Fractional Head of AI · For Australian businesses $10M–$100M+

A Chief AI Officer’s results. A third of the cost. Live in 30 days.

Senior AI leadership that turns boardroom ambition into shipped systems - Advisory, Building, and Maintenance in one partnership, with the first builds live inside a month.

Fractional Head of AI is a Chief AI Officer (CAIO) role delivered as a fractional retainer to Australian businesses. NxtLayr AI offers two tiers: Embedded at $12,000 per month ex-GST for businesses $10M–$50M, and Executive at $20,000 per month ex-GST for businesses $50M–$100M and multi-entity operations. Earlier-stage businesses ($1M–$10M) start with Managed AI Operations at $5,000 per month. All tiers deliver CAIO-level accountability across three layers - AI Advisory, Building, and Maintenance - with the first production systems shipped within 30 days. Month-to-month, no lock-in.

5.0 client ratingSee reviews7+years experience

The Market Gap

Your competitors are already getting ahead of you with AI.

In the US, the job market for senior AI roles is growing fast. In Australia, at the equivalent size - $20M, $50M, $80M - the role barely exists. There’s little talent for it, pay expectations start at $300K+, and many leadership teams aren’t yet ready to defend the headcount to the board.

Meanwhile the leverage is being captured without you. Your competitors are already deploying AI across operations, finance, and sales. Without someone owning AI internally, you keep kicking it down the road - “we’ll get to it next quarter” - or worse, end up with fragmentation: six departments running uncoordinated AI experiments that never compound.

A Fractional Head of AI gives you the upside with minimal downside. You get years of expertise and AI systems built for how you actually work - so you can use and scale AI, instead of just reading about it.

The Widening AI Value Gap

1.7×

revenue growth

3.6×

three-year total shareholder return

1.6×

EBIT margin

AI leaders vs. laggards, measured across global enterprises.Source: BCG, The Widening AI Value Gap, September 2025.

How We Deliver

Our three-layer approach.

A consultant gives you Advisory and leaves. A project vendor gives you Building and re-quotes every brief. A full-time hire gives you all three at $400K loaded. NxtLayr gives you all three at a fraction of the cost.

01

Advisory

The senior seat.

What to build, in what order. Vendor and build-vs-buy calls. Reading where the market moves. Translating ambition into a delivery plan.

02

Building

The delivery engine.

Systems shipped in production. Skills, connectors, automations, roadmap delivery, team enablement. Not a deck - working software.

03

Maintenance

Kept compounding.

Shipped systems kept current as the platform changes. Account hygiene, optimisation, documentation. The work that stops AI from rotting.

"A consultant advises. A fractional partner leads."

How It Works

The 4-Week Operating Cadence.

Every engagement runs on a structured monthly rhythm. There is never a "wait, what's happening this month" moment. You always know what you are getting. We always know what we owe you.

Week 01

Performance Review

What moved last month, what broke, what needs attention. KPIs reviewed against targets. Incidents investigated. Priorities for the month adjusted. Output: a clear list of what we're tackling next.

Week 02

Optimisation Sprint

Ship the improvements identified in Week 1. Tune existing systems. Fix what's slipping. Harden what's working. Output: the existing AI stack runs measurably better than 30 days ago.

Week 03

Build Cycle

Net-new workflow or capability expansion. Every month a new piece of the AI stack goes live. Output: a new system in production, owned by your team.

Week 04

Strategy & Reporting

Leadership update. Roadmap re-rank. Next month locked. Written monthly impact report delivered to your leadership team.

Client Reviews

Real results, in their words.

5.0 client rating
via Google

Chris set up Claude on my MacBook and configured it specifically for how I work as a mortgage broker. He took the time to understand the business before touching anything, which made a real difference - what he built actually fits the way I operate day to day. Straightforward to work with, knows his stuff, and didn't overcomplicate anything. If you're a small business owner wanting to get AI working properly (not just installed), Chris is worth talking to.

J
Joseph Ghoussain
Director, Financial Services
via Google
via Google

We brought Chris from NxtLayr in to consult for us. He ran an AI audit which found a few gaps in our process. We're a concrete business and before meeting Chris I assumed AI couldn't do much for us. The team is fully in the know and using the AI System every day now for quoting, writing scopes, admin, and more. If you're a business owner who knows AI is coming but has no idea where to start then talk to him. We couldn't recommend him more highly.

T
Tom Bache
Owner, Construction & Engineering
via Google
via Google

I was hearing a lot about AI but not knowing where to start. Chris was very knowledgeable and patiently explained the advantages. Many of his recommendations were surprisingly low cost and easy to use. The audit paid for itself already, and we plan to engage NxtLayr AI to automate more processes.

P
Paul Nicholson
Owner, Automotive Retail
via Google
via Google

Chris built my dental business a custom AI operating system. He connected my tools into AI so now I can ask it questions on my revenue, customers, and it helps me get more things done in my day.

D
Derek Lee
Owner, Healthcare Practice
via Google
via Google

In an evolving area Chris is really on top of what's available and how these can add real value to your business.

B
Brendan Smith
Director, Professional Services
via Google
via Google

Every business owner is either already engaging with AI to looking to start. The conversation I had with Chris and the audit he conducted on my business was helped me understand it where to start and how easy it can be to get some quick wins. Thank you

M
Marko Kraljevic
Director, Financial Services
via Google
Pricing

Two tiers. Pick the right size for your business.

