In-House AI  ·  Hire the engineer, not another subscription
$4,800/mo AUD (ex GST)  ·  3-month minimum  ·  5× value or free Month 4

Stop trying to learn AI. Hire an in-house AI engineer who ships.

Every hour you spend prompting and debugging is an hour you're not doing the work that pays you. In-House AI is a partnership between Mark Kentwell (3× REB Australian Principal of the Year) and Andrew Herbert (Remap AI, backed by Private AI) — a done-with-you AI engineer embedded inside your business, building the stack MK runs at Presence.

$500K–$50M turnover Australian businesses. Ships in Month 1. Backed by 3× REB Principal of the Year, 8+ years AI delivery via Remap AI, and Private AI infrastructure.

1 project
shipped per month part-time · 2–3 full-time
14 hrs
saved per team member per week on average by Month 1
$150K
Australian full-time hire cost avoided — same output, quarter the price
$14,400
total 3-month commitment · versus a $150K annual hire
Book a 15-min fit call Or get the free AI Roadmap Guide
▼ Watch the 12-minute AI Engineer explainer first
Watch first · 12 min · Founder-to-founder

What is an AI engineer — and how do I actually hire one?

The four hiring models · Real Australian and US dollar figures · $75K blowout rebuilt for a fraction · The four-question filter

Backed by
The stack — currently and honestly

This is the operating system,
not a list of trending tools.

Most founders are picking the wrong AI tool first, and it is costing them weeks. What follows is not what's trending — it is what actually runs the business every day. Six layers, all tied together, deployed in the correct order, and connected to real revenue.

"I'm not just going to tell you what's trending. I'm going to tell you what's actually working inside a $15 million company that has to keep the lights on too."

The Presence / In-House AI Stack SIX LAYERS · ONE OPERATING SYSTEM 01 — VOICE INPUT + DAILY RHYTHM Founder + team dictate context, decisions and updates. The stack listens all day. 02 — CLAUDE + OPENCODE (BUILD LAYER) The engine that thinks, writes, codes and orchestrates. A small set of complementary tools around it. Nothing else needs a seat at the table. 03 — HOSTED AGENTS · PRIVATE AWS Agents live in our own private cloud. IP protected. No leakage. 04 — IN-HOUSE LIVE DASHBOARDS Every online activity visible. No end-of-week scramble. 05 — BUSINESS OPERATING SYSTEM (BOS) The whole team works to it. Updated by voice. Daily rhythm. Everyone sees the same picture. 06 — RAW-TO-READY CONTENT PIPELINE Talking-head footage in. Publish-ready short-form out. Distribution + attribution baked in.
Layer 02 · Build engine
Claude + OpenCode
Claude is the operating layer — thinking, writing, planning. OpenCode is the build surface for the deep, technical work. Same engine, two purpose-built surfaces. Small set of complementary tools around them. Nothing else earns a seat.
$33/mo per user · scaled by role
Layer 03 · Hosted agents
Private AWS environment
Agents that need to touch our data live in our own AWS environment. IP protected. Auto-delete where relevant. If a frontier provider goes down or changes terms, the router just switches and nobody notices.
Different horses for different courses
Layer 04 · Live visibility
In-house live dashboards
Every online activity — listings, appraisals, agent performance, ad spend, pipeline — visible in real time. No end-of-week scramble. No data entry. Principals see the truth without asking for it.
Truth, on tap
Layer 05 · The team layer
Business Operating System (BOS)
The whole team works to it. Updated by voice throughout the day. A daily rhythm — huddle, decisions, changes — flows into it and comes back out as clarity for everyone else. The system holds context so people don't have to.
Voice in · clarity out
Layer 06 · Content
Raw-to-Ready pipeline
Talking-head footage goes in. Transcript, hook detection, TikTok-style captions, brand-consistent overlays, all aspect ratios rendered. Cross-posted to every platform via one publisher. Full attribution, back to source.
One recording · every platform
Layer 01 · The founder
Voice input + daily rhythm
The stack is not headless. It is fed by a real founder and a real team, on a daily rhythm, with real customer context. That is what makes it defensible. Anyone can rent tools. Very few operate a rhythm around them.
Real customers · real pressure · real numbers
Outcomes — what this actually unlocks

Fees go up. Collaboration goes up.
Client satisfaction goes up. Learning compounds.

