity or transaction rows linked to a case/work-item ID.
Quality results
Reviews, pass/fail outcomes or errors linked to case ID.
Source mapping
NaraOps suggests how your columns map to its internal model. Check the required fields, then build the workspace.
| NaraOps field | Your column | Used for |
|---|
Beta file guidance
Include the report date as YYYY-MM-DD, e.g. Open_Work_2026-09-11.csv.
This beta accepts CSV. Excel support is the next ingestion upgrade; exporting a sheet as CSV keeps the analysis local and reliable.
The raw files remain in this browser session/device. Only your account and entitlement call the server.
What needs your attention
Build a workspace first.
What's going well
What isn't going well
Top risks
Prioritised by deterioration, ageing, SLA exposure and any supporting activity/quality evidence.
If you only do three things
Ask NaraOps
The AI receives a verified analytical summary — not your raw files.
Understand what is driving performance
Change the timeframe or focus on a client/team/work type. Every report recalculates from the local workspace.
Backlog & ageing trend
Work in vs work cleared
Ageing composition
Movement by driver
Selected evidence
Turn insight into action
This beta keeps actions locally on this device. Use them to capture what you decided to do and compare the next period.