AIWorkerz — AI-Native Products & Custom Development

Our Products

AIWorkerz-built.
Ready to use today.

Every product below was conceived, designed, and shipped using our AI-native delivery process — from spec to production in a fraction of the time of traditional development.

🤖

Recruitment AI

AIRecruiterz

Automates your entire hiring pipeline — cut time-to-shortlist by 80%, eliminate agency fees, and reclaim 15+ hours per consultant per week.

AI-powered CV screening and ranking with configurable criteria
Automated candidate outreach and interview scheduling
Embedded candidate chatbot — answers questions 24/7
Full recruitment pipeline kanban from sourcing to offer

Visit AIRecruiterz.com →

app.airecruiterz.com — Recruitment Dashboard

Active Roles

↑ 3 this week

CVs Screened

847

↑ 120 today

Time Saved

142h

This month

Agency Fees Saved

$38k

↑ vs last qtr

Top Shortlists Today

Candidate	Role	Score	Status
Sarah M.	Snr Dev	94	Interview
James K.	PM	91	Interview
Priya N.	Designer	88	Review
Tom W.	DevOps	85	AI Screen

Pipeline by Stage

Sourced 42

Alex T.

Snr Dev · LinkedIn

Dana K.

Designer · Indeed

AI Screen 18

Sam R.

PM · Score: 87

Mia L.

DevOps · Score: 82

Interview 7

Sarah M.

Snr Dev · Score: 94

Offer 2

James K.

PM · Offer sent

AI Automation Rate78%

Response Rate64%

⚖️

Legal AI · Australia

LexCore

AI-powered legal document intelligence for Australian law firms — form libraries, AI drafting, matter management, and smart search across 200+ court forms.

200+ court forms across Federal, Family, Supreme, ASIC courts — always current
AI drafting assistant trained on Australian legal precedents
Full matter and document management with version control
Privacy Act 2024 compliant — Australian-built and hosted

Visit LexCore →

lexcore.aiworkerz.com — Matter Dashboard

LexCore

Matters

📊 Dashboard 3

📁 All Matters

📄 Documents 7

AI Tools

✦ AI Drafter

🔍 Smart Search

Court Forms

🏛️ Federal Court

👨‍👩‍👧 Family Court

⚖️ NSW Supreme

🏢 ASIC Forms

Settings

⚙️ Firm Settings

👤 Users

Active Matters

↑ 4 this month

AI Docs Drafted

312

This quarter

Deadlines This Week

3 critical

Forms Available

214

All courts · Current

	✦ AI-Native (AIWorkerz)	Traditional Offshore	Traditional Onshore
Spec & Requirements	1–2 days · AI-assisted	2–4 weeks · Manual	4–6 weeks · Workshops
Prototype / Mockup	1–3 days · Validated	4–6 weeks · Figma	6–8 weeks · Agency
Development	1–3 weeks · AI-generated	3–6 months · Team	4–8 months · Team
Testing	Automated · Full coverage	Manual QA · Slow	Manual QA · Expensive
Total Timeline	2–6 weeks	6–12 months	9–18 months
Cost (typical MVP)	$15k – $60k	$80k – $250k	$150k – $500k+
Accuracy / Spec Fidelity	High — validated pre-code	Medium — drift common	Medium — costly changes
Human Accountability	Senior expert at every step	Managed offshore team	Agency / in-house team

What does it actually cost
to build your application?

Six real application types, compared across AI-Native, offshore, and onshore development — not just on price and speed, but on the things that actually determine whether your project succeeds.

🏢

CRM & Client Portal

A custom CRM with client portal, task management, document storage, notifications, and reporting — the kind of system most businesses end up paying for twice.

✦ AI-Native

Timeline3–5 weeks

Cost$25k – $45k

Spec accuracyVery high — validated mockup first

Test coverageAutomated · Full suite

Additional advantages

✓ Mockup approved before a line of production code is written — no costly surprises

✓ AI-generated specs are exhaustive — edge cases caught before they become bugs

✓ Changes during build are cheap — AI regenerates, human reviews

✓ Full test suite generated automatically — unit, functional, end-to-end

✓ Senior human oversight at every step — not delegated to junior devs

Offshore Team

Timeline5–9 months

Cost$60k – $140k

Spec accuracyMedium — lost in translation risk

Test coverageManual QA — slow and incomplete

Common pain points

✗ Timezone lag adds days to every feedback loop

✗ Requirements misunderstood — rework is common and expensive

✗ Hidden costs: project management, QA, integration, deployment

✗ Staff turnover mid-project causes knowledge loss and delays

✗ IP and data security risks with offshore code access

Onshore Agency

Timeline8–14 months

Cost$150k – $320k

Spec accuracyMedium — change requests billed hourly

Test coverageVaries — often billed separately

Common pain points

✗ Change requests charged at $150–$250/hr — scope creep is extremely costly

✗ Long discovery and design phases before any code is written

✗ Junior developers often do the actual build behind a senior account manager

✗ Handover documentation often poor — you depend on the agency for changes

Bottom line: A CRM that would cost $220k and 10 months with an onshore agency can be built in 4 weeks for $35k AI-natively — with better test coverage, a validated spec, and a senior expert accountable for every decision.

