Confidential · Prepared after our call on 3 June

Le Mans Entertainment × APG — the audit, the proof, what we discussed

A summary for Sam to take to the Le Mans management team: what came out of the call, the closest case studies from our audit library, and a clear path to clarity on where AI fits.

Sam McKerrow + Gal Opatovsky · Le Mans Entertainment · $12–13M revenue · 43-min discovery · 3 Jun 2026

The picture for Le Mans

Captured straight from your own words so the audit picks up exactly where we left off.

  • The core problem is admin cost on the management team. Your words: “the main thing… is the cost of wages. If the management team and a lot of their admin-related work could be removed and they could be more hands-on with what they’re doing… the business runs that much more efficiently.” That’s the win we’re hunting for.
  • A 500,000-contact database with ~40,000 B2B emails sitting idle. ActiveCampaign is in there but not being used properly. Massive midweek event-sales transformation opportunity — once the closing side is also resourced.
  • The accounts team (2 people) is drowning. Huge amount of work and no AI lift on it yet.
  • The adoption problem is real. SOPs exist across every department, but “no one’s doing it, no one’s training it. Everyone just feels like they’re too busy.” Take away the busy — adoption follows.
  • The team is young and tech-savvy. Per Gal: easier adoption than at older businesses. The right thing to build is co-worker plugins they can run with a slash command, not enterprise software.
  • You’ve already started the journey. The AI Summit lit the agent concept for you — you’re not asking “is AI for us?”, you’re asking “what specifically should we build first?” Exactly what the audit answers.

Where we’d expect to find the time

Real numbers come from the interviews — but based on what was on the call, these are the obvious places to dig.

  • The B2B database (the 40K). Automated, segmented outreach to the un-touched B2B segment for midweek/corporate events — with an AI qualifier that hands hot leads to a salesperson. The biggest revenue lever in the business.
  • Speed-to-lead. When a corporate or party inquiry lands, an automated response goes out inside 60 seconds asking the missing details (date, group size, preferred package) — so leads don’t go cold while staff are on the floor. Calling within 5 minutes lifts conversion ~200%.
  • The accounts team. Invoice processing, reconciliation, supplier statement chasing — this is where AI co-worker plugins typically return the most hours per dollar for back-office teams.
  • Booking and party admin. Quote generation, party confirmations, follow-up reminders, day-of-event coordination — routine repetitive work the management layer is currently spending hours on.
  • Where AI should not be. The customer experience on-site — the actual racing, hosting, party energy — should stay 100% human. The audit will tell you exactly which bits to keep that way.

Three steps, in order

No big build up front. The audit comes first, then Le Mans decides what to implement — one piece at a time.

STEP 1

The audit

Structured interviews with the heads of each department. We map the full operation and find where AI saves time, where it creates revenue, and where it doesn’t belong.

STEP 2

The priority matrix

Every opportunity ranked by impact vs effort. Le Mans sees exactly what’s cheap to build and high-impact — with the cost of each.

STEP 3

Phased build

The highest-value, lowest-cost plugin first as proof. It works, you see the return, then you choose what’s next.

Three layers. You can’t skip one.

Most failed AI projects skip straight to the top before the two underneath are ready. The audit makes sure that doesn’t happen at Le Mans.

1

Foundation — is the data AI-ready?

The 500K-contact database, RaceFacer data, ActiveCampaign records, accounts data. We check what state it’s in and what needs cleaning before AI can use it.

2

Systems — can the tools connect?

RaceFacer, ActiveCampaign, accounting, party booking. We confirm what talks to what. Where things don’t connect, we say so plainly — no AI can move data across walls that don’t exist.

3

Intelligence — where AI actually goes in

Only once the foundation and systems are sound do the AI co-worker plugins go in — database reactivation, speed-to-lead, accounts, party admin.

4× money-back guarantee

If the audit doesn’t find at least 4× the audit cost in recoverable operational waste, we refund you in full and you keep everything we produced. 17+ audits delivered, zero refunds to date.

Tom at T5 Football — a multi-program activity business

Different industry, similar shape: family-facing activity business with kids, parents, parties, ongoing bookings, and a founder buried in admin keeping it all together.

