Prepared by Andrew Herbert · AI Strategist · REMAP.ai

Out of the stone age,
into a compliant AI stack.

You said it yourself — the business is running on manual admin against an 80-person waitlist, reporting that is not fit to show anyone, and an outreach engine built from LinkedIn plugins stitched together by hand. Four projects below start closing that gap in month one — a compliant data layer that can safely hold health information, live numbers instead of ad-hoc spreadsheets, a lawful and scalable outreach engine, and an AI-assisted front door for your waitlist that does not put you at risk under POPIA or Australian privacy law.

4
Projects identified from one call
80
People currently on the waitlist, manually managed
3 mo
Minimum engagement
AU
Data held in a compliant AWS Sydney environment

We heard you

Three things you said.

We do not need to imagine the friction. You described it on the call. Here it is reflected back — because solving it starts with making sure you know we actually heard it.

You said

We’ve got 80 people on a waitlist right now, and my admin team goes through and does a whole lot of manual stuff regarding all this.

What we heardIntake and waitlist management is absorbing a disproportionate amount of headcount for work that follows the same pattern every time — which means it is automatable, but only inside a system built to handle health information correctly from day one.
You said

We’ve got reporting, but I wouldn’t say … we’ve got it like that pretty. Do you have a data layer? No.

What we heardDecisions are currently being made without a live view of the business — revenue, waitlist movement, outreach performance all exist somewhere, but not in one place, not in real time, and not in a form anyone outside finance can read.
You said

I’m in health, right? So the challenge is — we’ve got to be really careful in regards to the data.

What we heardEvery automation idea on the table — AI phone, AI chat, outreach, CRM — is being correctly held back by one real constraint: nothing gets built until it is demonstrably compliant. That is the gate everything else has to pass through first.

The difference

CHCSA, running the way
you described wanting it to.

Specific to a business like yours — health data, a long waitlist, and a lead-generation engine that has outgrown manual LinkedIn work.

Picture your 80-person waitlist sitting inside a system that triages and updates people automatically, with a human only stepping in where judgement is actually needed — not to re-type the same intake details for the hundredth time.

Picture asking a chat window “how’s this month tracking” and getting a live answer, instead of waiting on whoever built the spreadsheet.

Picture your outreach to South Africa, NZ, the UK and Canada running on a proper API-based engine instead of a Dripify login someone has to babysit — lawful under POPIA, scalable past the volumes you are hand-managing now.

🔒
Health data, actually compliantA Private AI container in an AWS Sydney environment with zero data retention, so automation work on client/patient information is defensible, not a liability.
📊
Live numbers, not ad-hoc sheetsA chat-based data layer gives you and your GM a live read on the business — waitlist movement, revenue, outreach performance — without anyone building a report by hand.
💬
Outreach that scales without risking your profileAn API-based outreach layer (replacing the Dripify/HeyReach manual loop) with a documented, lawful basis for contacting prospects under POPIA and Australian spam rules.
🤖
An AI front door for the waitlistA compliant chat/voice layer handles routine waitlist queries, escalating to a human the moment anything needs judgement — cutting your admin team’s repetitive load without touching confidential health information insecurely.

Before we go further

Where CHCSA sits
on AI readiness.

Using the same digital-readiness assessment we ran live on the call — scoring visibility, AI readiness and AEO/GEO adoption for Allied Health and Healthcare businesses.

Readiness assessment · Allied Health & Healthcare · October 2026Assessment complete

You are trailing the sector average, not behind it badly.

The general readiness band for Allied Health and Healthcare businesses sits at 70–82. On the live read we ran together, CHCSA came in roughly 11 points behind where a comparable competitor is sitting today — a gap that is closed by infrastructure, not by working harder.

No structured data layer
Reporting exists, but lives in manual spreadsheets built by hand rather than a live, queryable data layer — which is the single biggest readiness gap identified.
Outreach infrastructure is manual and fragile
LinkedIn-based prospecting (Dripify) has no API integration, meaning a human has to sit on the message dashboard to reply — the single largest constraint on scaling the recruitment side of the business.
No compliant environment for AI on health data
Every automation idea discussed on the call is currently blocked by the same gate: nothing touching client or patient information can move until there is a demonstrably compliant environment to run it in.
💡

Close these three gaps and CHCSA moves from manually-run to AI-assisted on both sides of the business — healthcare administration and recruitment — without adding headcount.

What we would build

Four projects. Running concurrently.

Month one moves on two tracks. The Private AI compliant environment is stood up immediately — the foundation everything else needs before it can touch real client data. Alongside that, your specialist initiates all four projects below from day one, typically joining within two to three weeks. Everything runs simultaneously, managed by your dedicated PM.
Project 01 · Compliance Foundation

Private AI Compliant Data Environment

A secured container in an AWS Sydney environment, running ISO 27001, GDPR, HIPAA-ready and Australian Essential Eight controls, with zero data retention into Claude. Every other project is built to run inside this environment from day one — not retrofitted later.

Every automation idea on the call becomes buildable, not blocked
Project 02 · Business Intelligence

Live Data Layer and Reporting

A chat-based reporting layer replaces hand-built spreadsheets, giving you and your GM a live read on waitlist movement, revenue and outreach performance the moment you ask for it.

Decisions made on today’s numbers, not whoever last updated the sheet
Project 03 · Outreach and Recruitment

Compliant, API-Based Outreach Engine

Replaces the manual Dripify/HeyReach loop with an API-integrated outreach system, built around a documented lawful basis for contacting prospects in each target market (Australia, NZ, UK, South Africa), so it scales past what one person can babysit on a message dashboard.