🛡️

Regulatory Compliance Platform

A compliance management system with automated checks, audit trails, document generation, staff acknowledgments, and regulator-ready reporting — like PrivacyComply.

✦ AI-Native

Timeline4–6 weeks

Cost$30k – $55k

Regulatory accuracyHigh — AI trained on current legislation

Audit trailBuilt-in from day one

Additional advantages

✓ AI stays current on regulatory changes — spec can be updated and rebuilt rapidly

✓ Compliance logic tested exhaustively before go-live — regulators require it

✓ Policy and document generation built in — AI drafts, human approves

✓ New regulations can trigger a rebuild cycle in days, not months

✓ Evidence packages and audit trails automated — no scrambling when OAIC calls

Offshore Team

Timeline7–12 months

Cost$80k – $180k

Regulatory accuracyLow — offshore teams unfamiliar with AU law

Audit trailOften an afterthought — retrofitted

Common pain points

✗ Offshore developers have no context for Australian Privacy Act or ASIC requirements

✗ Compliance logic bugs discovered in UAT — after months of build

✗ Regulatory updates require full change request cycles — slow and expensive

✗ Data sovereignty concerns — sensitive compliance data leaving Australia

Onshore Agency

Timeline10–18 months

Cost$200k – $450k

Regulatory accuracyMedium — requires specialist legal input

Audit trailCustom built — very expensive

Common pain points

✗ Compliance domain expertise often outsourced again to legal consultants — double cost

✗ Each regulatory update is a major change request — $10k–$50k per amendment

✗ Long timelines mean legislation can change before you even launch

Bottom line: Compliance platforms are high-stakes — errors have legal consequences. AI-Native builds compliance logic from exhaustive AI-generated specs, with automated testing of every rule, at a fraction of the cost and with the agility to adapt when regulations change.

🤝

HR & Recruitment Platform

An end-to-end recruitment and HR tool with job posting, AI CV screening, candidate pipeline, interview scheduling, onboarding workflows, and reporting — like AIRecruiterz.

✦ AI-Native

Timeline3–5 weeks

Cost$28k – $50k

AI featuresNative — scoring, screening, chatbot

Time to valueRecruiting in week 5

Additional advantages

✓ AI screening logic is part of the spec — not bolted on later as an expensive integration

✓ Candidate chatbot built-in — answers job queries 24/7 without extra licensing

✓ Workflow automation (outreach, scheduling, reminders) generated from spec

✓ Privacy Act 2024 candidate data handling baked in from the start

✓ Easily extended — add new roles, workflows, integrations with short rebuild cycles

Offshore Team

Timeline6–10 months

Cost$70k – $160k

AI featuresExpensive add-on — third-party API

Time to valueRecruiting in month 8+

Common pain points

✗ AI features require additional specialist teams — significant extra cost

✗ HR workflows are complex — offshore teams often get the nuance wrong first time

✗ By go-live you've been paying agency fees for 8+ months while the platform was being built

✗ Candidate data handling often non-compliant with AU Privacy Act

Onshore Agency

Timeline10–16 months

Cost$180k – $400k

AI featuresCustom integration — $50k–$100k extra

Time to valueRecruiting in month 12+

Common pain points

✗ AI integration is a separate statement of work — always more expensive than quoted

✗ A year without the platform means a year of agency fees, recruitment inefficiency

✗ Platform ownership clauses often favour the agency — exit costs are high

Bottom line: For every month an onshore agency takes to build your recruitment platform, you're paying agency fees you could have eliminated. An AI-Native build that's live in 5 weeks vs 14 months isn't just cheaper to build — it pays for itself many times over in the fees it eliminates from week 6 onward.

🛒

Custom E-Commerce Platform

A bespoke e-commerce system with product catalogue, custom pricing rules, customer accounts, order management, inventory, and integration with payment and shipping providers.