Month-to-month, no lock-in. Audit fee credits toward month one. Earlier-stage businesses start with Managed AI Operations.

Most Common

For businesses $10M–$50M

Embedded

$12,000/mo ex-GST

Senior AI leadership embedded in the business

Companies going AI-native fast, replacing or postponing a full-time CAIO hire

  • 2 production builds shipped each month, scope across departments
  • Cross-team rollout coordination - one cross-team rollout per quarter
  • Standing seat at executive team, strategic planning, and board AI sessions
  • Bi-monthly 60-min AI education session - team rollout or show-and-tell
  • AI Champion enablement - onboarding workshop and quarterly working session

For businesses $50M–$100M

Executive

$20,000/mo ex-GST

A full AI department, led from the top

Multi-entity, multi-region or AI-native businesses running serious build pipelines

  • Everything in Embedded
  • 3–4 production builds shipped each month, depending on complexity
  • AI engineer/developer assistance alongside the founder
  • Multi-department AI Champion enablement program
Review the Market

Why we deliver AI this way.

Every alternative gives you part of what AI leadership actually requires. Project vendors build but don't direct. Consultants direct but don't build. A full-time hire does both - at $400K loaded and a six-month ramp. We built NxtLayr so a mid-market business can have all three layers - Advisory, Building, and Maintenance - running from day one, at a fraction of the cost.

 Project-by-projectConsultantFull-time hireNxtLayr partnership
Advisory - what to build, market readNoYesYesYes
Building - systems shipped in productionYesLimitedYesYes
Maintenance - kept running, compoundingNoNoYesYes
Accountable for the outcomeDeliverable onlyAdvice onlyYesYes
Measured byDeliverablesReports + hoursTime + attendanceOutcomes
CostAdds up per projectHigh day rates$280K–$440K loaded$84K–$240K ex-GST

"Embedded runs at roughly one third the cost of an in-house Chief AI Officer. Executive at the cost of the hire - but with a dedicated engineer, a proven build engine, and zero ramp, recruiting risk, or severance exposure."

Your First Quarter

What the first 90 days look like.

Days 1–30

Foundation

  • Audit findings translated into prioritised initiatives
  • 90-day roadmap delivered with 6–10 named initiatives
  • First 2 systems live (highest-impact, lowest-effort)
  • Leadership team in operating cadence
  • AI governance principles drafted
Days 31–60

Compounding

  • 4–6 more systems live or substantially upgraded
  • Monthly impact report shows measurable change
  • Internal AI champions identified across departments
  • First quarterly board-level AI presentation prepared
Days 61–90

Operating system

  • AI infrastructure feels like a department
  • Cross-department workflows running on autopilot
  • Roadmap re-ranked based on what we've learned
  • Month 4 starts with momentum, not from zero
Fit Check

Who this is for.

This is for you if
You run a business at $10M–$100M+ revenue, 30–500+ staff
Your leadership team has named AI as a strategic priority for the next 12+ months
You are seriously considering hiring a Chief AI Officer in the next year - or already shopping
You want to validate the role's value before committing to the headcount
Your business has multiple departments where AI could move the number simultaneously
This isn't for you if
You are below $10M revenue (look at Managed AI Operations - same cadence, sized to your business)
You only have one workflow you want automated (book a one-off project)
You already have a full-time AI leader in seat
You want a vendor relationship, not a partnership
Questions

What people ask before signing.

Right when AI needs daily executive attention and the scale justifies it. For a business standing up its AI capability, fractional is the right stage: a fraction of the cost, no recruitment risk, already proven delivery, and a cross-client pattern library a single hire cannot have. The right time to go in-house is when the business has confirmed AI is a permanent department-level capability - until then, fractionalise.

One-off projects buy the Building layer only. No Advisory finding what is worth doing, no Maintenance keeping it alive, no compounding - and a re-brief and re-quote every time. The partnership is the cheaper structure once you cross two or three projects a year.

You own every build, configuration, and document. Everything is documented in your workspace, in your accounts. NxtLayr retains only general methodology. No platform lock-in, no IP hostage.

The founder (Chris Gulotta) sits the seat. NxtLayr is not an agency where senior people sell and juniors deliver. If you are paying for senior AI leadership, you get senior AI leadership - directly, in every meeting, on every build review, in every leadership session.

Rolling monthly. No lock-in. The partnership earns its place every thirty days. Pause-friendly up to sixty days per year without losing the seat.

Yes. Both tiers include board-ready monthly impact reports. Embedded includes quarterly board-level AI presentations on request. Several clients use us specifically for board-quality AI reporting they cannot generate internally yet.

We can review and sign reasonable enterprise MSAs. We will push back on terms that don't fit the fractional model. Our standard terms are at /terms.

Australian Privacy Act 1988 compliance. ACSC Essential Eight at Maturity Level 1. ISO 27001 alignment with certification targeted for mid-2027. Detailed in /trust-center.

Start with a strategy call.

20 minutes with the founder. No prep. By the end you'll know if Fractional Head of AI fits, which tier matches, and whether the audit is the right next step.