Real client · named testimonial

“Above and beyond”

Tom Fay · Founder, T5 Football · ~600 active clients, $500–600K revenue
Tom called the work “above and beyond.” We found gaps his previous partners had missed entirely, mapped the full picture, and built a plan to move fast — delivered in a fraction of the expected timeline.
What the audit found: ~30 hours a week of manual admin on a 6-person operation. 3 hours to onboard each client by hand across four tools. Bank transfer names that couldn’t be matched to clients. 50–60 kids lost every term because re-enrolment was forgotten.
~1,560 hrs/yr
Recoverable
60–75%
Of revenue eaten by founder admin

Five more from our audit library

Anonymised under NDA. Pulled from our library and ranked by how closely each matches what Le Mans is running. Tom’s story above is the named one with video. Below: five other audits that map directly to your operation.

#1 · A multi-office sales operation
15,200 hrs/yrrecoverable · $958K waste
What the audit found: 2,987 customer contacts sitting in the CRM with zero follow-up comments, and a separate pool of 1,100 unfollowed sales opportunities. The owner’s own process map identified 19 hrs of AI-replaceable work per sale — across 800 sales/yr that’s 15,200 hours. No call tracking on the sales side (staff used personal mobiles). No referral outcome tracking. 200+ Zapier automations held together with no central marketing task board.
AI opportunities mapped
Automated lead nurture across the unfollowed contacts; speed-to-lead SMS within 60 seconds of every inquiry; referral outcome tracking; auto task assignment per package type; one-click content generation from templates.
How it maps to Le Mans: this is the 40,000 unused B2B emails story at scale. Your database is sitting there with corporate events potential waiting. The fix is automated, segmented outreach + speed-to-lead + an AI qualifier feeding the salesperson once you bring them in. Single highest-revenue lever in the business.
#2 · A high-volume customer-onboarding business
~3,500 hrs/yrrecoverable · $253K waste
What the audit found: 300–400 new customers a year on a fully manual stack — people dragged through pipelines by hand and the same data re-entered across 5 tools. 15 hrs/wk across two people on spreadsheet management alone. Revenue leaking because only ~1 in 3 customers ever got properly invoiced. A single automation recovered $47,923/yr of missed revenue and was built in half a week. No email marketing — ~50% of converters had inquired in earlier months with no nurture at all.
AI opportunities mapped
Automated invoice & instalment tracking (the $47K recovery); onboarding automation returning 22 hrs/wk; BI dashboard; automated nurture for past inquiries; CRM cleanup at scale.
How it maps to Le Mans: 500,000 contacts in ActiveCampaign but underutilized — the same shape, larger scale. Most of the manual pipeline and nurture work becomes AI doing the work and your team reviewing. This is also a textbook case study for solving the adoption problem: the team didn’t adopt the old manual system because it was painful; they adopted the AI version because it just worked.
#3 · A multi-team services business
~2,200 hrs/yrrecoverable · $120K waste
What the audit found: the owner personally built the next day’s schedule every single day, 7 days a week“it takes me between three and five hours a day” — that’s 28 hrs/wk just rostering. Another 30 minutes a day went to reformatting text messages individually to ~50 staff from a phone. Staff didn’t know if they were working until late the night before.
AI opportunities mapped
Rules-based AI scheduling engine (returns 21 hrs/wk to the owner); CRM lead pipeline; central contact database; AI-generated staff communications.
How it maps to Le Mans: the casual staffing reality. Across go-kart ops, entertainment, parties and events, you’re juggling shift coverage with lots of casuals. The same AI scheduling pattern would lift hours back to whoever currently builds those rosters by hand. Bonus from this audit: the recommended new stack was actually cheaper than what they were already paying once an abandoned subscription was cancelled.
#4 · A founder/leadership-bottlenecked business
~1,160 hrs/yrrecoverable · $93K waste
What the audit found: classic leadership bottleneck — the business was capped at 1–2 new clients at a time because each one needed 6–8 weeks of intensive discovery that only the founders could do. Process mapping took 2 full days of write-up per client. Reporting was fully manual. Quality assurance broke down whenever leadership got busy. Two team members duplicated work 3 of 5 days. A founder personally answered Facebook Messenger for every client.
AI opportunities mapped
AI-assisted discovery built from transcripts; auto-generated reporting; client-facing portal; AI-assisted Messenger/email handling — freeing leadership from the front line.
How it maps to Le Mans: directly mirrors what Sam described — the management team buried in admin instead of being hands-on. The fix is lifting the admin layer so the management team can do the high-value work the business actually needs from them.
#5 · A field-team operation with adoption issues
~7,100 hrs/yrrecoverable · $104K waste
What the audit found: staff refused to log activity — “they do not want to do it” — so zero visibility on what was happening day to day. The owner ended up spending an entire weekend manually qualifying 150 leads himself because the team hadn’t. A 4-system cross-reference was confirmed “not working”. Of 150 leads, 40 were worthwhile but staff called once, left a voicemail, then stopped.
AI opportunities mapped
AI auto-qualification of inbound leads; activity dashboard with alerts; 60-day no-contact churn alert; consolidation of disconnected systems; sales playbook generated from call patterns.
How it maps to Le Mans: the adoption problem you described — “no one’s doing it, no one’s training it”. The audit identified that the existing tools were too painful to use, so people didn’t. The fix wasn’t a new manual tool — it was AI that did most of the work automatically and only surfaced what needed a human. Adoption stops being a fight when there’s nothing to adopt.
See a finished audit

