AI Return on Investment - OpsBeacon

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:

Token spend as the cost input
Task volume and completion rate as the output metrics
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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