Rippling +

Sana Labs

Connect Rippling to Sana Labs to automate AI-powered learning platform access and deliver personalized training from day one.

What the Rippling +

Sana Labs

 Integration Does

The Rippling–Sana Labs integration automates user lifecycle management in Sana's AI-powered learning platform based on Rippling employment data. Employees are provisioned into Sana on hire with role-appropriate learning paths, and access is removed at offboarding — ensuring AI-personalized learning is active from the first day without manual enrollment setup.

Sana Labs uses AI to personalize the learning experience for each employee based on their role, knowledge gaps, and learning history. Connecting it to Rippling ensures the personalization engine starts with current role context from the HRIS, and that Sana's user base reflects the actual workforce.

What Mid-Market Teams Get Wrong

Companies deploying Sana Labs often configure learning paths manually for each department rather than connecting role data from Rippling to drive personalization. When role or department changes happen in Rippling, Sana's learning paths don't update automatically — employees continue receiving training from their previous role context. Connecting Rippling closes this gap.

How thePeopleStack Configures This

thePeopleStack configures the Rippling–Sana integration with role, department, and team data mapping to drive Sana's personalization engine. We validate that learning path assignment updates when Rippling role changes occur and that deprovisioning removes access at termination.

USA & Canadian Operations Note

Sana Labs is deployed globally. For thePeopleStack clients with Canadian employees, Sana provisioning and learning path assignment follow the same Rippling-driven lifecycle as US team members.

FAQs

What is Sana Labs?

Sana Labs is an AI-powered learning platform that personalizes the learning experience for each employee based on their role, knowledge gaps, and learning behavior — used by forward-thinking L&D teams that want to move beyond static course catalogs.

How does Rippling data improve Sana's personalization?

Sana's AI personalizes content based on the learner's role and context. Connecting Rippling's department, job title, and team data ensures Sana has accurate role context from the start, improving the relevance of learning recommendations from day one.

Does Sana update learning paths when an employee changes roles?

Yes — when role changes are connected to Rippling, Sana can update learning path assignments to reflect the employee's new context, ensuring training remains relevant after promotions and role transitions.

Does Sana Labs support SSO with Rippling?

Sana supports SSO configurations that can be managed through Rippling, tying learning platform access to active employment status.

How long does configuration take?

Configuration takes 2–3 hours including role data mapping, learning path assignment logic, and provisioning trigger testing.

Ready to Connect Rippling with

Sana Labs

We implement and configure Rippling integrations for mid-market teams across North America. Most integration setups are completed within a single implementation engagement.

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