Outreach volume scales without a compliance or banned-profile risk
Project 04 · Client Operations

AI-Assisted Waitlist and Intake

An omni-channel chat layer (WhatsApp, SMS, web) handles routine waitlist and intake queries inside the Private AI environment, escalating anything requiring judgement to your admin team instead of replacing them outright.

Admin team’s repetitive load drops without a privacy incident risk

What the assessment uncovers

Four projects is where
it starts.

The four projects above are what we identified from one conversation. The AI Adoption Pathway is what happens when we look at the whole business.

In month one — running alongside the Private AI build and the four identified projects — your team completes the AI Adoption Pathway surveys. We map every friction point across both sides of CHCSA: healthcare administration and the recruitment/migration pipeline.

Andrew holds a strategy session with you at the end of week two to three. What comes out is a prioritised, ROI-ranked plan specific to CHCSA. Not a generic framework. Your plan, reviewed every quarter.

The four projects give you momentum from day one. The Pathway gives you direction for everything that follows — including whether the recruitment/migration offer becomes its own standalone product line.

Structured audit of both sides of the business, month one
ROI-ranked AI opportunity list built for CHCSA specifically
Specialist works from the plan, not from daily instructions from you
Quarterly Pathway reviews keep the work pointed at what matters most
Andrew holds the strategy session personally
12+
AI opportunities typically identified for a business your size in the first Adoption Pathway audit
1–3
Projects delivered per month throughout your engagement

Investment

Transparent rates.
No surprises.

All engagements are a minimum three-month term, billed monthly in Australian dollars. Rates are fixed for the full engagement.

Senior
Full-Time
$8,900
AUD / month · 40 hrs / week
  • Senior specialist — 5+ yrs experience
  • Full-time embedded, 40 hrs per week
  • Complex agentic and compliance builds
  • PM oversight included
  • Reachback to REMAP.ai specialist panel
  • AI Adoption Pathway initiated month one
  • Quarterly Pathway review included
  • Continual learning supported by REMAP.ai
  • Private AI environment for digital compliance — month one
  • REMAP.ai Operating Framework — month one
3-month minimum · tax exclusive
Senior
Fractional
$5,200
AUD / month · 20 hrs / week
  • Senior specialist — 5+ yrs experience
  • Part-time embedded, 20 hrs per week
  • Complex agentic and compliance builds
  • PM oversight included
  • Reachback to REMAP.ai specialist panel
  • AI Adoption Pathway initiated month one
  • Quarterly Pathway review included
  • Continual learning supported by REMAP.ai
  • Private AI environment for digital compliance — month one
  • REMAP.ai Operating Framework — month one
3-month minimum · tax exclusive
Most Requested
Standard
Full-Time
$7,600
AUD / month · 40 hrs / week
  • Specialist — 2+ yrs experience
  • Full-time embedded, 40 hrs per week
  • Workflow and agent builds
  • PM oversight included
  • Reachback to REMAP.ai specialist panel
  • AI Adoption Pathway initiated month one
  • Quarterly Pathway review included
  • Continual learning supported by REMAP.ai
  • Private AI environment for digital compliance — month one
  • REMAP.ai Operating Framework — month one
3-month minimum · tax exclusive
Standard
Fractional
$4,350
AUD / month · 20 hrs / week
  • Specialist — 2+ yrs experience
  • Active build delivery, 20 hrs per week
  • Workflow and agent builds
  • PM oversight included
  • Reachback to REMAP.ai specialist panel
  • AI Adoption Pathway initiated month one
  • Quarterly Pathway review included
  • Continual learning supported by REMAP.ai
  • Private AI environment for digital compliance — month one
  • REMAP.ai Operating Framework — month one
3-month minimum · tax exclusive

Infrastructure costs and Private AI hosting quoted separately, passed through at AWS cost plus a management fee. Full details at remap.ai/aispecialist

Begin Your Engagement

How it unfolds

From agreement to
full delivery.

A clear sequence. Every step is managed by REMAP — your involvement is focused and minimal.

Day 1

Agreement and Kickoff

You sign the engagement agreement. Billing begins. The specialist search opens immediately, and we send your team the AI Adoption Pathway surveys so that process runs in parallel from day one. We also begin standing up the Private AI compliant environment — the foundation every other project depends on.

Agreement signedSpecialist search beginsPrivate AI deployingPathway surveys sent
Week 1–2

Shortlist and Interviews

We build your panel of three matched specialists. You meet all three and make your selection. Pathway surveys are completed by your team in this window. The Private AI environment is live before any specialist starts.

3 matched candidatesInterviews completedPathway surveys completedCompliant environment live
Week 2–3

Specialist Joins · Audit Completes · Strategy Session

Your specialist joins CHCSA and initiates all four identified projects from day one. The AI Adoption Pathway audit wraps up. Andrew holds your strategy session — the full roadmap is built, reviewed together, and handed to your specialist as their expanded work queue.

Specialist startsFour projects initiatedStrategy sessionFull roadmap built
Week 4+

Full Delivery

Your specialist works from the full roadmap — the four identified projects running to completion, alongside newly prioritised opportunities from the Pathway audit. Delivery continues, reviewed and reprioritised quarterly.

Four projects completingFull roadmap in motionFirst wins shippingQuarterly reviews

Ready when you are

Sign the agreement.
We handle the rest.

You already know what’s manual and what’s at risk. The next step is simply beginning. Everything from here is managed by REMAP.

Your four commitments — that is it
01Sign the engagement agreement
02Your team fills out the AI Adoption Pathway surveys
03Meet and select your three specialist candidates
04One strategy session with Andrew

Begin Your Engagement