AI cost intelligence and analytics.
OneOrg helps you see where AI spending is going, who is driving it, and whether your usage is moving in a healthy direction, so you can steer behavior instead of reacting to surprise bills.
Get a clear picture of AI spend
The AI cost analytics page breaks down spending by model, project, and user, so you can see patterns instead of totals. Use it to answer questions like:
- Which models are being used, and which are the most expensive?
- Which projects are generating the highest AI costs?
- Which users or conversations are outliers compared with the rest of the team?
- Is spend trending up, and is it tied to more value or just noise?
The page includes time-range filters so you can look at All Time, 7 days, 30 days, or 90 days, and it supports exporting the data as CSV for internal reporting or finance review.
If you also track budgets, budget progress indicators show how much of each budget has been consumed. This connects cost visibility directly to the limits you set.
Turn insights into actions
Use the AI cost analytics when:
- A monthly bill looks higher than expected: check model mix and per-project spend to understand the cause.
- A user is flagged as a top spender: review their conversations and model choices instead of shutting them down immediately.
- A project is overperforming in cost: verify that it is still aligned with your priorities, or adjust budgets and guidance.
Set budgets at the workspace, project, or individual user level with weekly or monthly periods. Configure alert thresholds so teams get warned before they hit a hard limit. Treat budgets as steering tools: they should shape behavior, not surprise people.
If you notice cost anomalies or sudden spend spikes, check the activity log alerts for related signals like volume spikes, new models, or off-hours usage.
Decide what to change
Use AI cost intelligence to:
- Nudge users toward more efficient models for routine tasks
- Limit expensive models for exploratory or low-value conversations
- Adjust project instructions so agents ask fewer, more focused questions
- Freeze or remove access for inactive or test accounts that keep generating usage
Do not use cost visibility as a reason to forbid all AI use. The goal is better decisions, not zero risk.
Use AI cost analytics as an early warning system, not just a scoreboard. Review it regularly to spot: capabilities consuming unexpected spend, models that are overqualified for their job, and repeated prompts that should be replaced by a more constrained agent or skill. When cost is high but unclear, adjust model assignments first, then tighten prompts, and only then consider hard limits. Pair cost analytics with activity logs: if a spike aligns with unusual activity, investigate before blindly cutting budgets.