Apply
RANGE
I don't know what I don't know. There must be more ways to use AI in comp.
Just built salary ranges with Claude in an afternoon. Happy to share the setup.
Got past IT governance last week. Here's the audit template that worked.
Tested three vendor "AI features" this quarter. Two were just ChatGPT wrappers.
Our vendor is way behind. Anyone else building their own matching tools?
Finally people who get it. I was figuring this out completely alone.
Just used ChatGPT to draft comp cycle manager comms for the first time. Is this how everyone else started?
Has anyone actually tested their vendor's new AI module? Need a real review, not a sales demo.
Built a merit cycle FAQ bot that knows our budgets, guidelines, and every deviation rationale. Managers self-serve now.
Founding membership. 100 practitioners.

Stop going it alone.

Range is where reward professionals find the peers, the tools, and the intelligence to build with AI.

Founding membership limited to 100 practitioners.

Register your interest

The reality

01

You're the only one doing this.

The only reward person experimenting with AI in comp. No one to pressure-test ideas with, no one to tell you if what you built actually works.
"I'm alone. I have no one to talk about it."
02

You can't see the next step.

You know you should be doing more with AI in comp. You just don't know what "more" looks like.
"I don't know what I don't know. There must be more ways to use AI in our work."
03

Everyone's talking. Nobody's showing how.

You've sat through the webinars and the thought leadership. What you haven't found is someone who's actually built something you can use.
"A lot of people are talking about AI and it's like a fancy thing to have. But when you ask about real use cases, everyone is like… mmm."
04

The knowledge is locked in other people's heads.

Someone has already solved your problem. Built the tool. Found the workaround. But you'll never meet them at a conference panel.
"There is really no one that's trying to push the boundaries out."

Sound familiar?

That's what Range is for.

A community for reward professionals who want to figure out what AI means for compensation, and stop figuring it out alone.

200+ practitioners have applied. Here's what they'll get access to.

01

The Squad. A vetted room of practitioners who build.

Peer Reviews Live Builds Safe Questions Vetted Membership No Vendors. No Sales Pitches.

A capped cohort of reward professionals who are curious, hands-on, and willing to share what they're learning. People who review each other's work, trade what's actually working, and answer the questions you're too embarrassed to ask on LinkedIn.

Membership is intentionally small and vendor-free. No sales pitches, no sponsored content. Practitioners sharing what they've built and learned.

Read more
02

The Radar. The market intelligence vendors don't put in the demo.

Under-the-Hood Access Design Partner Intelligence Practitioner Product Thinking Pre-Evaluation Briefings

CompTech vendors open the book on how their AI features actually work. Range members are a small, senior group, so vendors share freely. In return, they get product thinking from practitioners who know the domain. You get the inside view before you evaluate, invest, or build.

Read more
03

The Vault. Plug in. Start building.

Tools Guides Templates Frameworks
Claude Code setup guide Job matching tool Manager FAQ bot starter kit Comp philosophy builder CompCommittee Pro AI without the data risk

Setup guides for Claude Code, Google AI Studio, and Copilot that assume you know comp, not software engineering. Working repositories for job matching, comp planning, and benchmarking, shared on GitHub. We give you the starting point and teach you how to make it your own.

Everything you've seen Giac share on LinkedIn has a working file behind it. Inside Range, you get those files.

Read more

Built, not theorised.

You get the code behind every prototype. Fork the repo, plug in your own data, and tailor it for your company's pay philosophy, policies, and context.

New to code? Range includes step-by-step guides for getting started with GitHub, Claude Code, Copilot, and Cursor. Written so you can follow along even if you've never opened a terminal.

Pay Range Builder

Select a job family. Get market-priced pay ranges with confidence scores, overlap analysis, and data quality flags. Grab the code, connect your own data, and make it yours.

Compensation Consultant

Your market pricing copilot.

Select a job family. Get pay ranges with confidence scores and data quality flags.

Range (min–max)
Midpoint
P25
P50
P75
RANGE Outputs are advisory only. All recommendations should be validated against organisational context.

Stakeholder Objection Coach

Select the stakeholder blocking your AI investment. Get the real objection behind their position, a structured response, and the proof you need to bring. Built by a member, shared with the community.

Stakeholder Objection Coach

Your Legal team just said no. Now what?

Select the stakeholder blocking your AI investment.

Pick your blocker

Merit Matrix Builder

Set your budget, choose a distribution, and get a fully calibrated merit matrix with diagnostic flags. The code is yours. Adapt it, improve it, share what you've learned.

⊞

Merit Matrix Builder

Performance × position in band. Budget-constrained.

3.5%
5 / 15 / 55 / 20 / 5
← Higher increase · Position in band · Lower increase →
Methodology: position in band = 0% at band minimum, 50% at midpoint, 100% at band maximum · 3% p.a. ageing assumed RANGE
Interested? Let's talk
Coming soon The Range Podcast cover art

The Range Podcast

Conversations with the reward leaders building with AI. Free to listen, no membership required.

