Confidential · Prepared after our call on 7 June

Heath × APG — the audit, where it fits, the proof

A summary of the call, where AI actually fits in a high-touch advisory firm like yours, and the closest case studies from our audit library — so you can review at your pace before coming back to me.

Heath Hebenton · Financial advisory · Sydney · 31-min discovery · 7 Jun 2026

The picture from the call

Captured from your own words so this picks up exactly where the call left off.

  • The 4,000-name list gathering dust. Sourced via a paid service (~$6K/yr), 500 names added monthly, contacts that have been promoted or moved roles — with LinkedIn, sometimes email, sometimes mobile. You tried manual outreach early on and abandoned it. “It’s just sitting there gathering dust.” This is the headline opportunity.
  • You don’t want to hire another person. Your words: “I’d rather spend a bit more money on AI and not… if I can get some of those real mundane tasks that can be done by AI, rather than having an employee on staff that is going to get sick, take holidays, not get the work done.” AI as headcount-replacement is the framing that fits your business, not AI as marketing channel.
  • You’re skeptical of the noise. “There’s no meat on the bones… everyone’s talking about what it can do, but no one’s done it.” Fair. This whole document is the meat.
  • Your business is referral-driven and high-touch. All new business currently comes through accountants, mortgage brokers and existing clients. You respond same-day. You’re selective. The audit won’t try to turn this into a volume operation — it’ll keep that intact and add a second, automated lead source underneath it.
  • You’re already exploring AI cautiously. File notes, the occasional document audit via Copilot, monday.com being implemented for workflow. Good foundation — nothing locked in that we’d have to undo.
  • Mass marketing is off the table. No Facebook ads, no broad funnels. You don’t want tire-kickers. We won’t scope work there.

The 4,000 names you already have, personalised one by one

This is the use case the audit is built to scope first — because it hits both your pain points at once: the list isn’t being worked, and you don’t want to hire someone to work it. The focus is on getting value from your existing list, not building you a cold-email-agency-style volume machine.

What we’d build for this specifically

AI-personalised outreach across email and LinkedIn

For each name on your list, an AI workflow that:

  1. Enriches the contact from their LinkedIn profile and company website
  2. Checks them against your ICP filter so you only ever look at genuine prospects
  3. Writes a personalised email referencing their actual role, recent move, and what your firm does for people in their situation — you review and send on your existing cadence
  4. For LinkedIn: drafts a personalised connection request and first DM. LinkedIn doesn’t allow mass-blasting — bot-like activity gets accounts flagged or banned — so this stays one-to-one quality work, AI-drafted rather than auto-sent at volume
  5. Once they reply on either channel: automated triage pulls their context, drafts a suggested response, and routes the real conversation to you

You stay in the loop where it matters — the actual conversation, the relationship. The repetitive personalisation and triage work disappears.

~4,000
Names ready to work right now
+500/mo
Added by your existing data source
1 client/yr
Pays for the list 10× over (your own words)

Three steps, in order

No big build up front. The audit comes first, then you decide what to implement.

STEP 1

The audit

For a small team like yours, this is 1–2 structured conversations — mostly with you. We map your current workflow and find every spot AI can lift weight.

STEP 2

The priority matrix

Every opportunity ranked by impact vs effort. You see exactly what’s cheap to build, high-impact, and worth doing first.

STEP 3

Phased build

We build the highest-value, lowest-cost item first as proof. For you, almost certainly the outreach pipeline. It works, you see the return, 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.

1

Foundation — is your data AI-ready?

The 4,000-name sheet, monday.com records, client files. We check the state and what needs cleaning up before AI can use it — especially the list, since enrichment quality drives reply rate.

2

Systems — can your tools connect?

monday.com, your email/inboxes, LinkedIn. We confirm what talks to what so AI can move data through cleanly — no manual copy-pasting from Sheet to inbox.

3

Intelligence — where AI actually goes in

The outreach engine, lead enrichment, response triage. For an advisor, this is also where we’re explicit about what AI shouldn’t touch: the client advisory conversation itself.

Money-back guarantee on the audit

If the audit doesn’t find recoverable waste worth a multiple of the audit cost, you get a full refund and keep the deliverable. 17+ audits delivered, zero refunds to date. Specifics on the audit price + the guarantee multiple in my reply email — happy to size them to your team rather than quote off-the-shelf.

A real client, on camera

Different industry from yours — but Tom is the only client we have to date who’s come on camera by name. Useful as proof the methodology is real and people are happy with it.

