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The ParleHub analytics dashboard gives org admins a complete, real-time picture of AI spend across every project, team member, provider, and model in the organization. Instead of reconciling line items from multiple provider invoices, you get one unified view — drillable by the dimensions that matter for professional services billing. Use it to spot high-spend engagements before they hit a budget ceiling, identify which models your team reaches for most, or pull the monthly export your finance team needs. Open Analytics from the main sidebar. By default, the dashboard opens at the org level, showing total spend across all projects and all members for the last 30 days.
Org-level analytics are visible to org admins. Project members without that role see analytics scoped to their own projects only.
You can also reach analytics from Org Settings → Usage & Billing → Analytics.

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Dimensions You Can Slice By

Use the dimension tabs and filters at the top of the dashboard to break spend down along any axis — or combine multiple filters to narrow to a specific subset.

Project

See which client engagements are consuming the most tokens and cost. Quickly identify projects approaching their budget ceiling before enforcement triggers.

Person

See which team members are the heaviest AI users across the org. Useful for understanding adoption patterns and for reviewing individual spend against personal caps.

Provider

Compare spend across Anthropic, OpenAI, Google Gemini, and Azure OpenAI. Understand where your AI budget is going at the infrastructure level.

Model

Break spend down by specific model — compare gpt-4o vs claude-3-5-sonnet vs gemini-1.5-pro. Identify whether cost-efficient models could substitute for premium ones on lower-stakes tasks.

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Date Range

Set the time window using the date range picker in the top-right corner of the dashboard. Available presets:
  • Last 7 days
  • Last 30 days
  • Last 90 days
  • Custom range (pick any start and end date)
All charts and totals update instantly when you change the range. Custom ranges can span up to 12 months in a single view.

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Exporting Data

Pull a full CSV export from any analytics view to feed into your billing system, matter management platform, or financial reporting tools.
1

Open the Export tab

From the Analytics page, click the Export tab.
2

Set filters

Choose a date range. Optionally filter by specific projects, members, or providers to limit the export to what you need.
3

Download

Click Download CSV. Exports covering up to 90 days are ready immediately. Longer ranges generate a download link sent to your email within a few minutes.
Each row in the export includes:
Export monthly and import by expense code into your practice management system to automate client AI cost recovery without manual reconciliation.

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One Canonical Ledger

The analytics dashboard and ParleHub’s budget enforcement engine read from the same underlying token ledger. The spend number you see in a project’s analytics view is the same number that triggers the 80% warning banner and the pre-flight budget block. There is no lag, no reconciliation gap, and no difference between “reported spend” and “enforced spend.” When analytics shows a project at 420ofa420 of a 500 budget, enforcement will block at $500 — not at some independently calculated figure.
Token counts reflect actual billed tokens from the provider response. ParleHub does not mark up, round, or adjust token counts — what the provider reports is what you see and what you are charged for.
In a billable-hours environment, the number on your analytics export needs to match the number on any client invoice or write-off memo. Because ParleHub uses one canonical ledger for both reporting and enforcement, you can export usage data and use it directly in billing workflows — with confidence that the numbers reconcile with the limits your team experienced during the engagement.