Walk through a real audit portal

A complete sample — process map, findings, priority matrix and full plan. Different industry, simulated data, but exactly the deliverable Le Mans would receive.

Explore the live demo →

Piece by piece. Never one big bill.

Le Mans stays in control of spend at every step.

The audit, summarised

All figures in AUD. The audit is the only thing Le Mans commits to now — everything else is scoped after the priority matrix lands and approved one plugin at a time.

Audit investment
$10,000 AUD
4× money-back guaranteed
Timeline
1–5 weeks
Pace set by team availability (last one was 1 week)
Plugin range
$6K–$20K
Per plugin, scoped post-audit
Lock-in
None
Take the blueprint to anyone, or build with us
Australian R&D tax incentive

Up to 43.5% back from the Australian government

Most of what we build at Le Mans is likely to qualify under the Australian R&D tax incentive. That means a meaningful portion of the audit and plugin investment can come back. Worth raising with your accountant when you scope the build phase.

43.5%potential return

APG by the numbers

Public proof of the work we do day-to-day. Where Adam (APG’s founder) teaches the same AI material we’ll bring into Le Mans — in public, every week.

YouTube
200K+
Views teaching AI
Public content showing exactly how we build with AI — the same workflows we’ll bring into Le Mans.
Watch the channel →
Skool community
800+
Members in AI Builders Hub
Our paying education community. Where we teach the AI skills your team would build alongside us.
See the community →
Upwork
Top 1%
Expert-Vetted · $100K+ earned
50 five-star reviews, 100% Job Success rating, Top 1% Expert-Vetted status. The independent third-party version of our track record.
View Upwork profile →
LinkedIn
Active
Adam Goodyer · Founder, APG
Direct line to the person behind the work. Posts daily on AI implementation in Australian businesses.
Connect on LinkedIn →
Trustpilot
Excellent
Rated Excellent
Independent review platform — read every client review without us being able to filter.
Read reviews →
Audits delivered
17+
Across 8+ industries
From multi-team services to manufacturing to marketing agencies to youth sports. Zero refunds issued on the guarantee to date.
APG Software →

The fair questions a director should ask

When Sam brings this to the management team, these are the answers they’ll want.

What’s the actual risk?
$10,000 AUD with a 4× money-back guarantee. If we don’t find $40K+ of recoverable waste, you get the money back and keep the deliverables.
How much time does this take from us?
~1 hour per department head, plus a kickoff. Across the management team, maybe 8–12 hours total spread over the audit window.
Will the team actually adopt it?
This is the question we hear most — and the audit’s job is to design around the adoption problem, not against it. We build AI co-worker plugins your staff trigger with a slash command. There’s nothing to “learn” in the old SaaS sense.
Are we locked into anything afterwards?
No. You can take the blueprint to any other agency, or do nothing at all. We’d rather you choose us because of what the audit shows — not because you’re trapped.
What about staff — are we replacing people?
No. The audit’s job is to free your management team from admin so they can be hands-on — not to replace people. Bloated-team AI layoffs are an enterprise story, not a 13-person company story.
Is there government support for this?
Likely up to 43.5% back via the Australian R&D tax incentive on qualifying build work. Worth your accountant confirming when we scope plugins.
For Sam

Take this to the management team

This page is built to be forwarded. Send it to the directors, walk them through the pricing card and the “For the directors” section above, and pull up the case study that resonates most with their current pain (the database reactivation one or the management-bottleneck one usually lands hardest).

Once you’ve had that conversation, the follow-up call we tentatively booked for next Wednesday is where we scope the audit kick-off. Any questions before then — ping Adam or Roko directly.