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
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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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Common HRIS Implementation Mistakes
The seven mistakes from the HRCI webinar as working documents: four checklists, the five-dimension selection scorecard, the seven-question self-audit, and every source cited.
Updated September 2026See the toolkitGuideMigrationsThe parallel payroll run, step by step
One live pay period, processed in both systems and reconciled line by line. What to compare, which variances are benign, and who signs off.
Updated August 2026Read the guideGuideMigrationsHRIS data migration: what moves, what gets rebuilt, what stays behind
Sort people data into what moves, what gets rebuilt and what stays behind before anyone exports a file. The load order, and where migrations break.
Updated August 2026Read the guideGuideSelectionTwelve questions to ask on an HRIS demo
A demo runs on clean sample data. Twelve questions that find where the system does not fit, with the answer that should worry you attached to each.
Updated August 2026Read the guideGuidePrivate equityPeople ops in the first 100 days after a PE investment
Diligence proved the numbers once. Ownership produces them monthly. What to agree by day 30, fix by day 60, and make repeatable by day 100.
Updated August 2026Read the guideGuidePayrollRegistering as an employer in a new state
One employee in a new state creates the obligation. The five accounts to open, why processing time governs your timeline, and the four traps.
Updated August 2026Read the guideGuidePayrollThe payroll close: approvals, segregation and the audit trail
Payroll is the largest line in the P&L and often the least controlled. The two-person split, the close calendar, and what the approver checks.
Updated August 2026Read the guideGuideBenefitsYour first open enrollment on a new HRIS
The first enrollment on a new system tests every benefits decision the migration made. Work backwards from the effective date, and start earlier.
Updated August 2026Read the guideGuidePeople opsYour first HR hire, and what to fix before it
Headcount is the weakest signal for this decision and the one most companies use. Four better triggers, and the work to do before anyone starts.
Updated August 2026Read the guideGuideComplianceCalifornia pay data reporting, from your HRIS
The filing lands in May, but the data comes from a pay period you pick in Q4. What the report needs your HRIS to be able to produce.
Updated August 2026Read the guideToolkitMigrationsGusto to Rippling Migration Runsheet
The eight-week migration as a working checklist: owners, sign-offs, and the weeks that decide whether the last two go quietly.
Updated August 2026See the toolkitToolkitImplementationHRIS Implementation Readiness Pack
Three artifacts worked in order before kickoff: the data audit, the decision docket, the ownership map. None of them needs the vendor.
Updated August 2026See the toolkitToolkitSelectionRippling vs HiBob Decision Worksheet
Score what has to be great for the next two years, then write the case against each platform while your head is still clear.
Updated August 2026See the toolkitGuideAIAI governance for people teams
Your HRIS shipped AI features this year, so you have an AI program 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 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.