AI Transformation Advisory
From ChatGPT to AI doing real work.
Most teams use AI to type faster. It doesn’t move the bottom line. We build systems and agents that do the work itself, for founder-led service businesses.
The real problem
Your team is using AI. Your business isn’t.
You’ve done the sensible things. The bottom line hasn’t moved at all.
You bought the subscriptions. ChatGPT for the team, maybe Copilot or Claude. The invoice goes through every month.
A few people are genuinely saving time. The prompts work, some meetings are shorter.
But the business runs exactly the same way it did two years ago. The same bottlenecks. The same manual handoffs. The same founder in the middle of decisions that should happen without them.
That’s not an AI problem.
That’s a work design problem.
The longer you run this way, the wider the gap gets. Businesses redesigning their work around AI don’t just move faster - they’re worth more when it comes time to sell.
Those are two different things, using AI and running on it. Most businesses are only doing one.
Where this is heading
The companies that get AI right are pulling away.
This isn’t a story about who spent the most. A small group have implemented AI and agentic systems properly. The returns are compounding, and the gap is getting harder to close every quarter. And that small group is almost entirely the big enterprises already pouring money in. Most small and mid-market businesses have done little beyond handing round a ChatGPT licence, and have seen no real change for it. For a small or mid-sized business, that’s not the setback it sounds like. It’s the opening, and the room to move is bigger now than it’ll be again.
of AI's economic value goes to 20% of companies, and that's only counting the big enterprises already pouring money in. Most smaller businesses aren't in that race at all.
PwC 2026 AI performance study
the productivity AI leaders get from their workflows, around 25 to 40%. The median large company that's invested gets 3 to 7%. Most everyone else, nothing.
PwC 2026 AI performance study
of company AI pilots deliver little to no measurable impact on the P&L. The spend mostly isn't the problem. Getting it right is.
MIT's State of AI in Business study, 2025
There's nothing wrong with your business.
It just hasn't been built around AI yet.
What changes
What changes when your business becomes AI-first.
| Today | AI-first |
|---|---|
| Staff use ChatGPT however they like, with no standards and no shared memory between sessions | Teams run approved AI workflows. Humans make the calls; AI handles the repeatable work. |
| Managers spend hours each week summarising meetings and writing update emails | Call transcript in, summary and action list out. Done in seconds. |
| No one owns AI. Everyone experiments. Nothing compounds. | A rollout roadmap with clear owners, a delivery sequence, and measurable weekly targets. |
| AI feels exciting and promising but it never shows up in the P&L | Measurable hours recovered every week, tracked and growing quarter by quarter. |
“AI-first doesn’t mean a smaller team. It means your team stops doing the work that shouldn’t have needed a person, and starts doing the work only a person can do.”
Henry Reith
Ready to find where this applies in your business?
Book an AI-First Assessment and we’ll identify the workflows worth acting on first.
The path from here
Four steps. A clear roadmap in 24 hours.
Half a day inside your operations. A prioritised roadmap. You’ll know where AI earns its keep - and where it doesn’t.
Discovery
AI Audit
Build
Handover
Most implementations land in 30 to 90 days.
The methodology
The ChatGPT to AI-First Framework
Built from inside a business that was sold, not from the outside looking in. A working method for taking a founder-led business from scattered AI experiments to an operational AI-first company.
Who you’d actually be working with
Henry built and sold a real business.
He’s applying the same thinking to yours.
Nine years as CEO of Oh Crap, Australia’s leading sustainable dog waste brand. AFR Fast Starter. RSPCA partnership. He’s been the founder in the chair you’re sitting in.
“Most founders I meet already know something needs to change. They just need someone who can explain it clearly, build it properly, and not make them feel stupid in the process.”
Henry Reith, Founder
Built with you, explained in plain English.
Thinking about exiting?
Planning to exit in the next 12 to 24 months?
An AI-first business tells a completely different story to a buyer. Leaner operations. Scalable without headcount. Documented systems. When that story is told clearly to a buyer, it’s worth a meaningful uplift on your multiple.
| Without AI-first systems | With AI-first systems |
|---|---|
| Runs on people | Runs on systems |
| Hard to scale without hiring | Scales without headcount |
| Opaque to a buyer | Transparent and documentable |
| Exit story: "we're a people biz" | Exit story: "we're a system" |
And it isn’t only a better story. Recurring cost you take out before a sale gets multiplied by your EBITDA multiple at the table, so the leaner version of the business is also worth a good deal more.
Questions worth asking.
An honest filter
This isn’t for everyone.
This isn’t for you if
You want a one-hour AI tips workshop for your team.
You're looking for a strategy deck to read once, then file.
You want a tool review, not an operating change.
You're expecting AI to replace your team rather than free them up.
This is for you if
You're a founder or owner of a 10 to 200 staff service business.
You already use ChatGPT, Claude, or Copilot, but it hasn't changed how the business runs.
You want practical implementation, not another inspiration session.
You're ready to redesign the work, not just train people to write better prompts.
Ways to work together
Pick the one that fits where you are.
Fractional Chief AI Officer
Board-level AI leadership without the full-time hire. Owns the strategy and the roadmap.
Read more →Book your AI-First Assessment
A 30-minute call to map where your business sits on the AI maturity ladder and whether working together makes sense.
1 advisory spot left this month.
- Designed for 10 to 200 staff service businesses
- Workflows, not prompts
- Practical implementation, not workshops
- No random tool stack, just what your business needs