AI Insights

AI insights summarize billing and revenue signals so operators can decide where to look first.

AI output should support review, not replace finance controls, customer communication judgment, or accounting reconciliation.

What AI insights can help with

Use case	Example
Executive briefing	Summarize revenue changes, overdue invoices, and customer risk.
Risk detection	Highlight repeated payment failures or high-value past due accounts.
Opportunity review	Identify customers with growing usage or expansion potential.
Exception triage	Call attention to unusual refunds, credits, or billing changes.

What to verify manually

Before acting on an AI insight, verify:

• Source invoices or subscriptions.
• Payment transaction history.
• Customer status and recent support context.
• Whether test data is included.
• Whether the insight reflects billed, paid, or contracted revenue.

Responsible use

• Do not send AI-generated financial claims to customers without review.
• Do not treat AI summaries as accounting records.
• Keep sensitive customer data limited to what is necessary.
• Use AI output as an operating signal, not a final decision.

Suggested review workflow

1. Read the daily or weekly summary.
2. Open the underlying customer, invoice, or subscription.
3. Confirm the data.
4. Assign an action to finance, support, sales, or customer success.
5. Track whether the issue was resolved.

Related docs

• Key metrics
• Reporting overview
• Failed payments and retries
• Payments