Reconciling Q3 vendor invoices
Neha Iyer·ChatGPT·Sep 24, 10:12 AM – 10:54 AM
Redacted·Financial data× 18Personal info× 9Legal entities× 4
NetLens · Analytics for AI usage
How AI is really used, by whom, for what.
AI usage analytics in plain English: live summaries, sessions, topics and redactions, built on redacted text only.
AI Activity
One view of AI across the company.
Top people, tools and what got redacted, without reading anyone's raw prompts.
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Live summary
A plain-English read of what teams are doing, per tool.
- 2
What got redacted
Credentials, personal, health, financial and legal data. Counted.
- 3
Top people
Who uses AI most, by team.
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Top tools
Which tools, and how often sensitive data was in play.
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Token usage
Consumption per person and tool.
Runs on redacted text only. It explains how AI is used, not what individuals type.
And the rest of the picture
Sessions, not lines
Related prompts grouped into one titled unit of work.
Topics
What the company actually uses AI for, mapped automatically.
Department reports
Org, department and employee views for leadership.
Audit logs
An exportable AI audit trail, as CSV or JSON Lines.
Alerts
Slack, email or webhook when sensitive data shows up.
Start with one team. Prove control before you scale AI.
Start with one team. See exactly how your company uses AI.