This is the honest payoff. Not aspirational — measurable, in a live business, right now. Every outcome below has a real example or metric behind it.

↑
Fees go up
When the operating system does the drudgery, your team spends their hours on the work clients pay a premium for — strategic advice, negotiation, presentation. Presence's average selling agent fee has moved up in each of the last three quarters against a flat industry benchmark.
Proof · Presence agent fees ↑ three quarters running
⇄
Collaboration goes through the roof
A single BOS + live dashboards means no one is guessing what anyone else is doing. Weekly hand-offs that used to take three meetings now happen in one huddle plus an update in the system. Meeting load is measurably down.
Proof · Internal meeting hours ↓ ~30% since BOS rollout
★
Client satisfaction jumps
Faster responses, better-timed updates, fewer dropped balls. The voice agent picks up after hours when most agencies are silent. Every touchpoint is briefed by real context, not "I'll get back to you." Referral rate is climbing quarter on quarter.
Proof · Referral share of new listings up materially YoY
∞
Learning speed compounds
Every new skill, playbook, and correction gets captured once and available to everyone forever. New hires ramp on the same operating system a five-year veteran is using. Institutional knowledge stops walking out the door.
Proof · Onboarding time to productivity ↓ meaningfully
The compounding loop VOICE → SYSTEM → TEAM → CLIENT → BACK TO VOICE STEP 01 Voice input STEP 02 BOS update STEP 03 Dashboards STEP 04 Team action STEP 05 Client outcome Signal from client → back into voice input → the loop compounds
Full disclosure

In-House AI is a partnership. Here is exactly what that means.

The operator partner: Mark Kentwell — founder of Presence Real Estate Group, third eight-figure company, 3× REB Australian Principal of the Year. I run the business the stack is being built inside. I am not an AI engineer.

The engineering partner: Andrew Herbert — founder of Remap AI, 8+ years of AI delivery, EO Global Workshop Host. Andrew builds it. He also runs the delivery panel that stands behind every specialist we place inside a client business.

Backed by: Private AI — the infrastructure partner providing the private hosted model layer that lets client agents live in a protected AWS environment, with full IP control and no leakage. This is what makes "your own AI engineer" defensible instead of another SaaS rental.

I've invested time, consultancy, and I do have a commercial arrangement with Remap AI under the In-House AI banner. The education stays 100% free either way. If you want the stack without the partnership, go DIY — the free roadmap guide at the bottom of this page shows you the same sequence. If you want it built for you, book a call.

Why hire an AI engineer

Every hour you spend prompting is an hour
you're not doing the work that pays you.

You can go broke trying to learn AI while neglecting the business that funds your life. Or you can hire someone to do the building for you. Here's the honest math — the same math we ran before making the call ourselves.

The buyer's P&L — drawn on the page

Take a real Australian principal doing $850K GCI. Team of three plus a PM. The four highest-impact AI initiatives in-house AI ships in Month 1–3, valued line by line:

Initiative Annualised value
Buyer follow-up automation — recovers 1–2 listing conversations per quarter $70K–140K
Listing content workflows — 14 hrs/week saved across the team at $200/hr $145K
Voice agent — 24/7 leasing / enquiries — captures after-hours leads, cuts PM interrupts $60K–90K
Live dashboards — pipeline, activity, market — end-of-week scramble eliminated, principal time back $40K–60K
Total identified in Month 1 roadmap (mid-band) $385K–$435K

Your commitment: $14,400. Value identified: $385K+. That is 26×.

$4,800/mo × 3 months = $14,400 total commitment. Our 5× threshold on that commitment is $72,000 of identified value. The example above clears it by an order of magnitude — and this is a real principal band. Not the biggest agency in Australia, not the smallest.

If your Month 1 roadmap does not identify at least 5× — we work a free Month 4 after your programme ends. You lose nothing. We keep going at our cost until the value is undeniable.

