Best AI Development Agency in Australia · Revenue-First · 30-Day First Ship
Concept to first deployment in under 30 days. Revenue and impact prioritised first, cost-saving second, nice-to-haves never. We build AI agents, automation, custom integrations and full SaaS — on Pay-Per-Result alignment so we only profit when you do. No 6-month roadmaps. No feature factories.
What we build
A complete AI development capability — from autonomous agents to full SaaS. Pick the build, take the stack, or scope a custom engagement. All on Pay-Per-Result alignment.
Custom AI agents that take real work off your team — sales SDRs, support tier-one, ops automation. Built on GPT-5, Claude Opus 4.7, or open-source LLMs depending on your stack. Multi-agent and LangGraph orchestration for complex workflows.
Full revenue-automation funnels: lead capture, AI qualification, scheduling, follow-up, recovery. Trained on patterns from 50,769+ booked appointments. The system we use ourselves to fill our own calendar.
Plug AI into the systems you already run. OpenAI API, Anthropic, Gemini, Microsoft Copilot. RAG over your data using Pinecone, Weaviate or Qdrant. LangChain or LlamaIndex orchestration. Production-grade, observable, secure.
Full-stack SaaS builds with AI as a core feature, not a bolt-on. React or Next.js frontends on Vercel. Python or Node.js backends on AWS or GCP. Built to ship MVP in 30 days, scale to production traffic within 90.
Replace manual workflows with reliable automation. n8n self-hosted, Make.com, Zapier, or custom Python services depending on volume and complexity. Built to handle the unhappy paths — not just the demo flow.
For execs and founders who need a clear, ranked technical roadmap before they commit to a multi-build engagement. Outputs: prioritised feature list, $ impact estimates, 30-day first-ship plan, vendor / build / buy recommendations.
Breadth of experience
Authority comes from breadth, not buzzwords. The discipline of revenue-impact-first prioritisation applies the same way to a Fortune 500 enterprise AI integration as it does to a 5-person SaaS MVP — the math just has more zeroes.
Fortune 500 / ASX 200 / multinational
Large-scale AI integration into legacy stacks. Compliance, observability, change management baked in. Built to survive enterprise procurement, audit, security review.
Boutique AI builds with rapid ROI
Tight, focused AI builds for 5–50-person businesses. Revenue-mover-first, no enterprise overhead. Live in 30 days, ROI inside the first quarter.
Compliant, audited AI deployments
AI builds for federal, state and local government plus regulated sectors (finance, healthcare). On-prem and sovereign-cloud deployments, audit trails, data-residency compliance.
Yes, actually.
Edge-deployed AI for satellite data pipelines, telemetry classification, and aerospace operations. Low-latency, fault-tolerant, telemetry-grade engineering.
AI + smart contracts
AI integration across Web3 stacks — LLM-driven contract analysis, on-chain agent orchestration, treasury automation, DeFi risk modelling.
Single-agent & multi-agent systems
Custom agentic AI builds: GPT-5, Claude Opus 4.7, multi-agent orchestration via LangGraph, tool-use, memory, planning, recovery from failed actions.
React / Next.js / Tailwind / TypeScript
Production-grade frontends on Vercel for AI-driven products. Streaming UIs, real-time agent interfaces, embeddings-driven search, RAG-grounded chat.
Python / Node.js / PHP / Go / Rust
API and service engineering at scale. AWS, GCP, hybrid-cloud. Observable, secure, production-tested under real traffic — not a sandbox demo.
The lot, end-to-end
Frontend + backend + LLM + RAG + vector DB + automation + DevOps under one engagement. One team accountable for the whole shipped product.
n8n / Make / Zapier / custom
Replacing manual workflows with reliable automation. n8n self-hosted for volume and control, Make for fast-iteration, Zapier for non-technical teams, custom Python services where volume demands it.
Pipeline automation, RevOps
AI-driven sales engineering: SDR replacement, pipeline qualification, CRM enrichment, deal-stage automation. The discipline we use to fill our own calendar.
End-to-end revenue automation
Full funnels with AI qualification, scheduling, follow-up, recovery and reporting. 50,769+ appointments delivered through this engine for clients and ourselves.
White-label + custom MVP
Ground-up SaaS builds with AI baked in from day one. MVP live in 30 days, full v1 in 90. Built to scale to production traffic, not a portfolio piece.
