Rippling

What if you could handle payroll without leaving Slack? 👀 That tricky, partially non-taxable $10,000 relocation bonus? Not a problem. 🚀 Check out what else you can do with Rippling AI with these 100+ prompts: https://lnkd.in/eT8QEBJD

I was spending over a week pulling performance data together and knew there had to be a better way. So I built a dashboard with Rippling AI that brings performance, potential, and rating change trends into one view. I'm excited to be sharing how I built it live at Rippling’s AI Builders Showcase on Oct 15th!  Save your seat: https://lnkd.in/g4d-wJDg

Some of the best AI use cases aren't flashy. They remove the operational headaches we shouldn't still be solving manually. One of those headaches in People Ops is data governance. When employee, job architecture, compensation, or organizational data starts drifting out of alignment, the downstream effects show up everywhere: reporting, workflows, workforce planning, compliance, decision-making, and ultimately workforce velocity. I'm building a People Ops governance toolkit using Rippling AI to help QA the data, identify gaps, and surface where something needs attention. What I like most isn't just the output. It's how a simple idea can become a closed operational loop: prompt → skill → workflow → dashboard → detect → resolve → clean data → less rework → workforce velocity On October 15, I'll be walking through exactly how I built it during Rippling's AI Builders Showcase. If you're experimenting with how AI can move beyond prompting and become part of the operating layer of People Ops, I'd love to have you join. Save your seat: https://lnkd.in/gyUED4Pp And... we're just getting started! You can see what I've been building so far here: https://lnkd.in/gin3KMSW I'm looking forward to sharing the build, and to seeing how we can collaborate and expand on it.

Rippling’s UK partners gathered in London this week for an evening of drinks, new connections and a conversation on how AI is reshaping the People advisory practice, with Gemma Woods (Crane) (MindsetHR), Greg Guilford (Impact HR), Kate Scott (Tugela People), Zoe Wilson (ReThink HR), and Conor O'Sullivan (Rippling). What stood out: 🔑 The client conversation has matured. It's moved from "what is AI?" to "how do we scale with it safely and govern it responsibly?" ⚡ The human advisor is not going anywhere. AI handles the analytics and drafts, but judgment calls and ER conversations still need a person. 🎯 AI adoption is an ongoing commitment. Start with the job that needs doing, then work backwards into the technology. And treat it as ongoing evolution, not a one-off project. Thank you to our speakers and everyone who joined us! Check out Rippling’s Partner Programme here: https://lnkd.in/dfp2uqy2

It's that time of year again...

Today, we’re introducing new capabilities in Rippling AI: plugins, skills, and automations. General-purpose AI tools are powerful. But at work, they’re often cut off from the context they need most: who someone is, who they work with, what systems they use, and what they’re working on. And even when that context is shared or connected, access is hard to keep current as people join teams, change roles, or leave. With Rippling AI, every employee gets the powerful AI capabilities they expect from general-purpose AI tools. But because it's built on the platform that understands their workforce, those capabilities are automatically tailored to their work, with the right context, instructions, and workflows. Here's how the three work together, using just one example: a manager's week-ahead briefing. 🧠 SKILLS: Package reusable prompts and distribute them based on worker identity, so every manager gets a week-ahead briefing on staffing changes, absences, pending approvals. 🔌 PLUGINS: Connect Rippling AI to the tools your employees are already permissioned to access, so your briefing pulls in context from Slack, Google Workspace, and Jira. ➕ AUTOMATIONS: Run prompts on a schedule or trigger, so the briefing is sent to each manager every Monday at 8:00 AM. Rippling is already the system of record for employee identity, access, and policies. So companies can keep access, approvals, and governance under control. Learn more: https://lnkd.in/di5syCwC

They started as interns. Now they're building products used by thousands of companies as full-time Software Engineers. We're hiring Summer 2027 interns across four tracks: • Backend Software Engineering • Data Science • Full Stack Software Engineering • Machine Learning Engineering Our interns take on meaningful work and grow fast. You'll own real projects scoped to ship during your 13 weeks, work alongside a dedicated mentor and manager, and tackle complex problems that directly impact the business and our customers. We are looking for exceptional emerging talent who continue their careers at Rippling after graduation. 🚀 Apply now 👉 https://lnkd.in/ghnE75Cf #LifeAtRippling

9.23.26

Rippling AI Lab is now live in Bengaluru! Our new AI engineering hub is focused on building trusted AI for businesses, from agents and models to the infrastructure, evaluations, and sandboxing. Bengaluru has been central to Rippling’s engineering story from the beginning. Rippling AI Lab will help shape the next generation of AI-powered business software. Come build with us: https://lnkd.in/grrSSwTm #LifeAtRippling