The thinking behind the implementations.
Answer-first guides, practical toolkits, the case studies, and how we think about activating AI on your stack. Ungated where it should be.
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Guides
How-to and decision content — ungated, answer-first, and built to be found. - 2 toolkitsBrowse toolkits
Toolkits
Templates, checklists and SOPs, ready to adapt. - 5 case studiesSee the work
Case studies
The work, with the platform named and the metric traceable. - 6 essaysBrowse writing
Writing
Essays and point of view on implementing HRIS and activating AI.
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AI governance for people teams
Your HRIS shipped AI features this year, so you have an AI programme now — the only question is whether it is the one you chose. What to inventory, what to decide, and what to be able to produce when someone asks.
Updated August 2026Read the guideGuideMigrationsGusto to Rippling: the 2026 migration guide
How to move payroll and HR from Gusto to Rippling without a broken cycle — the sequence, the timeline, and what actually breaks.
Updated August 2026Read the guideGuidePlatform selectionRippling vs HiBob: an honest comparison
From a firm that implements both, every week — priced by your headcount, not your platform. Which platform fits which company, module by module.
Updated August 2026Read the guideGuideImplementationHRIS implementation readiness: what good looks like
The decisions to make before you configure anything — data, permissions, integrations and cadence — and how to tell if you are ready.
Updated August 2026Read the guideToolkitAI governanceHR AI Usage Policy Template
A ready-to-adapt AI usage policy for people teams — scope, guardrails, a named owner, and an audit trail. Written to survive legal review.
Updated August 2026See the toolkitToolkitMigrationsPEO Exit Playbook & Checklist
The sequence for leaving a PEO on a deadline you did not set — notice periods, plan year, payroll cutover and the order that keeps it clean.
Updated August 2026See the toolkitWritingAI activationImplementing Rippling AI: the governance checklist
Turning on Rippling AI safely is a permissions problem before it is a features problem. The checklist we run before enabling a single agent.
Updated July 2026ReadWritingAI activationBob Companion rollout: which agents first
Enabling Bob Companion feature by feature beats switching it all on. Which agents to roll out first, and how to tell they are working.
Updated July 2026ReadWritingAI governanceThe permission audit your AI needs
AI on your HRIS is only as safe as the permissions beneath it. How to run the audit that has to come before activation.
Updated July 2026ReadWritingPrivate equityWhat PE diligence actually asks for: people edition
The people-data questions private-equity diligence asks, and the systems that answer them without a fire drill.
Updated July 2026ReadWritingAI governanceShadow AI is already in your HR data
Policies govern the AI you switched on. They say nothing about the AI your team is already using — and adoption is running ahead of policy.
Updated July 2026ReadWritingAI activationRippling AI vs Bob Companion
The two platforms' AI layers move data in opposite directions — Rippling pulls third-party data in, HiBob pushes HR data out. What that means for governance.
Updated July 2026Read20 minutes. No deck. No pitch.
You talk. We map what you’re running and where to start. The fixed quote follows the call, in writing.