> For the complete documentation index, see [llms.txt](https://docs.onelens.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.onelens.cloud/automate/workflows-and-automation/usecases/ai-reports-and-alerts.md).

# AI Reports & Alerts

> Automate governance, reporting, and cost management across your AI stack.

AI Use Cases brings automation to AI cost governance by connecting OneLens with your existing workflows, collaboration tools, and ITSM platforms. Instead of manually monitoring dashboards, automatically notify teams, generate reports, and trigger actions when important events occur.

***

### Why AI Use Cases?

Managing AI costs manually doesn't scale.

Teams often spend hours:

* Reviewing dashboards
* Investigating cost spikes
* Creating weekly reports
* Tracking budget utilization
* Following up on optimization opportunities
* Notifying stakeholders

AI Use Cases automates these repetitive tasks so teams can focus on taking action instead of collecting information.

***

## AI Summary Reports

Automatically generate executive-friendly summaries of your AI spending.

Reports can include:

* Overall AI spend
* Cost trends
* Top cost drivers
* Budget utilization
* Provider comparison
* Model adoption
* Optimization opportunities
* Key anomalies

Reports can be scheduled daily, weekly, or monthly.

***

## AI Cost Change Reports

Understand exactly what changed between reporting periods.

Automatically identify:

* Spend increases
* Spend reductions
* New workloads
* Top contributing models
* Team-wise cost changes
* Provider-wise cost changes

Instead of comparing reports manually, receive an AI-generated explanation of significant cost movements.

***

## AI-Generated Root Cause Analysis

Every detected anomaly includes a natural language explanation of what happened.

AI summarizes:

* What changed
* When it happened
* Which model or workload contributed
* Estimated financial impact
* Suggested investigation path

This reduces investigation time and helps teams understand issues without manually analyzing charts.

***

## Workflow Automation

Trigger automated workflows when important AI cost events occur.

Common workflow triggers include:

* New anomaly detected
* Budget threshold exceeded
* Monthly report generated
* High-cost model detected
* Optimization opportunity identified

Workflows help ensure that the right teams are notified without manual intervention.

***

## Notifications

Send updates through the tools your teams already use.

Supported channels include:

* Email
* Slack
* Microsoft Teams
* ServiceNow

Notifications can be configured for:

* Budget alerts
* Cost anomalies
* AI summary reports
* Cost change reports
* Optimization recommendations

***

## Executive Reporting

Provide leadership with concise AI cost summaries without requiring access to dashboards.

Common executive reports include:

* Weekly AI Spend Summary
* Monthly Cost Review
* Budget Health Report
* Optimization Summary
* Provider Comparison
* Team-wise AI Spend

Reports are designed for finance, engineering leadership, and executives.

***

## Example Use Cases

#### Weekly Engineering Summary

Every Monday, engineering managers receive a summary of:

* AI spend by team
* Top models
* New anomalies
* Optimization opportunities

***

#### Finance Budget Review

Finance receives a monthly report showing:

* Budget utilization
* Forecasted spend
* Provider-wise costs
* Department-wise AI spending

***

#### Incident Notification

When an AI cost anomaly is detected, OneLens automatically:

* Creates an incident
* Notifies the owning team
* Includes a root cause summary
* Links directly to the affected report

***

#### Leadership Updates

Automatically generate monthly summaries highlighting:

* Total AI spend
* Cost growth
* Savings achieved
* Budget status
* Key optimization initiatives

***

### Benefits

* Reduce manual reporting effort.
* Keep stakeholders informed automatically.
* Accelerate anomaly investigations.
* Improve visibility across engineering and finance.
* Standardize AI cost reporting across the organization.

***

### Best Practices

* Schedule executive summaries on a weekly or monthly cadence.
* Send anomaly notifications only to the teams responsible for the affected workloads.
* Automate recurring reports instead of generating them manually.
* Include optimization insights alongside cost summaries to encourage continuous improvement.
* Use workflows to integrate AI cost governance into existing operational processes.


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