AI agents replacing repetitive roles
Honest framing: augmentation + 60–85% cost reduction per role, not “fire your team.” Sales SDRs, support tier-one, data-entry, BDR outreach, scheduling, report generation.
Tech stack covered: OpenAI, ChatGPT, Claude (Anthropic), Perplexity, GPT-4, GPT-5, Gemini, Microsoft Copilot, agentic AI, LangChain, LangGraph, LlamaIndex, Pinecone, Weaviate, Qdrant, LLM fine-tuning, RAG, vector databases, React, Next.js, Python, Node.js, Vercel, AWS, GCP, n8n, Make, Zapier, OpenAI API.
Book a Free Strategy SessionThe AI Dev Funnel — Every Stage Driving Revenue
Revenue-First AI = the dial on every stage. Multiply these and you ship AI that moves the P&L. Get any one wrong and you’re back to feature-factory territory.
Most AI dev agencies take 6 months to put anything in front of real users. We ship the first deployment in under 30 days. That means you start collecting real signal 5 months earlier — before the competitor build has even finished requirements. Speed isn’t cosmetic. It’s the only honest way to know what to build next.
Before any code is written, every proposed feature gets ranked by revenue or cost impact. The top one or two go first. The nice-to-haves go last (or never). No more devs prioritising the framework they want to learn this quarter ahead of your P&L outcome. Boring, ruthless prioritisation is the difference between $250k well spent and $250k on the bonfire.
After first ship, we deploy weekly. Real user behaviour decides the next sprint — not a pre-baked 6-month Gantt chart. Discovery happens through shipping. You end up with an AI build shaped by what your users actually do, not what a workshop guessed they’d want. The roadmap rewrites itself every sprint based on the data.
On a fixed-bid retainer, the agency profits more the longer the project runs. On Pay-Per-Result, we don’t. Our team has zero structural incentive to pad the spec, sneak in flashy nice-to-haves, or hide behind “discovery” for three months. Aligned interests mean shipped revenue — not billable hours.
Volume × Booked-call rate × Show rate × Close rate = your business. Lift any one by 20% and the maths compound.
Book a Free Strategy SessionBrand Experience
If you’re thinking about commissioning an AI build — an AI agent, an internal automation, a custom GPT-powered tool, or a full SaaS product with AI baked in — please read this before you sign anything. Most AI development agencies are feature factories. They quote you a 6-month roadmap full of nice-to-haves, bill you $250k+, and at the end you have a polished system that doesn’t actually move your P&L.
We’ve seen it dozens of times. Founders come to us after burning $80k–$300k with another shop on builds that shipped but didn’t move revenue. AI agents that nobody uses. Automations that automate the wrong thing. SaaS MVPs with 40 features but zero customers. The agencies built what was asked — they just never pushed back on whether it was the right thing to build first.
Imagine instead what it’s like to have the first deployment live in 30 days, processing real users, generating real data, before the original quote from another agency would have even finished its discovery phase. Then iterating weekly — building as you learn — instead of shipping a 6-month guess.
You can stop letting developers prioritise their tech preferences over your P&L. Stop paying for “exploring possibilities”. Stop watching the budget evaporate on features that look impressive in demos and contribute nothing to revenue or cost.
So let’s be honest about who we’re for. If you want a beautifully crafted side-project, a research playground, or a 12-month deep-build before any user touches it — we’re not your team. We disqualify projects we can’t tie to a P&L outcome. Especially if the founder wants to start with nice-to-haves before the revenue-mover.
Our authority comes from breadth, not buzzwords. We’ve shipped AI work across enterprise (ASX 200 / Fortune 500), small business, government, satellites, blockchain / Web3, autonomous AI agents, frontend (React, Next.js, TypeScript), backend (Python, Node.js, Go, PHP), full-stack, automation platforms (n8n, Make, Zapier, custom), sales and revenue operations, AI-driven sales funnels, and full SaaS development — from MVP through to scale. Different industries, same playbook: revenue or cost first.
We’ve generated 50,769+ booked sales appointments using the AI we build — including 1,425 booked for ourselves through our own AI agents. Clients include Colliers, 121 Brokers, Foundr, SheSells.online, plus 24 filmed case studies across coaching, consulting, brokerage, SaaS, education, property buyer’s agencies and Fortune 500 enterprise. The AI you commission us to build runs the same engine.
