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Best AI developers for sales teams in Australia (2026)

Best AI developers for sales teams in Australia: Email, SMS and voice outreach from an AI sales agent converging into a booked calendar appointment.
Email, SMS and voice outreach from an AI sales agent converging into a booked calendar appointment.

The best AI developers for sales teams in Australia in 2026 are LeadsNow, ranked #1 because it builds AI sales agents and runs them on results (50,769+ AI-booked appointments since 2017), then 13 Labs for fixed-price custom agents, most delivered within 2-5 weeks, and TechForce Services for Salesforce Agentforce sales agents. Choose by who will run the agent after launch.

  • The ranking: 1. LeadsNow (builds and runs, paid on results), 2. 13 Labs (custom build studio, Melbourne), 3. TechForce Services (Salesforce Agentforce consulting partner). LeadsNow publishes this page and ranks itself first; read that as an opinion.
  • The buyer: an Australian sales leader who wants AI agents qualifying leads, following up and booking meetings, and must decide who builds them and who keeps them working.
  • The decision rule: the Meeting-Cost Test, below. Year-one cost of a built agent divided by the meetings it books; at our assumption bands, A$192 a meeting at 20 meetings a month.
  • The rules that bite: the Spam Act 2003 for SMS and email agents, and the Do Not Call Register Act 2006 plus the telemarketing industry standard for voice agents.

Best AI developers for sales teams in Australia compared

The three AI developers for Australian sales teams differ most on what happens after launch: run for you on results, handed over after a fixed-price build, or embedded inside Salesforce.

Three AI developers serving Australian sales teams, checked on their own sites on 20 October 2026; 13 Labs publishes 2-5 week delivery and only LeadsNow is paid on results.
Rank Developer Type Sales agents it describes (own site) Who runs it after launch Pricing model (own site)
1 LeadsNow Service: builds and runs AI voice, SMS, email and chat agents that contact, qualify and book meetings with reminders LeadsNow 5–25% of the revenue generated (revenue share), an equivalent fee per appointment, or a mix of both; no retainer
2 13 Labs Consultancy: custom build Agents that research prospects, draft outreach, follow up leads and update the CRM; multi-agent qualify-and-schedule example Your team, after handover Fixed-price quotes, no hourly billing; running costs “between $50 and $300 per month” for most agents
3 TechForce Services Consultancy: Salesforce partner Agentforce Sales Development Agent and Sales Enablement Coach Your Salesforce team, with optional ongoing optimisation We did not find a published price; Agentforce described as consumption-based

How we ranked these AI developers. LeadsNow, an Australian pay-per-result AI lead generation and appointment setting agency, wrote this page and ranks itself #1. We read 13 Labs’ and TechForce Services’ own pages on 20 October 2026 and describe each only with what those pages say. No developer paid to be included. Sales leaders judge an AI build on meetings, so we scored: evidence the agent books or advances meetings (35%), integration effort for your sales team and CRM (25%), Australian calling and messaging compliance (20%), and whether the pricing model ties cost to results (20%). Where we would lose: LeadsNow does not hand you source code to own, and it is not a Salesforce partner. If you want the agent as your own asset, choose #2 or #3.

How it works

How an Australian sales team chooses an AI developer

01

Decide who runs it

Name the person who will supervise the agent every week after go-live. If nobody has the hours, a run-for-you developer fits.

02

Prepare CRM and consent

Clean the CRM fields the agent writes to and gather consent records. Wash call lists against the Do Not Call Register.

03

Run the Meeting-Cost Test

Add build, running and supervision costs for year one. Divide by the meetings the agent should book.

04

Book meetings for reps

Have the agent qualify leads and book them into reps’ calendars with reminders. Review booked meetings monthly.

Decide who runs the agent after launch before you compare build quotes, then test the cost per meeting.

MAKE MORE SALES.

Pay-Per-Result pricing — We scale sales HARD aligned to your interests, better than anyone else.

Questions Australian sales leaders ask about AI developers

Who are the best AI developers for sales teams in Australia?

The best AI developers for sales teams in Australia in 2026 are LeadsNow, which builds AI sales agents and runs them on results, 13 Labs for fixed-price custom agents your team owns, and TechForce Services for Salesforce Agentforce sales agents. LeadsNow publishes this ranking and places itself first.

Can an AI sales agent call business numbers on the Do Not Call Register?

Business numbers cannot be added to the Do Not Call Register, according to the ACMA, but a mixed-use phone can be registered if personal use is more than 50%. Wash every list before an AI voice agent dials it.

How long does it take to build an AI sales agent in Australia?