$14,400 commitment
→ $72,000 threshold (5×)
→ $385K+ identified (this example)
→ 26× ROI, before Month 2 starts
Our commitment to you

We're so confident in the roadmap,
we'll work a fourth month for free if it misses.

★ The Grand Slam Commitment
Sign up for 3 months. If the Month 1 roadmap doesn't identify 5× your monthly investment in unlocks — we add a free Month 4.

You pay for three months. That's the commitment. At the end of Month 1, your specialist presents every initiative on your roadmap with a dollar value attached — recovered listings, saved hours, reduced costs, or enterprise value created. If the total doesn't reach 5× your monthly investment, we keep building into a free fourth month after your programme ends. You lose nothing. We keep going at our cost until the value is undeniable. We've never had to honour this. Not because the bar is low — because the process works every time.

01
You pay 3 months as committed
The three-month programme runs in full regardless. Month 1 is the roadmap. Months 2 and 3 are the build. You get everything you signed up for.
02
Month 1 roadmap is mapped to dollars
Every initiative scored and valued before Month 2 begins. Solo threshold: $24,000 in identified unlocks. Team threshold: $42,500. Line-by-line. No hand-waving.
03
Miss the threshold — free Month 4
If the roadmap doesn't hit 5×, we add a free month of AI engineering after Month 3. Not a discount. Not a credit. A full additional month of specialist time, on us.

The unlocks are identified and calculated in the roadmap — not a promise to wait and see. You know what's available before Month 2 starts. And we've never had to add Month 4.

The offer — nothing hidden

The dream outcome. The proof it works.
The reversal on the risk.

Everything on the page so far leads here. This is the offer stack — the four pieces every Grand Slam offer needs, all four visible, none of them buried.

01 · Dream outcome
An in-house AI engineer, shipping projects into your business, from Week 2.
Not a subscription. Not a course. Not another SaaS tab. A vetted engineer partnered with an experienced operator, embedded inside your business, building things you own.
Yours to own · not to rent
02 · Likelihood of success
This is the stack running Presence. Same partners. Same playbook.
You're not the first test case. Every layer on the page is live inside a $15M+ real estate business right now, run by a 3× REB Principal of the Year. The methodology is battle-tested where it matters.
Proven · at a real P&L · at scale
03 · Time delay
Month 1 roadmap. Month 2 build. Value identified before you commit to Month 2.
You don't wait 90 days to find out if it worked. Every initiative is scored and valued in Month 1. You approve the build. Then it ships one to two projects per month for the rest of the programme.
Fast · sequenced · no drift
04 · Effort and sacrifice
You don't code. You don't manage. You approve, review, and get on with your business.
Our specialist works to your roadmap inside your tools. Andrew's delivery panel stands behind them. You focus on the calls and listings that pay you. That is the whole point.
You stay the operator · we build the system
What's at stake

This isn't about replacing people.
It's about becoming hyperproductive.

The agencies getting ahead right now aren't cutting headcount. They're turning their existing team into a force that operates like it's three times the size. Here's what that's worth — and what waiting costs.

What's available to operators
who move now

Every number below is recoverable through the initiatives we build. One at a time. In the right order.

$35K+
average commission on a residential sale in major Australian markets — recovered from buyers you're currently losing to faster-responding competitors
14 hrs
saved per agent per week through automation — equivalent to one full day returned to revenue-generating activity every week
30–40%
cost reduction achievable in property management operations through AI-assisted triage, maintenance automation, and tenant communications
3 of 4
finance referrals through an integrated system get a better deal on price, time, or terms — creating a recurring revenue stream from your existing buyer relationships
$2.5B+
enterprise value trajectory being built at Presence Real Estate using exactly this infrastructure — proof of concept at scale, in a real agency, operating right now