Our philosophy is simple: we don’t ship features. We ship revenue. If we can’t tie a feature back to revenue lift or genuine cost reduction, it gets killed in the prioritisation meeting. That’s why we ship the first deployment in under 30 days — because the only honest way to know what’s worth building next is to put real users in front of what you have, learn, and iterate. Build as you learn. Not build, then hope.
Pay-Per-Result pricing — performance-based alignment.
The problem
Most AI dev agencies build whatever you ask for — long roadmaps, nice-to-haves, 6-month timelines. The result: $250k+ spent on AI that doesn’t move the P&L.
Slow ship in. Weak prioritisation out. Most AI builds never move the P&L they were commissioned to move.
When every feature gets equal weight, the team builds nice-to-haves alongside revenue-movers. The revenue-mover ships last — or never. Throughput is capped by the noise.
Most AI dev agencies run 6-month waterfall builds. Real users see nothing until month 6. By the time you learn what works, you’ve already paid for everything that doesn’t.
Pre-baked roadmaps are guesses dressed up as plans. Without weekly deploys feeding real user data into the next sprint, you end up shipping a polished version of the original guess.
Devs prioritise the framework they want to learn this quarter. Stakeholders prioritise the feature that demos well in the boardroom. Neither prioritises the line on the P&L. The budget evaporates.
Slow ship cycles plus weak prioritisation plus pre-baked roadmaps plus misaligned incentives = a polished AI build that everyone congratulates each other on — and nobody can find on the P&L.
Stop the bleed
Pay-Per-Result alignment — we ship revenue-first AI in under 30 days, aligned to your P&L — not our billable hours.
The problem we solve
Most AI builds lose 97.3% of their potential revenue impact between brief and deployment — because of slow ship cycles, weak prioritisation, and feature-factory thinking. Revenue-First AI = the dial on every stage.
Schedule A Free Strategy Call
Who we help
We’re an Australian AI development agency for businesses that want revenue-impact-first AI shipped fast — not a 6-month roadmap full of nice-to-haves. Our team spans AI engineers, full-stack developers, automation specialists, sales and revenue ops, plus product strategy — so every build is grounded in what actually moves the business, not just what’s technically clever.
We work with founders, operators and executives across enterprise (Fortune 500 / ASX 200), SMB, government, satellites / aerospace, blockchain / Web3, SaaS, education, brokerage and high-ticket services. The common thread isn’t the niche — it’s a decision-maker who wants AI tied to a P&L outcome, shipped in under 30 days, then iterated weekly.
We don’t ship features. We ship revenue.
Pay-Per-Result pricing — performance-based alignment.
How it works
Every Revenue cycle feeds learnings back into Lead generation & AI models — so each loop converts harder, qualifies faster, books more.
The leaking bucket
6 leaks pluggedSame ad spend. Typical: 1,000 visitors → 1 sale (0.1%). With LeadsNow: 3.9× ad CTR feeds 3,900 visitors into a less-leaky funnel → 199 sales — about 199× more for the same ad budget.
Everything we do
One team, one Pay-Per-Result agreement, every lever pulled — from the first ad impression through to recovered ghost-pipeline revenue.
Proof
AI we’ve built and shipped has generated 50,769+ booked appointments across coaching, consulting, fitness, brokerage, SaaS, education, property buyer’s agencies and education companies. Every name below filmed their story on camera.
Also working with course creators & education brands including Foundr, SheSells.online and others.
“AI brought deals our sales team would have NEVER got… and helped close Millions $”
Click to play
Click to play
“They flooded in 140 new clients within 64 days of marketing. The results have been amazing!”
“172 clients have joined our Project since opening the gym 3 months ago.”
“We've been consistently adding 40+ members per month — I recommend them to everyone.”
“I tripled my investment… And I can not say that's ever happened with anything else.”
“104 new members in 90 days. With LeadsNow, people who book actually show up.”
“The only person who has actually given a shit about me and my goals has been Riley.”
“I found Riley 5 months ago, before we even opened, and I'm so glad we did.”
“The first program I've ever been involved with that covers the whole package — not just ads or landing pages.”
“I was ready to leave the industry. Now I'm adding 5 new clients a week and hiring my second trainer.”
