> ## Documentation Index
> Fetch the complete documentation index at: https://docs.opsbeacon.co/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Return on Investment

> Measure whether your AI spend is delivering business value.

## What it shows

AI ROI analysis compares your AI token spend against measurable outcomes — task completion rates, throughput, error rates, and time saved — where that data is available.

```
@Beacon show me AI ROI for Q3
@Beacon is the summarization project worth what we're spending on it?
```

## How ROI is calculated

ROI requires a baseline — what the work cost before AI, and what it costs now. OpsBeacon uses:

1. **Token spend** as the cost input
2. **Task volume** and **completion rate** as the output metrics
3. **Estimated time savings** based on task type benchmarks

For a more precise ROI calculation, you can provide your own baseline figures:

```
@Beacon set baseline for data-extraction project: 2 hours manual work per 100 records
```

## Limitations

AI ROI is directional, not precise. OpsBeacon doesn't have access to your application code or user behavior data. The analysis is based on token-level signals and your configured baselines.


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