Guest lineup

Arif Ender

Arif Ender

Director of Compensation, EMEA and LATAM, Palo Alto Networks

Theresa Cortese

Theresa Cortese

Senior Compensation & Benefits Manager, Nirvana Insurance

Evert Kraav

Evert Kraav

Senior Manager, Compensation, Bolt

Greg Laney

Greg Laney

HRIS & Compensation Professional

Ryan Buhrke

Ryan Buhrke

Director, Total Rewards & People Operations, Edmentum

Joshua Lemon

Joshua Lemon

Senior Director, Global Total Rewards, Resideo

+ more guests to be announced

Founding members

The practitioners building Range with us.

Ivan Nosov
"A lot of the interesting ideas come from sharing. You need other people to even find that something is possible."

Ivan Nosov

Global Head of HR Tech and Compensation

Campari Group

Matt McFarlane
"Help people realise how easy it is to get started, and then the community channels that into something bigger."

Matt McFarlane

Founder

FNDN and Startup People Summit

Yvonne Prang
"The best ideas in Rewards AI don't come from vendors or consultants. They come from practitioners who are willing to share what actually works, and what doesn't."

Yvonne Prang

Former Senior Director, Global Rewards, International

McDonald's

Arif Ender
"I don't think we have a lot of forums where we really truly share. This takes it further, especially as it's coming into the next era."

Arif Ender

Director of Compensation, EMEA and LATAM

Palo Alto Networks

Alon Sendowski
"The best way to grow in AI is to build with others and sometimes the best way is to teach others, because then you'll learn yourself."

Alon Sendowski

Benefits Professional

Ryan Buhrke
"Having access to AI doesn't make you a builder any more than having access to a piano makes you a musician. The difference is imagination."

Ryan Buhrke

Director, Total Rewards & People Operations

Edmentum

Register your interest
Giac Soliman

"One of the clearest voices on how AI is changing comp and what that means for practitioners right now, both the what and the how."

Matt McFarlane, Founder, FNDN & Startup People Summit

"You won't find someone more passionate about teaching and collaborating with his team or stakeholders when trying to solve a problem or overcome a challenge."

Greg Kuczaj, People Director, EMEA, bolttech

"His appetite to self-learn complex systems for the benefit of the team was first rate."

Tom Hellier, Senior Director, Rewards at WTW

Built by someone who's been on both sides.

Range is built by Giac Soliman. He started in consulting at Hay Group and Mercer, then crossed over to in-house at TikTok, Snap, and Monzo as they were scaling faster than their comp frameworks could keep up. Always the person asked to figure out the thing nobody had a playbook for.

Consulting gave him breadth. In-house gave him the reality check. What neither gave him was a room of peers doing the same thing.

That's the room Range is.

  • AI-built prototypes for compensation, shared in the open
  • Keynote speaker at several events on AI adoption in reward
  • CompTech Roundup newsletter
  • Independent vendor analysis

50+ client engagements. Four in-house builds. A year of building in public. Range is the community he wished existed when he was the only person in the room thinking about this.

Before you apply

Honest answers to the obvious questions.

  • Range is for in-house compensation and total rewards professionals who are experimenting with AI in their work. Senior practitioners, mostly Director-level and above, who feel isolated in that work and want a room of peers who are doing the same thing. If you're actively building, testing, or thinking hard about where AI fits in comp: benchmarking, job architecture, salary planning, executive pay. This is for you.

  • Range is intentionally practitioner-only. If you work for a vendor, this isn't the right fit for membership, but there are other ways to engage with the community. Reach out to find out more. We're also not designed for recruiters, generalist HR without a total rewards focus, or people in the early stages of their comp career. Senior people leaders with a deep interest in total rewards (Chief People Officers, Heads of People) are welcome. Range is specifically for senior practitioners who are building with AI now.

  • Membership is reserved for in-house practitioners, that's what keeps the conversations honest. If your primary role is in-house but you do some advisory on the side, you're welcome to apply. If consulting or advising is your main work, this isn't the right fit. That said, there are ways to engage with Range that aren't membership. Reach out if you want to explore that.

  • No, but the bar is genuine engagement with the question. You don't need to have shipped a working tool. You do need to be actively exploring AI in your role: experimenting with prompts, trying tools like Claude Code, Lovable, or open-source alternatives, reading seriously about what's possible. If you're experimenting, that's a really good sign. If you're just watching from a distance and hoping it goes away, Range probably isn't the right fit yet.

  • Range runs on Slack. You get access to a library of plug-and-play tools and templates in the Vault, each contributed by a member. If you don't know where to start, we teach you how to get set up, from what GitHub is to how to fork a repository and make it your own. The most hands-on part: small group calls where members build prototypes together in real time. The Radar gives you market intelligence on what CompTech vendors are actually shipping. The Squad is where honest debate on AI in comp and total rewards happens. The community is intentionally small, so every conversation matters. Range is member-funded. No ads, no sponsors, no vendor influence on what gets discussed.

  • Every application is reviewed personally. If it looks like a strong fit, the founder will reach out with next steps. If it's not the right moment, you'll get a clear response. Never radio silence.

  • Founding membership is capped at 100. We may extend participation in the future, but Range will always be a vetted, private community. We're not aiming for thousands. A room of 100 practitioners can have real conversations, review each other's work, and actually know each other over time. At 1,000 people, it's a forum. At 100, it's a room. The founding cohort sets the culture, so we're being deliberate about who's in it. Founding members get their rate locked for as long as they remain members. Future cohorts will pay more.