“Within just 21 days he brought me an extra $7,000 and an 18× return on adspend.”
“I own 3 gyms — Riley and the team gave me peace of mind when nothing else was working.”
“Doubled in members, doubled in revenue. Biggest month we've ever had — and that's post-COVID.”
“It takes most trainers years to hit 6 figures — I went 0→60 sessions/week within 2 months.”
“We took a 2-month holiday this quarter and STILL had our highest quarter on record.”
“Within 8 weeks of opening our first gym, we've gone from ZERO to BREAKING EVEN.”
“FAR MORE leads than anyone else — I've been able to take my first holiday in 3.5 years!”
“81 new small group training members joined so far — with a new baby in the family I'm so relieved.”
“80× 21-day memberships and 49 memberships closed — about $61k over the last four months.”
“$58,506 and 98 new clients in just 12 weeks. If you want help, just do it!”
“Over the last 6 months we've signed up 163 new clients into small group training.”
“57 new members in less than 2 months. The team's progression and the educational info has been outstanding.”
“Going into Lockdown a second time I knew I had a business — I was confident, I knew what to do.”
“75 members in 2.5 months. Doubled our classes, upgraded the gym, never been so busy in my life.”
“$63.5k of sales in only 3 months — we're plus 15 members on pre-COVID, weekly revenue substantially up.”
Hover to pause, click any card to play the full video inline · 25 filmed client interviews
Want AI shipped in 30 days for your business?
Pay-Per-Result pricing — performance-based alignment.
Proprietary tech
Always-on AI prospect engine
Custom-built AI agent stack that gushes prospects in 24/7, talking 1:1 to warm them up — deployed for our clients and ourselves.
Auto-qualify · Auto-schedule
Our agentic AI qualifies leads for fit, budget and intent, then books them straight into the calendar — integrated with any CRM.
LLM-tuned outreach quality
Outreach is tuned by country, industry and contact profile using GPT-5 and Claude Opus 4.7 — so brand quality stays high.
Machine-learning outcomes
Custom RAG + vector DB stack (Pinecone, Weaviate or Qdrant depending on scale) so your AI agents split-test and get smarter every cycle.
Scale without ceiling
Constantly launches new campaigns and works leads on rotation — the same engine we use to scale our own pipeline.
What makes LeadsNow different
Specific, named mechanisms — not vague “we work smarter” claims.
Live in under 30 days
Every engagement has a hard ship date inside 30 days for the first deployment in production. Not a demo, not a sandbox — live, processing real users. Speed by structure, not by accident.
Every feature scored before build
Every proposed feature is scored against revenue uplift or cost reduction before it touches the dev queue. Nice-to-haves don’t make it past triage. If a feature can’t be tied to a P&L outcome, it gets killed — politely.
Weekly deploys driven by real data
No 6-month roadmaps to ship blind. We deploy weekly after first ship, and every release’s scope is decided by real user data from the prior week — not a workshop guess.
We don’t profit from inflated scope
Our commercial model rewards revenue impact, not billable hours. No incentive to drag a project out, no incentive to pad the spec. Industry-rare structural alignment with the people writing the cheque.
How we ship
Concept to first deployment in under 30 days. Then build as we learn.
Every feature ranked by $ impact before a single line of code. We strip the brief down to the one or two AI builds that actually move revenue or cut cost — and kill the nice-to-haves. Discovery in days, not weeks.
First deployment live in production inside 30 days — processing real users, generating real data. While other agencies are still in workshop hell, your AI is already learning from the only signal that matters: the market.
Weekly deploys. Real user data feeds every next decision. No waterfall, no Big Bang releases, no shipping a 6-month guess. Discovery happens through shipping — not before it. The roadmap rewrites itself every sprint based on what the data says.
We don’t profit from inflated scope. The commercial model rewards revenue impact — not billable hours. So nobody on our team has an incentive to drag the project out, pad the spec, or build something flashy that doesn’t move your P&L.
By the numbers
Free Blueprint
The exact 6-step blueprint we deploy to ship AI agents and revenue automation in 30 days. View it before your competitors do.