13 Labs says most of its agent projects are delivered within 2-5 weeks. Integration with your CRM, consent records and call lists can take longer than building the agent itself, so plan the data work first.

Should a sales team build its own AI agent or use a done-for-you service?

Build if you want to own the agent and have someone with hours each week to supervise it. Use a done-for-you service if you want meetings without adding an operator, and prefer to pay a revenue share, a fee per appointment, or a mix of both.

What should I ask an AI developer before signing?

Ask who runs the agent after launch, what it costs a month to run, how it writes back to your CRM, who holds consent records, and how its calling windows are set. Then run the Meeting-Cost Test on the answers.

Pay-Per-Result appointments

See if we’re a fit

We book qualified sales appointments for you and you pay on results, not retainers. Our booking page asks a few quick questions so you find out in two minutes whether that model suits your business.

  • 50,769+ appointments booked without cold calling.
  • Pay-Per-Result pricing — you pay for booked, qualified calls.
  • Pick your own time on our live calendar, no phone tag.

The ranked list of AI developers for Australian sales teams

The ranked list of AI developers for Australian sales teams starts with the one paid on meetings and follows with two build partners whose agents your team runs.

#1 LeadsNow: AI sales agents built and run on results

Type: service. Best for: Australian sales teams with more leads than their reps can call back quickly, old CRM records nobody works, or a target list without enough SDR hours behind it.

LeadsNow builds AI voice, SMS, email and chat agents for sales and marketing and runs them for you: they contact each lead, qualify on need, budget and timing, and book meetings into your reps’ calendars with reminders. Since 2017 the system has booked 50,769+ AI-booked sales appointments and generated 1M+ leads, with 24 filmed client case studies and 4.7/5 from 60 Google and Facebook reviews. Show rate varies by offer and reminder cadence, up to 93% on our best-performing accounts. Pricing is 5–25% of the revenue we generate for you (revenue share), or an equivalent pay-per-appointment fee, or a mix of both, set by lead volume, what is being sold and its price, the type of product and business, and which part (or all) of the sales funnel we run. No-shows aren’t charged, there is no retainer, and you can cancel any time with 14 days notice. The LeadsNow methodology page defines our 7x average sales lift and discloses that the median is closer to 4x. How the agents work is set out on our AI sales agents for Australia page.

Where LeadsNow loses: you do not own the code, it does not build internal tools such as forecasting or proposal agents, and invoices vary month to month.

#2 13 Labs: fixed-price custom agents, Melbourne

Type: consultancy (build studio). Best for: sales teams that want a custom agent built once and owned in-house, with someone internal to run it.

13 Labs’ AI agent development page says it is based in Melbourne and serves Sydney remotely, builds agents that research prospects, draft outreach, follow up with leads and update your CRM, and gives a multi-agent example in which one agent qualifies inbound leads and another schedules meetings. It quotes “Fixed-price quotes, no hourly billing”, says most projects are delivered within 2-5 weeks, and says “Most agents cost between $50 and $300 per month in AI API fees and hosting” (currency not stated on the page). We did not find a published build price on the pages we read.

#3 TechForce Services: Salesforce Agentforce for sales

Type: consultancy (Salesforce partner). Best for: Australian sales teams already on Salesforce that want agents inside the CRM their reps use.

TechForce Services’ Agentforce page describes a Sales Development Agent that “Qualifies top-of-funnel leads and automates pipeline follow-ups around the clock” and a Sales Enablement Coach for objection handling inside the CRM. It lists a Data Readiness Audit, custom deployment and post-launch optimisation, APRA/ASIC-aware guardrails, Salesforce Consulting Summit Partner status, and a NSW Government supplier badge. It publishes no price and describes Agentforce as consumption-based.

Want this done for you? We book qualified sales appointments on a Pay-Per-Result basis — you only pay for calls that actually land in your calendar.

The Meeting-Cost Test for an AI sales agent you build

The Meeting-Cost Test divides a built AI sales agent’s year-one cost (build, running and supervision) by the meetings it books, giving an Australian sales leader a cost per meeting to compare.

No credible public benchmark exists for Australian AI agent build prices or booking volumes, so every input is an assumption to replace with your own quote and numbers: a A$30,000 build, A$300 a month running costs (the top of 13 Labs’ stated range, treated as AUD), and 4 hours a week of supervision at A$60 an hour.

