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Rippling Data Cloud: how the HR system identifies inefficient AI spend

Rippling Data Cloud: how the HR system identifies inefficient AI spend

Friends, sharing a tech update: Rippling launched Data Cloud — an HCM with embedded analytics.

- Parker Conrad says HR can consolidate the data stack and provide organizational-context insights.
- Examples: dashboards for compensation reviews, tickets and schedules; AI-token spend analytics (Anthropic/OpenAI logs, GitHub, ratings) uncovered employees with high consumption and low ROI. The system can restrict access or notify managers.
- Launched Business Banking — a high-yield account and same-day payroll. Base SKU ~ $20/mo, ~560 companies, new revenue $5–7M/mo.

Why it matters: centralizing HR data reduces waste and accelerates decision-making.

How do you feel about centralized HR analytics in your company?

#HRTech #PeopleAnalytics #AI #FinTech

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min read 1 28.06.2026
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Rippling Data Cloud: how the HR system identifies inefficient AI spend

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