✦ AI-Native

Timeline4–7 weeks

Cost$35k – $65k

IntegrationsStripe, shipping, ERP — spec-driven

CustomisationUnlimited — rebuilt from spec

Additional advantages

✓ No platform licensing fees — you own the code outright

✓ Custom pricing, bundles, B2B rules built to your exact spec — not constrained by a SaaS platform

✓ Integrations with ERP, WMS, 3PL baked in from the start — not retrofitted

✓ AI-generated load and stress tests — performance validated before launch

✓ New features added in days — AI generates, human reviews, deploys to staging

Offshore Team

Timeline6–12 months

Cost$90k – $200k

IntegrationsEach is a separate change request

CustomisationLimited by architecture decisions made early

Common pain points

✗ Payment and shipping integrations frequently break after offshore handover

✗ Performance testing skipped under time pressure — site fails under real traffic

✗ Security vulnerabilities common in offshore e-commerce builds — PCI DSS gaps

✗ Post-launch support from offshore is slow when revenue-critical bugs appear

Onshore Agency

Timeline10–18 months

Cost$200k – $500k+

IntegrationsQuoted separately — always overruns

CustomisationPossible but extremely expensive

Common pain points

✗ Integration costs routinely double the original quote

✗ Every design change after sign-off triggers a change request at $200/hr

✗ Delayed launch means months of lost revenue — opportunity cost rarely factored in

Bottom line: A custom e-commerce platform built offshore for $150k over 9 months will often cost $250k by the time all integrations and fixes are added. An AI-Native build delivers it in 6 weeks for $50k — with full code ownership, no platform fees, and post-launch features added in days not months.

📊

Business Intelligence & Analytics Dashboard

A custom BI platform connecting multiple data sources — ERP, CRM, finance, operations — with real-time dashboards, KPI tracking, automated reporting, and AI-generated insights.

✦ AI-Native

Timeline2–4 weeks

Cost$18k – $40k

Data connectorsAny API — spec-driven build

AI insightsNative — anomaly detection, forecasting

Additional advantages

✓ AI generates the data pipeline code, transformation logic, and visualisation layer simultaneously

✓ New data sources added in hours — not weeks of dev work

✓ AI-generated narrative reports alongside charts — insights in plain English

✓ Anomaly detection and forecasting built in — not a $50k add-on later

✓ No BI platform licensing — Tableau/Power BI replaced at a fraction of the annual cost

Offshore Team

Timeline4–8 months

Cost$60k – $140k

Data connectorsEach connector is a separate sprint

AI insightsRare — requires separate ML team

Common pain points

✗ Data warehouse design decisions made offshore are hard to change later

✗ Chart and UX requirements lose nuance across language and timezone barriers

✗ Real-time data requirements dramatically increase offshore complexity and cost

Onshore Agency

Timeline6–12 months

Cost$120k – $300k

Data connectorsEach billed as a separate engagement

AI insightsSpecialist data science team — $$$

Common pain points

✗ Most businesses don't need a $250k custom BI platform — they need the right 10 charts

✗ Data science and BI are separate specialisms — agencies often subcontract both

✗ Dashboard changes after delivery billed at consultancy rates — $200–$400/hr

Bottom line: Analytics dashboards are AI-Native's sweet spot. What requires a 6-month engagement, a data engineering team, and a $180k budget can be delivered in 3 weeks for $28k — with AI-generated insights, anomaly detection, and new data sources added in hours.

📱

Mobile App MVP

A cross-platform mobile app (iOS + Android) with user authentication, a core feature set, push notifications, backend API, and App Store submission — built to validate a product idea fast.

✦ AI-Native

Timeline4–6 weeks to App Store

Cost$30k – $55k

PlatformsiOS + Android — single codebase

Iteration speedNew version in days

Additional advantages

✓ Mockup reviewed and approved in the first week — before any backend is built

✓ React Native / Flutter generated from spec — single codebase for iOS and Android

✓ Backend API, database schema, and authentication all generated simultaneously

✓ App Store submission checklist and compliance handled by AI — human reviews

✓ Post-launch: user feedback → updated spec → new build in days. Traditional MVPs take months to iterate.

Offshore Team

Timeline5–10 months to App Store

Cost$80k – $180k

PlatformsOften iOS only first — Android extra

Iteration speedNew version in weeks–months

Common pain points

✗ Native iOS and Android often require separate teams — cost doubles

✗ App Store rejections common with offshore builds — review cycles add weeks

✗ UI/UX quality often poor — offshore teams don't follow platform design guidelines

✗ Backend and mobile built by different teams — integration bugs are common

✗ By launch, market has moved. Slow iteration kills MVPs.