What staying still actually costs

⏳
The window is closing. AI in real estate is a land grab right now. The agencies building infrastructure in 2025 and 2026 will be structurally ahead by 2027. After that, it becomes table stakes — and the advantage is gone.
📉
Your database decays daily. Every buyer in your CRM who doesn't hear from you in a structured way is a listing conversation gifted to a competitor. Manual follow-up can't keep up. AI can.
⚡
Speed is the new trust signal. Buyers now judge an agency's credibility by how fast and how relevantly it responds. The agency with AI infrastructure responds in seconds. Yours responds when someone has time.
🏗️
Your business value is stuck. An agency that runs on principal effort has no enterprise value above its current revenue. An agency with AI operating systems, documented workflows, and a buyer database has a multiplier. That's the asset you're building — or not.
🔄
Your team hits a ceiling. Juniors don't scale the way you hoped because the systems aren't there to leverage them. AI infrastructure changes that. It's what makes a three-person team perform like six.
Scaling Up · Verne Harnish

People. Strategy. Execution. Cash.
In-House AI plugs into all four.

If you run a Scaling Up rhythm — Rockefeller Habits, One Page Strategic Plan, quarterly Rocks — this is the layer that makes the plan actually execute. Presence is on the Scaling Up methodology. So is the playbook.

01 · People
A players multiplied
Your A players stop spending 40% of their week on things software should have done. Their leverage compounds. Juniors ramp on the same operating system a veteran uses — institutional knowledge stops walking out.
Bottleneck removed: talent friction
02 · Strategy
One Page Strategic Plan, executed daily
The Business Operating System is voice-updated on the daily huddle rhythm. Rocks, KPIs, priorities — all in one place, all visible, all connected to the dashboards below.
Bottleneck removed: strategic drift
03 · Execution
Rockefeller Habits, but with real data
Live dashboards mean the meeting rhythm is not a guessing game. Cascading messaging. Priorities visible. Metrics that matter — updated in real time, not end-of-week reconstructed.
Bottleneck removed: reporting lag
04 · Cash
Cash conversion cycle, tightened
Faster follow-up. Faster invoicing. Fewer dropped balls. AI agents shortening the loop between service delivered and cash in the bank — the single lever most operators forget to pull.
Bottleneck removed: cash lag
The filter every initiative passes

We only build things that pass
all three lenses.

Before anything goes on your roadmap, it passes through three questions. If it doesn't answer yes to at least two of them clearly, it doesn't get built. This keeps the programme sharp — and keeps the commitment intact.

01
Does it make me more money
or save me more money?
Every initiative has a dollar value attached — recovered listings, saved hours, reduced admin cost, or improved conversion rates. If we can't calculate it, we don't build it first.
Example: Automated buyer follow-up recovers 1–2 listing conversations per quarter that would otherwise go cold.
02
Does it add customer value
or enterprise value?
Does the client experience get better — faster responses, more relevant communication, fewer dropped balls? And does the business become more valuable as a result of this being built?
Example: AI-assisted listing presentations with pre-qualified buyer data increase vendor confidence — and demonstrate a systematic edge your competitors can't replicate manually.
03
Does it make
my life better?
Growth that costs you more than it returns isn't growth. Every initiative either gives you time back, reduces cognitive load, or removes a task your team dreads. If it adds complexity without return, it's not going on the roadmap.
Example: Automated market reports sent on a schedule mean you're never scrambling to write personalised updates on a Sunday night.
The people behind this

Built by operators
who've done the work.

Not a tech company that figured out real estate. A real estate business that figured out AI — and productised what works. Together.

Mark Kentwell, Founder of Presence Real Estate Group and Nexr
Mark Kentwell
Founder, Presence Real Estate Group & Nexr  ·  PropTech Investor  ·  Strategic Partner
Third eight-figure company. Building Australia's first demand-side pipeline for real estate — a customer-first Property Concierge model scaling with AI toward $250M enterprise value. Founder of Presence Real Estate Group incorporating the Nexr operating system. Backed by two government grants and growth funding for the operating system being built at Presence and Nexr. Active PropTech investor, PieLab advisory board member, and venture capital advisor — with front-row visibility into what's coming before the rest of the industry sees it.
3× REB Australian Principal of the Year 2× REB Australian Thought Leader of the Year Presence Real Estate Group · Nexr 2× Government Grants PieLab · PropTech investor $250M EV target
Andrew Herbert, Founder of Remap AI and engineering partner in In-House AI
Andrew Herbert
Founder & AI Strategist, Remap AI  ·  Engineering partner in In-House AI  ·  backed by Private AI  ·  EO Member
Background started in Defence. A decade building businesses across property, consulting, and tech. Founded Remap AI after seeing firsthand how smart systems create real leverage — and how rarely they're deployed in the right sequence. Operators first, tech second. Eight-plus years leading Remap AI in designing and implementing practical AI tools for mid-sized businesses. The AI engineer partnered with MK under the In-House AI banner — and the delivery panel behind every specialist placed into a client agency. Private AI infrastructure sits underneath every deployment so client data and IP stay on client-controlled cloud.
Remap AI · Founder 8+ years AI delivery Defence background EO Global Workshop Host AFR Fast Starter Top 10 Startup to Watch 2023 Backed by Private AI
What the industry says

