01
CRMInboxDriveERP
Data layerDATA▸ BUILDING
Data foundation
Live connectors, scrapes and syncs pull your CRM, inbox, drives and ERP into one clean data layer.
AI-PoweredAutomation for Your Business
Custom AI chatbots, agents, voice assistants, agentic workflows and web apps, built to take the repetitive work off your team.
VISOR MESH · 11,520 PTS · FPS --
YAW +0.0° · PITCH +0.0° · TRACKING
002 / THE AI-FIRST STACK
- 01DATA
Data foundation
Live connectors, scrapes and syncs pull your CRM, inbox, drives and ERP into one clean data layer.
- 02BRAIN
Knowledge graph + RAG
A company brain: vector search plus an entity graph, so every answer is grounded and cited.
- 03TOOLS
Integrations & MCP tools
Every system becomes a secure tool agents can call: read, write, book, invoice, update.
- 04GUARD
Security & governance
SSO, role-based access, PII redaction, guardrails, audit logs and Australian data residency.
- 05SKILLS
Skills & rules
Your SOPs, policies and brand voice codified as reusable skills every agent follows.
- 06AGENTS
Agents & harnesses
Specialist agents with memory, tools, sandboxes and evals, tested before they touch production.
- 07ORCH
Orchestrator + subagents
A planner splits work across subagents in parallel, with human approval where it matters.
- 08LOOPS
Self-running pipelines
Triggered workflows and feedback loops that measure, learn and improve, with full observability.
003 / WHAT WE BUILD
Your team gets less admin and fewer interruptions. Your clients get faster answers, any hour. Same system, two wins.
960+ more ways AI can run your business
Explore 960+ automation scenarios→004 / THE BUSINESS AFTER AI
AI enablement isn't a chatbot on your website. It's every enquiry answered while it's still warm, admin that does itself, and people who spend the week on work customers pay for.
flip the switch
MONDAY · 8:02 AM
- !47 unread emails, 9 need a reply before lunch
- !6 weekend enquiries, still unanswered, two already went elsewhere
- !3 quotes promised last week, notes are somewhere in your phone
- !A stack of supplier invoices, waiting to be keyed into Xero
- !A new starter with questions, and only you know the answers
An illustrative Monday, built from the kinds of work our systems take on.
Research~7×
more likely to qualify a lead when you reply within the hour, not an hour later
Harvard Business Review, 2011 ↗︎
Our build22 s
median time from a referral email to a review-ready Salesforce lead
Financial services client, in testing
Research+34%
more issues resolved per hour by newer staff with an AI assistant (+14% on average)
NBER, Brynjolfsson et al. ↗︎
Research4+ h
saved every week by a third of people who use AI daily at work
Federal Reserve Bank of St. Louis, 2025 ↗︎
Research25%
faster, with 12% more tasks done and better-quality work, when consultants used AI on suitable tasks
Harvard Business School and BCG, Organization Science ↗︎
Research2×
as likely to report revenue growth: Australian small businesses using AI daily vs never
Xero research, 500 Australian small businesses (a link, not proof of cause) ↗︎Research figures are averages from the studies linked, not promises for your business. We set your own targets in writing after the free call, then measure against them.
See what this looks like for my business→005 / HOW WE WORK
Built on the AI Lab Readiness Framework: first we answer should we? and can we?, then you try a working prototype before you commit to the build.
9:41
Pilot · Harbour Group
Bills
Drafted today
14
Re-keyed
0
ApprovedSee all
WWestern FixingsHardware$1,905.00✓ in Xero
NNorth Shore PaintsConsumables$642.10✓ in Xero
CCoastal TimberTimber stock$4,018.75✓ in Xero
01
Free strategy session
30 minutes on how work flows today, where AI would pay off, and what to look at first.
02
Scope & inputs
An executive briefing: scope, sponsor, the decision you need to make, and 5 to 10 candidate use cases.
03
Strategic scan
Value pools mapped against your P&L, every use case ranked on value and feasibility, risks logged against the Privacy Act 2024.
04
Evidence checks
We inspect real data samples, permissions, integrations and review workflows. What the records show, not what people say.
05
Business case & roadmap
Dollar impact per use case with lower and upper bounds, buy vs build, and a Horizon 1 to 3 roadmap.
06
Executive readout
Leadership walks through the findings and decisions are recorded live, with a review checkpoint booked.
07
A working pilot
A bounded Horizon 1 pilot at a fixed fee, human-in-the-loop. You can open it, test it and measure it against your baseline.
