Operations automation

Automate KPI Dashboard Updates

Your KPI dashboard stays current without anyone pulling data. AI collects metrics from all your tools, spots anomalies, and alerts leadership.

Time savings

Task	Manual	Automated
Data collection from multiple tools	1-2 hours/update	5 min/update
Metric calculation and formatting	30 min/update	Instant
Anomaly detection and alerting	20 min/review	Automatic
Stakeholder distribution	15 min/update	Automatic

Pull latest data
Automated

Agent connects to your data sources (CRM, analytics, accounting, HR) and pulls the latest figures.
Calculate KPIs
Automated

Compute metrics: revenue, pipeline, customer count, churn rate, average deal size, and custom KPIs.
Update dashboard
Automated

Refresh the dashboard with current numbers, trend arrows, and period-over-period comparisons.
Detect anomalies
Automated

Flag metrics that deviate significantly from targets or historical trends.
Distribute and discuss
Human

Send the updated dashboard to leadership and flag items requiring attention. Leadership reviews in the weekly meeting.

Automatically collect data from CRM, analytics, accounting, HR, and other business tools.

Revenue growth, customer acquisition cost, churn rate, NPS, and custom KPIs calculated in real time.

Compare current performance against monthly and quarterly targets with visual progress indicators.

Get notified via Slack when a KPI deviates significantly from its target or historical trend.

Daily, weekly, or real-time dashboard refreshes based on how frequently your data changes.

Different dashboard views for CEO, sales director, ops manager, and finance head.

What data sources can it pull from?

HubSpot, Salesforce, Google Analytics, Xero, QuickBooks, Google Sheets, SQL databases, and any platform with an API or data export.

How often is the dashboard updated?

Configurable: real-time, hourly, daily, or weekly. Most businesses use daily updates with weekly leadership summaries.

Can different teams see different dashboards?

Yes. Configure role-based views: sales sees pipeline and revenue, finance sees cash flow and margins, HR sees headcount and turnover.

How does anomaly detection work?

The agent compares each metric against its rolling average and target. Deviations beyond a configurable threshold trigger Slack alerts with context.

Set up automated KPI dashboards for your leadership team.