Voices the industry
actually listens to.

⚠ PLACEHOLDER — These are example formats. Replace with real photos and confirmed quotes before launch. Two to three voices backing Andrew + two to three backing Mark. Named, photographed, attributed.
Backing In-House AI & Andrew Herbert
?
[Andrew Testimonial 1]
Title · Organisation — AI, tech, or PropTech voice
★★★★★
"Replace with a real quote — specific outcome, number, or transformation. Named, attributed, with photo."
[ PLACEHOLDER — confirm with Andrew before launch ]
?
[Andrew Testimonial 2]
Title · Organisation
★★★★★
"Replace with a real quote from a named operator who speaks to results delivered, trust built, or a specific capability change."
[ PLACEHOLDER ]
?
[Andrew Testimonial 3]
Title · Organisation
★★★★★
"Replace with a real quote. Ideal: agency principal or business owner who has used In-House AI and can speak to tangible outcome."
[ PLACEHOLDER ]
Backing Mark Kentwell & Presence Real Estate
?
Tom Panos
Australia's #1 Real Estate Coach
★★★★★
"Replace with Tom's confirmed quote — something that speaks to Mark's AI investment, Fishing Upstream, or the operating infrastructure at Presence."
[ PLACEHOLDER — request real quote ]
?
Leanne Pilkington
CEO, Laing+Simmons · Former REINSW President
★★★★★
"Replace with Leanne's confirmed quote — customer-first philosophy, the industry transformation, or the seriousness of what Mark is building."
[ PLACEHOLDER — request real quote ]
?
Ainsley Driver
Founder, Go Bright · PropTech Operator
★★★★★
"Replace with Ainsley's confirmed quote — speaks to the infrastructure investment, the AI commitment, or what this means for the industry."
[ PLACEHOLDER — request real quote ]
Who this is for

You've moved past exploring AI.
You want someone building inside your business.

This is not a starter package. It's for real estate operators who can feel the ceiling forming — and want to break through it with permanent infrastructure, not another subscription that adds to the noise.

🏢
Independent & boutique agencies
Real processes worth automating, but no dedicated tech team. An embedded specialist delivers enterprise-grade AI capability without the overhead of a full hire.
📈
Principals doing $500K–$2M+ GCI
Already winning listings and growing market share. Beginning to feel yourself become the bottleneck. The business still relies too heavily on you. That's the exact problem this solves.
🔗
Franchise groups & networks
Managing AI adoption across multiple offices. Need specialist capacity to build shared tools, standardise workflows, and drive consistent results at scale without principals reinventing the wheel in every office.
The conversation we keep hearing
"I'm doing well, but I can feel the cracks forming. Growth is happening — but life is shrinking. If I don't change, I'll win the business and lose my life."
You've already tried
Video market reports and content factories
CRM tools and SaaS platforms as point solutions
Script-heavy coaching built around dialogues
Portals as the centre of the business
What you need isn't another tactic. It's a coherent operating system — built to your business, in your tools, in the right order.
Two paths in

Pick your lane. Learn fast. Apply now.

Two paths — one for real estate operators, one for operators of any other kind. Two levels each — Beginner and Intermediate. Pick where you're actually at. Skip the theory. Ship real projects into your real business.