Brand Experience
An uncomfortable truth
Most AI dev agencies quote 6-month roadmaps, bill $150k–$300k+ on fixed retainers, and ship something polished that doesn’t move the P&L. Here’s what we see every week when a founder books their strategy session with us —
You get a 6-month roadmap and a 40-feature backlog. Every fortnight they ship something polished. Six months in, you have a system that demos well and contributes nothing to the line on the P&L.
The same RAG-over-docs template they ran for an HR SaaS last quarter is now running for your sales pipeline. No revenue ranking. No domain depth. No idea that your AI build needs to plug into how your business actually makes money.
Six and twelve-month engagements. Cancellation penalties. The agency gets paid whether the AI moves your P&L or not — so there’s zero structural incentive to ship the revenue-mover first.
“Model accuracy up.” “Token efficiency improved.” “Embedding quality benchmarks beat baseline.” None of those pay the bills. The only metric that matters is revenue lifted or cost reduced by the AI you commissioned.
Devs picking the framework they want to learn this quarter. CTOs picking the vendor that looks good on the architecture diagram. Nobody picking based on the line on your P&L. We rank every build by revenue or cost impact — boring, ruthless, effective.
Three months of workshops, journey maps and stakeholder interviews before a single line of code. By the time discovery ends, the market has moved. We discover through shipping — first deployment live in under 30 days, learn from real users, iterate weekly.
That’s why we built LeadsNow on a revenue-first, 30-day-ship, Pay-Per-Result model. Every feature ranked by revenue or cost impact. First deployment live in under 30 days. Weekly iteration driven by real user data. No 6-month roadmaps, no inflated scope, no “discovery” theatre. Just AI that moves your P&L.
Book a Free Strategy SessionFrequently asked
Direct answers — ROI-first, P&L-grounded, no hand-waving.
Still got questions? The free 45-minute strategy session scopes your AI build for revenue impact — no obligation.
Book a Free Strategy SessionRelated reading
Other LeadsNow vertical pages, positioning posts and proof material for founders comparing AI development options.
How we deploy AI for marketing-led revenue lift.
Read moreAI builds and integrations for SaaS product teams.
Read moreLead gen and AI agents for high-ticket coaching.
Read morePipeline automation for consulting practices.
Read moreRevenue automation across brokerage, lending, advice.
Read moreAI lead gen for property buyer’s agencies.
Read moreWhite-label AI for agencies that resell us downstream.
Read moreScope your AI build for revenue impact — no obligation.
Read moreWhy Pay-Per-Result alignment ships more revenue.
Read moreA real AI build that reactivated dormant leads.
Read morePay-Per-Result pricing — performance-based alignment.
Related on Leads Now AI
The thesis behind everything we do
Leads Now AI is a 100% Pay-Per-Result marketing agency. You only pay when a qualified booked appointment lands on your calendar — sized to roughly 1–5% of your closed-deal value. Not for clicks. Not for lead-form fills. Not for retainer months. Not for “strategy hours.” If the calendar stays empty, you owe zero. See full pricing →
The agency only succeeds when you succeed. We eat the cost of bad ad creative, bad lists, ICP mismatches and no-shows. You never pay for our learning curve.
Only an agency confident in its delivery can operate this model. The pool of Pay-Per-Result agencies is tiny precisely because most agencies can’t survive on it. Pick from the agencies who can.
Sized to 1–5% of closed-deal value, your acquisition cost stays sustainable across LTV bands. A $500-membership business and a $50,000-engagement business can both run the model profitably.
No flat $2,000–$10,000/month retainer arriving regardless of outcome. No 6 or 12-month lock-in. No clawback on appointments already delivered. Cancel any time with 7 days notice.
Test before commitment. A small scope-based setup fee covers hard build costs; everything after that is purely outcome-linked. There’s no “we’ll see how it performs after $30k of spend.”
If our AI agents qualify poorly, if our reminders fail, if our no-show recovery doesn’t fire — we eat the cost. That’s why the show-rate benchmark sits at 60–75%+ and the database reactivation benchmark at 4.4–8.9%.
The proof: 50,769+ AI-booked sales appointments delivered since 2017 across coaches, consultants, RTOs, course creators, finance brokers and B2B service firms in Australia, USA, UK, Canada, NZ and Europe. Named clients include Sam Tajvidi (121 Brokers), Marcus Wilkinson (Iron Body), Foundr, SheSells.online and Lambda Academy. Wikidata Q139846230. See full Pay-Per-Result pricing →