Real client · named testimonial

“Above and beyond”

Tom Fay · Founder, T5 Football
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. A founder buried in admin instead of running the business. The kind of pattern the audit surfaces in any small operator-led firm — including yours.
~1,560 hrs/yr
Recoverable
60–75%
Of revenue eaten by founder admin

Five more from our audit library

Anonymised under NDA. Ranked by relevance to a small relationship-driven business with an unworked outbound list. The #1 below is the direct mirror of your 4,000-name situation.

#1 · A multi-office sales operation
15,200 hrs/yrrecoverable · $958K waste
What the audit found: 2,987 contacts in the CRM with zero follow-up. Another 1,100 unfollowed sales opportunities in a separate pool. Owner’s words: “thousands in there that don’t have any follow-up comments.” No call tracking. No outcome tracking. 200+ Zapier automations held together with string. Sound familiar?
AI opportunities mapped
Automated nurture across the unfollowed contacts; speed-to-lead SMS within 60 seconds; AI qualification of who’s actually worth a human reaching out to; outcome tracking by source.
How it maps to you: the direct mirror of your 4,000-name list. Different industry, same shape: a real, valuable list of contacts going untouched because the manual work is too painful. The fix is the same outreach pipeline I described above — AI doing the personalisation and the first move, you stepping in when there’s a real conversation to be had.
#2 · A founder-led professional services firm
~1,160 hrs/yrrecoverable · $93K waste
What the audit found: classic founder bottleneck. The business was capped at 1–2 new clients at a time because each one needed 6–8 weeks of intensive discovery only the founder could do. Manual reporting. QA breaking down whenever the founder got busy. A founder personally answering DMs and emails for every client because no one else had the context.
AI opportunities mapped
AI-assisted discovery from call transcripts; auto-generated reporting; AI-assisted email/DM handling — freeing the founder from the front line so they can take on more without burning out.
How it maps to you: same shape as a small advisory firm. The relationship work has to stay yours — the wrap-around admin and the outbound front-end doesn’t. AI lifts the operational layer so growth doesn’t mean another hire.
#3 · A field-team operation with no activity logging
~7,100 hrs/yrrecoverable · $104K waste
What the audit found: 4 staff in the field with zero CRM activity logging — “they do not want to do it.” The owner spent an entire weekend manually qualifying 150 leads himself because the team hadn’t. 40 of the 150 leads were worthwhile but were left after one voicemail.
AI opportunities mapped
AI auto-qualification of inbound leads (eliminates the owner-doing-weekend-work pattern); a 60-day no-activity churn alert; reminders that surface what actually needs a human, not what doesn’t.
How it maps to you: “the owner ends up doing the qualifying because no one else does” is universal. Replace that with AI doing the first sweep across your 4,000 names and surfacing only the ones worth your time.
#4 · A high-volume customer-onboarding business
~3,500 hrs/yrrecoverable · $253K waste
What the audit found: 300–400 new customers per year on a fully manual stack. A long tail of inquiries that never got followed up — ~50% of converters had inquired in earlier months with no nurture touching them at all. A single automation recovered $47,923/yr of missed revenue — built in half a week.
AI opportunities mapped
Automated nurture for past inquiries; instalment tracking; onboarding automation. The standout pattern: one well-chosen AI automation can pay for the whole audit on its own before anything else is built.
How it maps to you: the “old leads still convert” lesson. Your 4,000-name list has names going back to January — some of those will still be in market, just slightly later than the moment they were added.
#5 · A multi-team services business
~2,200 hrs/yrrecoverable · $120K waste
What the audit found: the owner was personally doing 28 hrs/wk of work that didn’t need them — “it takes me between three and five hours a day to get it done.” All workflow knowledge lived in their head. Lead response sat at 1.5 days when speed-to-lead is what closes.
AI opportunities mapped
Rules-based AI for the owner-only work; CRM-driven lead pipeline that responds inside minutes, not days.
How it maps to you: when (not if) you start working the outreach list and replies start coming in, speed-to-lead matters. A reply at 3am gets an automated, on-brand acknowledgement inside 60 seconds while you sleep; the proper conversation happens when you’re awake.
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 you’d receive.

Explore the live demo →

Piece by piece. Never one big bill.

You stay in control of spend at every step. Especially relevant for a small operator-led firm — no commitments that hurt if a single piece doesn’t land.

Next step — come back when you’ve had a read

No pressure on timing — take the day or two you mentioned. When you’re ready, reply to my email with thoughts, questions, or a yes on the audit and I’ll come back with audit-price, the exact guarantee multiple, and the first slot.

If anything in here sparks a question before then, send it through — happy to answer one at a time over email.