Two paths · Two levels · One outcome SHIP REAL WORK INTO YOUR REAL BUSINESS PATH A · REAL ESTATE OPERATORS BEGINNER Your first AI wins in RE → Claude for listing prep → Vendor comms + follow-up → Draft market reports fast → Content pipeline basics Outcome: 5+ hrs/week back, week 1 INTERMEDIATE Build the RE operating system → CRM + portal + comms wired → Hosted agents on your data → Live dashboards for principals → Voice-updated BOS Outcome: 2–3× listing appts by end PATH B · NON-REAL-ESTATE OPERATORS BEGINNER Your first AI wins as an operator → Claude for daily ops + docs → Inbox + admin triage → Sales content in your voice → Personal brand content system Outcome: 8+ hrs/week back, week 1 INTERMEDIATE Build the ops operating system → Hosted agents on your data → Live dashboards by function → Voice-updated BOS → Raw-to-Ready pipeline Outcome: leadership meeting load ↓ Two levels each · pricing per intake · beginner sits Level 1, intermediate leaves with a live system
Path A · Real Estate Operators
For principals, selling agents, PM leaders and franchise heads
If you sell, list, lease, manage or lead property people — this is your lane.
Level 1 · Beginner
Your first AI wins in real estate
  • Claude set up as your daily engine — listing prep, vendor letters, buyer follow-ups, market reports
  • The four-question filter for every project — money, client value, safety, effort vs impact
  • The one-page RE content system — Raw-to-Ready basics for listing videos, sold posts, testimonials
  • Live examples from Presence — real listings, real numbers, no theory
Outcome: 5+ hours per week back in Week 1. First revenue-linked automation live by Week 2.
Level 2 · Intermediate
Build the real estate operating system
  • CRM + portal + comms wired end-to-end — the Fishing Upstream methodology in your business
  • Hosted agents on your own data in a private AWS environment — buyer nurture, market intelligence, listing prep
  • Live dashboards for principals — pipeline, appraisals, agent performance, no end-of-week scramble
  • Voice-updated Business Operating System — the whole team on the same page, every day
Outcome: 2–3× more listing appointments from your existing buyer pipeline by end of programme.
Pricing per intake · founder-direct cohorts · limited seats each round
Path B · Non-Real-Estate Operators
For founders and operators in professional services, trades, health, product, agency and beyond
If your business isn't real estate but you want the same operating system — this is your lane.
Level 1 · Beginner
Your first AI wins as an operator
  • Claude set up as your daily engine — docs, ops, sales content, inbox triage, admin
  • The four-question filter — the same filter, applied to your business
  • Personal brand content system — Raw-to-Ready adapted for your topic and audience
  • Live examples across industries — what actually ships inside real operating businesses
Outcome: 8+ hours per week back in Week 1. Founder time redirected to the work that pays.
Level 2 · Intermediate
Build the operator's operating system
  • Hosted agents on your data in a private AWS environment — customer intelligence, sales enablement, ops
  • Live dashboards by function — cash, sales, pipeline, delivery, all in one view
  • Voice-updated Business Operating System — leadership rhythm, huddles, decisions, all captured
  • Raw-to-Ready pipeline for your personal brand — one recording, every platform, full attribution
Outcome: leadership meeting load down materially, real-time visibility across the business.
Pricing per intake · founder-direct cohorts · limited seats each round
What gets built

Practical AI, deployed inside your agency.

Every initiative passes the three lenses before it goes on your roadmap. High impact. Low effort first. Built to your CRM, your workflow, your team.

🏡
Lead Nurture Automation
Automated follow-up sequences that keep buyers and vendors engaged — across email, SMS, and portal enquiries — without agents managing it manually.
✓ Makes money  ✓ Customer value
📝
Listing Content Workflows
AI-generated property descriptions, social posts, and email campaigns drafted in your agency's voice and ready to review in minutes, not hours.
✓ Saves time  ✓ Better life
🔗
CRM Integration & Automation
Connecting your CRM with portals, inbox, and comms tools so data flows automatically. Rex, ActivePipe, HubSpot — familiar territory, properly wired up.
✓ Enterprise value  ✓ Saves time
🤖
AI Agents for Property Management
Agentic systems that triage maintenance requests, auto-respond to tenant queries, and escalate only when human input is genuinely needed.
✓ Saves money  ✓ Customer value
📊
Pipeline & Performance Reporting
Automated dashboards giving principals real-time visibility across listings, appraisals, and agent activity — without manual data entry or end-of-week scrambles.
✓ Enterprise value  ✓ Better life
🧠
Knowledge & Document Intelligence
Private AI search over your agency's contracts, policies, compliance docs, and past deals — instant, accurate answers without digging through files or waiting for the PM.
✓ Saves time  ✓ Customer value
The only sequence that works

Start with the roadmap. Then build.

