Operations
On demand
Operational Reporting Assistant Agent
Give operational metrics context.
Turn operations data into a regular update on volumes, delays and results.
Report fulfilment performance for 12–18 October.
- Read Metric dictionary
What it does
Summarise volumes, delays and changes for the team.
Turn operations data into a regular update on volumes, delays and results. Built for operations leaders and reporting analysts.
Use agreed metric definitions
Choose the reporting period, source reports and the metrics your team uses. Process changes and late-arriving records can help explain shifts in the report.
Reconcile reporting data
Calculate the agreed measures and compare them with the previous period on the same basis.
Prepare the operations review
Get a concise operations summary with key changes and questions worth investigating.
How it works
Turn operations data into a regular update on volumes, delays and results. Built for operations leaders and reporting analysts.
- Approved documents and context
- Approved operational metric dictionary Cutoff and late-arrival handling policy Optional: a dated log of process, staffing and system changes, to identify possible reasons for changing volumes or delays. Optional: prior report snapshots and late-arrival adjustments, to reconcile restated figures and compare equivalent periods.
- Discuss results from a consistent view
- Review agreed metrics with consistent comparison periods and visible calculations, reducing manual report assembly.
- Focus attention on meaningful changes
- See the shifts and data gaps that warrant investigation so reporting leads into practical follow-up.
- Google BigQuery · Read approved reporting views (read)
- Calculate defined metrics from scoped data.
- Google Sheets · Read metric definitions (read)
- Apply formulas, periods and exclusions.
- Slack · Draft reporting review (draft)
- Prepare a reviewer-ready pack with visible limitations.
- Human review and permissions
- Metric owners resolve discrepancies; operations owner approves distribution.
01Gather the context
Bring together the relevant information from Google BigQuery, Google Sheets, Slack.
02Check what matters
Calculate the agreed measures and compare them with the previous period on the same basis.
03Prepare the result
Defined metrics, period comparison, exceptions and source commentary. Partial feeds, discrepancies and owner corrections.
04Review proposed changes
Metric owners resolve discrepancies; operations owner approves distribution.
Integrations
Analytics
Google BigQuery
Structured records
Google Sheets
Airtable
Notion databases
Team chat
Slack
Microsoft Teams
Choose the platforms your team already uses—you don’t need every example shown. Confirm the required features and configure access during implementation.
What you get
Understand operational performance with less reporting effort and clearer questions for the team to investigate.
- Discuss results from a consistent view
- Review agreed metrics with consistent comparison periods and visible calculations, reducing manual report assembly.
- Focus attention on meaningful changes
- See the shifts and data gaps that warrant investigation so reporting leads into practical follow-up.
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Start with a blueprint. Build it around your business.
We’ll adapt it to your workflows, connect your systems and build an agent your team can put to work.
30 minutes. One bottleneck. Leave with a clear system concept.