Onshore Agency

Timeline8–15 months to App Store

Cost$180k – $450k

PlatformsiOS + Android — separate line items

Iteration speedSprints — 2–4 weeks per release

Common pain points

✗ The "MVP" becomes a full product build — scope creep is the norm

✗ A $250k mobile app that takes 12 months often validates an idea that could have been tested for $40k in 6 weeks

✗ Retainer agreements lock you in to the agency for ongoing changes at premium rates

✗ Discovery, design, and UX phases alone can take 3–4 months before dev starts

Bottom line: The entire point of an MVP is to validate fast and iterate faster. An AI-Native mobile MVP to the App Store in 5 weeks for $42k vs 12 months and $320k with an onshore agency isn't just cheaper — it's a fundamentally different approach to risk. You're testing your idea while competitors are still in discovery workshops.

🧾

Accounts Payable Automation

An AI-powered AP platform that ingests invoices from any source (email, PDF, EDI, portal), extracts and validates data, matches against POs and delivery receipts, routes for approval, and posts to your ERP — with exception handling and audit trails built in.

✦ AI-Native

Timeline4–6 weeks

Cost$32k – $58k

Invoice automation rate85–95% straight-through

ERP integrationNative — spec-driven build

Ongoing licence costNone — you own the code

Additional advantages

✓ AI extracts invoice data from any format — PDF, image, XML, EDI, email — no template configuration needed per supplier

✓ Three-way matching logic (invoice / PO / GRN) generated from your exact business rules, not a generic workflow you have to configure around

✓ Exception handling and escalation paths built from spec — your approval matrix, not a default one you bend your process to fit

✓ Full audit trail and duplicate detection baked in from day one — no compliance retrofitting

✓ ERP posting (SAP, Xero, MYOB, NetSuite, Dynamics) built to your chart of accounts — not a middleware layer you pay for annually

✓ New supplier formats, currencies, or approval rules added in days — AI regenerates the affected modules, human reviews and deploys

Offshore Team

Timeline7–14 months

Cost$90k – $200k

Invoice automation rate40–60% — high exception volume

ERP integrationEach ERP is a separate sprint

Ongoing licence costNone — but high maintenance cost

Common pain points

✗ AP logic is deeply business-specific — offshore teams routinely misunderstand approval hierarchies, GST treatment, and entity structures, causing expensive rework

✗ OCR and data extraction built with template-based tools — breaks when suppliers change their invoice layout, requiring manual intervention at scale

✗ ERP integration complexity is almost always underestimated — APIs, field mapping, and GL coding rules add months to delivery

✗ Audit trail and duplicate detection often incomplete — discovered in the first external audit after go-live

✗ Post-handover support is slow when finance team raises issues — timezone gaps mean a payment run can be blocked for 24+ hours

Onshore Agency

Timeline10–18 months

Cost$180k – $420k

Invoice automation rate60–80% — better but expensive

ERP integrationSpecialist sub-contracted — adds cost

Ongoing licence costOften $20k–$60k/yr retainer

Common pain points

✗ Most agencies recommend a SaaS AP platform (Basware, Coupa, BILL) instead of building — you end up with a $40k/yr licence plus $150k of integration work, and you still don't own it

✗ When they do build custom, ERP integration is invariably sub-contracted to a specialist, adding cost and a third party to manage

✗ Change requests for new approval rules or supplier onboarding are billed at $200–$300/hr — finance teams learn to tolerate workarounds rather than request changes

✗ Discovery workshops for AP are lengthy — mapping your existing process, exception types, and ERP schema can consume 6–8 weeks before any build begins

Bottom line: Accounts Payable automation is one of the clearest ROI cases in business software — a mid-size company processing 2,000 invoices per month at $12 per invoice manually spends $288,000 per year on AP processing alone. An AI-Native build at $45k that cuts that cost by 80% pays for itself in under 3 months. The difference between AI-Native and offshore isn't just speed and cost — it's that the AI extracts data from any invoice format without template setup, and your ERP integration is built to your exact chart of accounts, not a generic connector you spend months configuring.

Software built by
humans directing AI

AIWorkerz-built.
Ready to use today.

APP 1.7 / 1.8 / 1.9 — ADM Disclosure Deadline

Custom applications.
Built by humans. Powered by AI.

From idea to production.
Human-instructed. AI-executed.

AI-Native vs Traditional Development

What does it actually cost
to build your application?

Ready to go AI-native?

Software built by humans directing AI

AIWorkerz-built.Ready to use today.

APP 1.7 / 1.8 / 1.9 — ADM Disclosure Deadline

Custom applications.Built by humans. Powered by AI.

From idea to production.Human-instructed. AI-executed.

AI-Native vs Traditional Development

What does it actually costto build your application?

Ready to go AI-native?

Message sent!

Software built by
humans directing AI

AIWorkerz-built.
Ready to use today.

Custom applications.
Built by humans. Powered by AI.

From idea to production.
Human-instructed. AI-executed.

What does it actually cost
to build your application?