Every agency that tries to skip straight to building ends up rebuilding. The sequence is the same every time — and it's what keeps the guarantee intact.

1
Month 1 — always first
AI Roadmap
Ten initiatives mapped, ranked, and scored against the three lenses. Specialist recruited and briefed. You walk out with a plan — not a proposal.
2
Month 2 → ongoing
Specialist Builds
One to two initiatives per month, in impact/effort order. Inside your tools, your CRM, your workflow. You focus on calls and listing presentations.
3
Month 3 + quarterly
Review & Optimise
Full roadmap re-alignment at month three. What's working, what's next, what's changed in AI since you started. Quarterly from there.
4
Ongoing
Your Agency Runs Itself
The compounding effect. Each initiative builds on the last. By Month 6, your agency has infrastructure your competitors can't replicate without starting from scratch.
What's behind every specialist

Your specialist is backed by
an entire delivery panel.

Specialist Panel Reachback

Complex problem? Your specialist pulls in the right expert. The panel covers the full delivery stack — every engagement has access to all of this without extra billing.

Business AnalystQA EngineerProject ManagerSenior DeveloperML EngineerAI ConsultantUI/UX DesignerCompliance & Security

Continual Learning & Updates

AI moves faster than any static engagement can keep up with. In-House AI actively drives your specialist's ongoing education — new models, new tools, new real estate applications — throughout the programme.

Ongoing trainingNew model updatesReal estate-specific toolsQuarterly roadmap refresh
Watch the thinking behind the stack

Two episodes that go deeper than this page can.

The stack above is the summary. If you want to hear the reasoning — the war stories, the numbers, the tradeoffs — start with these two.

Watch first · The stack episode
The most powerful AI got banned overnight — and the multi-provider fix
Why wiring your business to one AI provider is not a strategy, it is a single point of failure. Frontier + private + local — the routing pattern that stays up when one provider goes down.
5 min 19 · YouTube · FlowZone
Watch next · Hiring an AI engineer
What is an AI engineer — and how do I actually hire one?
The four hiring models (DIY, offshore BPO, done-with-you, full agency), the real Australian and US wage figures, and the $75K project blowout MK later rebuilt for a fraction — the honest founder-to-founder guide.
12 min 09 · YouTube · FlowZone
The 15-minute fit call

Book a fit call with MK and Andrew.

Fifteen minutes. No pitch, no slides. We ask about the business, you ask about the stack, we tell you whether the programme is a fit or not. If it's not, we'll tell you where to start on your own.

Is In-House AI right for your business at your current stage
What we'd sequence first if we started tomorrow
Where the $14,400 commitment would likely return the fastest 5×
Honest go / no-go — plus what to do if it's a no-go
Price is public. $4,800/month AUD (ex GST). 3-month minimum. 5× value identified in Month 1 or we work a free Month 4 at our cost.

Request a fit call

MK or Andrew personally reviews every request. Reply within one business day.

We reply within one business day. No spam. No hard sell.

Free guide — no strings

Get the AI Roadmap Guide.

The exact framework used to map, rank, and sequence an AI programme inside a real estate agency. Built for operators, not technologists. Free — no pitch attached. This is the same starting point I use inside Presence to sequence every new build.

How to identify the 10 highest-impact AI initiatives for your agency
The three lenses every initiative must pass before it gets built
The effort/impact matrix that determines the build sequence
What months 1, 2, and 3 actually look like inside a real agency
The structural failure most agencies don't see until it costs them listings
The commitment is explained in the guide. You'll see exactly how the 5× threshold is calculated — before you commit to a single dollar of the programme.

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