// An invitation

Full-Stack People & Culture: putting AI to work across every part of HR, together.

AI has already rewritten software engineering — the roles, the tools, the way work gets shipped. That wave is hitting P&C now. We're a practitioner-led community exploring what it means for our profession, and how we use it to unlock more business value from the P&C function.

Join us on LinkedIn → Free · Practitioner-run · Everyone welcome

We get together in person every second month, and keep the conversation going on LinkedIn in between. In-person meet-ups are starting in Auckland — if you'd like to host one in your city, get in touch with the co-leads.

// 01 - Why we started this

Most of us are figuring AI out one corner of HR at a time.

Payroll is trialling reconciliation agents. Talent is tuning sourcing prompts. Performance is quietly testing sentiment analysis. Learning is generating content. Each team is making its own calls on bias, privacy, and what "augmenting" actually means: often without comparing notes.

But the work itself doesn't sit in corners. A performance nudge is a learning signal. A payroll anomaly is a DE&I data point. An org change reshapes talent supply. The silos are ours; the problems don't respect them.

Better together.

The Full-Stack P&C community treats the whole function as one system. We swap what's working, borrow across disciplines, keep each other honest on the ethics, and build a shared language for putting AI to work alongside people. Not instead of them.

No one person, team, or vendor has the full picture yet. Between us, we might.

The Full-Stack P&C practitioner.

The name's borrowed. "Full-stack" started in software engineering — a developer who, with the right tools in reach, could move fluidly across the front end (the user interface) and the back end (the server infrastructure) instead of being stuck in one layer. AI has now widened that reach again: the best engineers today move across parts of the stack that used to demand whole separate teams.

The same shift is landing in P&C. The practitioner we see coming can work across any stage of the colleague lifecycle, drawing on the specialist skill sets AI now puts within reach — analytics, policy, reward design, L&D, comms — and combining them with the thing only we bring: deep domain expertise in people. That's what Full-Stack People & Culture points at. Not less specialism. More reach.

// 02 - Three dimensions of the shift

Three dimensions of the shift.

The change is landing across three dimensions at once: the platforms we work through, the processes we run, and the people on both sides of the desk — our workforce, and our own profession.

Hover or tap a dimension to see where the opportunity — and the trap — lives.
// 03 - The colleague lifecycle

How we see the work.

P&C doesn't show up one function at a time. It shows up alongside people at every stage of their career with you. Hover or tap a stage to see how AI is reshaping it, and how it connects to the rest of the function.

Hover or tap a stage to see what AI is doing there, and what it touches.

// AI is how we finally bridge the gaps between these stages — so the employee experience stops feeling like a series of handoffs, and finally becomes the journey we imagined it could be.

// 04 - How we meet

Every second month in person. LinkedIn in between.

The same wave that rewrote software engineering is landing in P&C. The question is whether we meet it as a profession, or one corner at a time.

// 05 - The LinkedIn group

Come hang out on LinkedIn.

That's where the collective lives between meet-ups. Join the group to introduce yourself, share what you're experimenting with, and ask the "has anyone else seen this?" questions that don't need a whole gathering to answer.

Join the group →
// 06 - About us

Two practitioners. No vendors, no agenda.

We started this because it's the conversation we couldn't find anywhere else. Both of us work in P&C, both of us are experimenting with AI in our day jobs, and neither of us is here to sell you anything. We host the meet-ups, keep the LinkedIn group ticking, and otherwise get out of the way.

Portrait · replace

Laurence Hopkins

Reward, People Technology and AI · Spark · Auckland

A few sentences on what they work on, where they're poking at AI right now, and what they're still figuring out.

"A short, unpolished line about what they care about."

Portrait · replace

Mark Stephens

Performance, Reward & Analytics · BNZ · Auckland

Testing the limits of what AI can do to turbo-charge the colleague lifecycle — and unlock the performance potential of our people.

"Keeping humans at the centre of the biggest technical change to hit the world of work in any of our careers."

// 07 - Questions

The ones we expect you to ask.

What business value does this unlock?

For decades the complaint about P&C has been that we can't connect our work to business outcomes as clearly as Finance or Product can. Working on AI across the whole function — platform, process, and people at once — is the first real shot at closing that gap. Workforce risk, cost-to-outcome, engagement signal, skills supply: all the questions the business has been asking us for years, joined up. This community is the fastest way we know to build that capability without each of us re-learning the same lessons in isolation.

Is this vendor-led or sponsored?

Nope. Just two practitioners running it in our own time. No sponsors, no demo slots, no kickbacks. If you work for an HR vendor, you're welcome as a practitioner. Just leave the product pitch at the door.

How often do I need to show up?

Not a lot. We meet every second month for 90 minutes after work, starting February. Come when you can, skip when you can't. Most of the back-and-forth happens on LinkedIn in between.

Who hosts the meet-ups and finds the speakers?

Members do. We rotate the hosting, usually at someone's office or a local venue. The host brings in a speaker or two from their network. The co-leads keep the calendar moving, but the meet-ups belong to whoever's hosting.

Where are the meet-ups held? What if I'm not in Auckland?

Meet-ups start in Auckland — that's where the co-leads and the first members are. The LinkedIn group is global from day one, so you can be part of the conversation from anywhere. As the community grows, we'll spin up meet-ups in other NZ centres.

How does data privacy work if we discuss real cases?

In-person sessions run under Chatham House Rule by default. Nothing shared in person ends up on LinkedIn without the originator saying it's fine. We don't record.

Who is this for?

P&C people who are actively poking at AI in their day job. "Senior" here means scope and ownership, not title. If you're one of the people deciding how AI shows up in your function (or you'd like to be), you'll fit right in.

Is there a cost?

No. Meet-ups are hosted by members' organisations on a rotating basis. If anything ever needs funding (venue, catering), we'll be upfront about it and split it at cost.

How do I join?

Request to join the LinkedIn group. Say hi in the welcome post when you're in. The first meet-up after you join is a good one to come to.

// Come say hi

Interested?

If any of this sounds like your kind of conversation, come join us. Jump into the LinkedIn group to meet the rest of the community, and we'll see you at the next meet-up.

Free · No forms · Just P&C people working things out together