08
Harden & scale
Security, monitoring, cost controls and a compliance evidence pack, then the next wave of use cases on the same foundation.
09
Hand over
Your team owns it: training, documentation and reusable components. AI becomes a programme, not a project.
first we find out:
— how work really flows
— what your team needs
— what your clients need
— how work really flows
— what your team needs
— what your clients need
everything we agree
goes in writing
goes in writing
006 / SELECTED WORK
Finance, property, trades, energy and professional services. Every system keeps people responsible for the decisions that matter.
scroll through them
evidence.accura · Azure tenant
Source · p. 412 / 1,060
Reconciliation
checked in 170 ms
InvoiceAmountRemittanceBank
INV-20931$48,200.00RM-118✓✓
INV-20944$12,740.50RM-121✓✓
INV-20957$9,880.00——review
INV-20963$31,005.20RM-126✓✓
INV-20970$4,410.00RM-127Δ $40review
INV-20988$22,150.00RM-130✓✓
Fields extracted
up to 95%
Arithmetic issues
3
Citation gaps
1
Expert review
3 items need your eye
Schedule B total ≠ sum of lines
source p. 212
Remittance missing for INV-20957
source p. 418
Ref. to Appendix F not found
source p. 731
Open evidence
bills · Microsoft 365
AP workspace
Inbox
Drafts in Xero
Exceptions
Remittances
Suppliers
Supplier bills · today
Synced to Xero
Harbour Supplies$1,240.006-400 Materials✓ draft bill
Metro Hardware$312.406-410 Tools✓ draft bill
Coastal Sealants$4,018.75discount lineexception
Bayside Electrical$88.00matches #1182duplicate?
North Shore Paints$642.106-400 Materials✓ draft bill
Western Fixings$1,905.006-420 Fixings✓ draft bill
✓ Validation✓ Account coding✓ Duplicate check✓ Remittance match
Xero · draft bill
Harbour Supplies
Invoice #HS-20931
Account6-400 Materials
GST$112.73
Total$1,240.00
📎 source PDF attached
Approve bill
lead-intake · AWS Sydney
Referral mailbox · classified: LEAD
Fwd: Fwd: intro, pension transfer
From: [INTRODUCER_1]
Hi team, passing on [PERSON_2], who is looking to consolidate two UK schemes…
Hi team, passing on [PERSON_2], who is looking to consolidate two UK schemes…
Signature (image): [PHONE_3] · [EMAIL_4]
personal details masked before any model call
Draft lead · 22 s
Prospect97%
the person, not the introducer
Company91%
from signature image
Need88%
pension transfer
Source99%
referral · 3-level chain
Needs approval
New draft lead
Pension transfer enquiry
Referral · 3 forwarded emails · 2 attachments read
high confidenceAU hosted
Nothing reaches Salesforce until a person approves.
Create in Salesforce
control.smartcall · agency panel
After-hours line · tonight
Calls answered
41
Escalated
3
Booked
12
11:42 pmHot water out · unit 4escalatedon-call paged
11:18 pmInspection bookingbookedSat 10:30
10:55 pmRent questionansweredSMS follow-up
10:31 pmNew enquiry · 2 bedspeed to leaddialled in 60 s
29 automations
Vapi tools
Escalation SLA
Missed-call capture
DNC wash gate
GHL stage sync
Opt-out propagation
Health monitor
Retention sweep
AI receptionist · live
☎
Unit 4 · tenant
02:14
"No hot water since 9. There's a leak too."
lodge_maintenance ✓escalate ✓
feasibility · Next.js
Deal brief
3 townhouses on a 900 m² lot, sell on completion, 65% LVR.
Captured 14 assumptions. Running all four pathways in the calculation engine.
Assumptions · editable
Build cost / m²$3,450
Sale price / unit$1.62m
Interest rate7.1%
Contingency8%
Scenario comparison
0 maths by the LLM · Python engine
Develop · sellIRR 21%
Develop · holdIRR 17%
Improve · sellIRR 12%
Improve · holdIRR 14%
Checks passing
2,076
Scenarios
26
Generated in
< 20 s
Feasibility assistant
Why is develop-and-hold lower?
Holding costs and the interest rate assumption reduce the return. Change the rate and I'll re-run the engine.
Explains results. No financial advice.
copilot · Data Dan (buyer persona)
DD
Data Dan
Data centre executive · sceptical
You say energisation in 18 months. The last two operators I spoke to slipped a year. What's different about your schedule?