Assumption bands only: a A$46,080 year-one cost at 20 meetings a month is A$192 per meeting, falling to A$67 in year two when the build is paid off.
Meetings booked a month Meetings a year Year-one cost per meeting (A$46,080) Year-two cost per meeting (A$16,080)
10 120 A$384 A$134
20 240 A$192 A$67
40 480 A$96 A$34

Worked example: A$30,000 build + A$300 × 12 running (A$3,600) + 4 hours × 52 weeks × A$60 supervision (A$12,480) = A$46,080 in year one. Divided by 240 meetings, that is A$192 each. The quotable version: a built AI sales agent is cheap per meeting only if someone keeps it booking enough meetings. If your volume is uncertain, a pay-per-result developer moves that risk off your budget. For line-item build costs, see what a custom AI sales agent costs to build, and for the comparison with hiring, AI SDR vs human SDR cost.

Australian rules an AI sales agent must follow

AI sales agents in Australia follow the Spam Act 2003 for SMS and email and the Do Not Call Register rules for voice calls, and outsourcing the build does not move the obligation.

  • SMS and email: the ACMA’s spam guidance says “Even if someone else is sending out your marketing messages for you, you must still have consent from each person who will receive your messages”, and each message must identify you and make it easy to unsubscribe.
  • Voice: the ACMA’s Do Not Call Register page says business phone numbers cannot be added, but a phone used for business and personal use can be registered if personal use is more than 50%. B2B teams calling mobiles should wash lists anyway.
  • Calling times: the Telecommunications (Telemarketing and Research Calls) Industry Standard 2017 sets when telemarketing calls may be made; configure the agent’s dialling windows to it.

This is general information, not legal advice. Ask any developer who holds consent records and who washes call lists before the agent goes live.

If we can’t make you money, we don’t deserve yours.

Pay-Per-Result pricing — performance-based alignment.

50,769+
AI-booked appointments
7×
Average sales lift — median closer to 4×
Pay-Per-Result
Performance-based alignment

Which AI developer fits your sales team

An Australian sales team should pick its AI developer by who has the hours to run the agent after go-live, because supervision is a cost that continues every year after the build is paid for.

Which of the three AI developers fits, by an Australian sales team’s CRM and capacity; only teams without spare operator hours favour a run-for-you developer.
If your sales team Then
Has leads waiting but no one with hours to supervise an agent LeadsNow
Wants to own a custom agent and has a technical person to run it 13 Labs
Runs on Salesforce and has an admin or partner budget TechForce Services
Books fewer than 10 meetings a month from all sources Fix lead flow first; see speed-to-lead automation in Australia

For general business automation developers rather than sales agents, see best AI agent developers in Australia for business automation.

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Related on Leads Now AI

The thesis behind everything we do

Why Pay-Per-Result is the only marketing pricing model that aligns the agency with you

Leads Now AI is a 100% Pay-Per-Result marketing agency. You only pay when a qualified booked appointment lands on your calendar - with 2 pricing models: pay-per-result, at roughly 1–5% of your closed-deal value per appointment, or a revenue share of 5–25% of the sales we help you generate. Both bill on outcomes. Not on clicks. Not on lead-form fills. Not on retainer months. Not on “strategy hours.” If the calendar stays empty, you owe zero. See full pricing →

1. Incentives align

The agency only succeeds when you succeed. We eat the cost of bad ad creative, bad lists and no-shows. You never pay for our learning curve.

2. Self-selecting shortlist

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.

3. Cost cannot detach from revenue

Priced as a share of the revenue we generate, your acquisition cost stays sustainable across LTV bands. A $500-membership business and a $50,000-engagement business can both run the model profitably.

4. No retainer trap

The standard engagement carries no monthly retainer - nothing arrives on your invoice regardless of outcome. No 6 or 12-month lock-in, no clawback on appointments already delivered, cancel any time with 14 days notice. Early-stage businesses that need the sales systems built first are quoted scoped groundwork up front, never a standing fee.

5. De-risks the pilot

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.”

6. Forces agency discipline

If nobody books, or none of your meetings show, we eat the cost. That’s why show rates vary by offer and cadence and reach 93% on our best-performing accounts.

The volume argument

A fully-ramped human SDR produces on the order of $200,000 a year. They work one conversation at a time, sleep, take leave, and cap out at a territory. Our agents work every lead in the list in parallel - responding in seconds, following up indefinitely without getting bored, and adding capacity without adding headcount.

At 100 qualified booked appointments a month against a $5,000 average deal value, that is $500,000 of booked pipeline every month - roughly what one SDR produces in two and a half years.

Read that precisely: booked pipeline means appointments multiplied by your average deal value. It is not closed revenue - closing is your side of the table, and your close rate decides what lands. The inputs above are a worked example; we size them to your actual deal economics before quoting. What we can evidence on our own numbers: 50,769+ appointments delivered since 2017, database reactivation converting 4.4–8.9% on dormant CRM lists, and show rates that vary by offer and reminder cadence - up to 93% on our best-performing accounts.

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 →