We stage the connection: 40 MW on the existing bay first, then the new line…
And if the new line is late, what's my N+1 position for the first 40?
Coaching
Energisation lead time
evidence needed
Availability (N+1)
answer weak
Contract flexibility
not yet tested
Process clarity
strong
Competitor watch · 30 days
5 operators tracked
New 300 MW campus announced
source cited · validate before use · 2d ago
Connection delay reported
source cited · validate before use · 3d ago
Price guidance updated
source cited · validate before use · 4d ago
Practise again
Interfaces are illustrative recreations. Figures come from our case studies, measured in development and testing.
007 / START WITH WHAT WE CAN MEASURE
real numbers, no hype
We can't predict your market. We can measure the hours your team loses to admin.
Pick your business and move the sliders. The receipt shows how many admin hours AI can take over and what that time costs you today.
Your business
Email, quotes, invoices, scheduling, data entry and chasing. Most teams underestimate this.
A guide, not a promise. It assumes AI takes over 45% of admin in your industry and nothing else changes. We check it against your real numbers on the call, and only promise what we measure.
Your numbers · Professional services
Now12 h
With AI6.6 h
Admin hours per person, each week.
| Per year, whole team | Now | With AI |
|---|---|---|
| Admin hours | 4,608 | 2,534 |
| What that time costs | $310k | $170k |
| Hours on paid work, per person a week | 26 | 31.4 |
Rounded. 38-hour week, 48 working weeks, pay plus 12% super.
Team time handed back, each year
≈$139,300
2,074 hours, room for 21% more work without hiring
Check my numbers on a free callmost AI projects skip this
#1
McKinsey · The state of AI, March 2025
Tracking well-defined KPIs for AI was the practice most linked to bottom-line impact. Fewer than 1 in 5 companies do it.
3×
PwC · Global AI Jobs Barometer 2025
Industries most exposed to AI grew revenue per employee by 27% (2018 to 2024), three times the 9% of the least exposed.
1.7×
BCG · The Widening AI Value Gap, 2025
The 5% of companies BCG calls future-built see 1.7 times the revenue growth of companies lagging on AI.
What most AI projects report
What we report to you
Licences bought and logins
Tasks completed by AI each week, and how many a person had to correct
“Hours saved” from a staff survey
Hours handed back: each task timed before launch, then timed again after
Chats answered
Enquiries resolved without a hand-off, and time to first reply
Accuracy in a demo
Error and override rate on your real work, reviewed every month
What the AI tools cost
Cost per task before and after, including the AI running costs
008 / THE OFFER
One real task, automated and measured against your own numbers, before you commit to anything bigger.
Productivity, measuredGoal agreed firstOne task, not six monthsWe do the build
What you get
- 01Free 30-min strategy call
- 02Baseline and written scope
- 03A working pilot on your real data
- 04Results report against your baseline
- 05Handover and team training
Guarantee
The measured-results promise
Before we build, we agree one success measure with you in writing, such as output per person on the task we automate, and record your baseline. If the pilot falls short of it, we keep improving it for 30 days at no extra cost.
Claim my free strategy call→
you only risk 30 minutes
009 / WHO YOU'LL WORK WITH
I'm Roman Silantev, founder of AI Lab Australia. The people on your first call are the same people who scope, build and support your system, so nothing gets lost in a hand-over. We're a Sydney team working with Australian businesses, and I live on the Northern Beaches, where we back local businesses and the community around them.
TeamSydney based
AI & automation6 years
ClientsAustralian only
that's me
010 / QUESTIONS
Anything else is quicker to answer on a call. Thirty minutes, free, with the people who would build it.
We look at how work moves through your business today and pick the one or two places where AI would make the biggest difference to revenue per person. You leave with a short written summary, whether or not we work together.
011 / THE AI-FIRST COMPANY
Admin, support, finance, HR, compliance, dev, marketing and sales all run on agents that share one memory and get better every loop. People set the direction and approve what matters. Tap any building.
← SWIPE TO LOOK AROUND →
1,000+
pull requests a week from Stripe's coding agents, every one reviewed by a person.
Stripe "Minions", via InfoQ ↗︎
80%+
of the code merged at Anthropic in May 2026 was written by Claude, with engineers reviewing and deciding.
Anthropic, via The Next Web ↗︎
We build this loop, sized for your business.
Memory, agents, pipelines and guardrails, hosted in Australia.
Plan my AI-first setup →012 / OUR OWN PRODUCT
SydClaw takes the inbox, invoices, documents and reports off your team's plate, built for Australian firms.