Top 7 Best AI Automation Companies and Consultancies in Australia (2026)

The seven AI automation companies and consultancies most relevant for Australian businesses in 2026 are AI Automation Co., Infraworx, Havi Technology, SimplyAI, Customer Science, KPMG Australia, and Tecala. An AI automation company designs and implements custom AI tools, chatbots, and autonomous agents that connect to existing software stacks like Xero, MYOB, HubSpot, Odoo and Microsoft Dynamics 365, handling repetitive tasks across finance, operations, customer service, and back-office workflows.

Unlike platform vendors that sell self-serve software, these companies deliver custom integration as a service, typically through a four-step arc: a free discovery audit, a paid workflow assessment, a pilot, and a phased rollout. The list below spans dedicated agencies focused on small and mid-market workflow automation through to enterprise transformation partners, and is followed by practical guidance on choosing between an agency, a do-it-yourself platform, and an in-house build.

We selected these seven based on three criteria: verified Australian presence, AI automation as a core service line rather than an adjacent capability, and current operating presence in the Australian market in 2026.

Here is a side-by-side comparison of the seven companies before we look at each in detail.

Company

Best for

Australian presence

1. AI Automation Co.

Workflow automation across multiple service industries

Sydney

2. Infraworx

AI strategy paired with workflow automation delivery

Sydney

3. Havi Technology

AI automation embedded inside ERP and CRM systems

National

4. SimplyAI

AI consulting across regulated industries

Sydney and Melbourne

5. Customer Science

Robotic process automation and document processing

National

6. KPMG Australia

AI governance and transformation for large corporations

National

7. Tecala

Generative AI and data for corporate decision-making

National

Now, to each company in detail, starting with the Sydney agencies and moving through to the enterprise transformation partners.

ai automation companies Havi Technology Pty Ltd

1. AI Automation Co.

AI Automation Co. is a Sydney-based agency that builds workflow automation for Australian businesses across construction and trades, healthcare and allied health, legal, eCommerce and retail, real estate, and accounting and finance. The work typically connects AI agents to tools the team already uses for client communications, document handling, scheduling, and back-office processes.

automation ai company Havi Technology Pty Ltd

AI Automation Co. automation services for Australia (Source: AI Automation Co.)

  • Best for: Australian businesses with high transactional volume that want AI agents connected to existing operational tools rather than a new platform to learn
  • Australian presence: Sydney
  • Pricing: available via direct quote
  • Notable: sector-specific automation pipelines including job management for trades, patient intake and Medicare billing for healthcare, document automation for legal, Shopify and WooCommerce flows for eCommerce, lead follow-up for real estate, and Xero and MYOB integrations for accounting

2. Infraworx

Infraworx is a Sydney-based AI consultancy offering AI strategy, workflow automation, and generative AI implementation. The firm pairs advisory work with delivery, so the same team that recommends the automation approach also builds it.


Infraworx AI consulting, advisory & automation solutions in Sydney (Source: Infraworx)

  • Best for: Australian businesses that want strategy and delivery from one team rather than splitting them across vendors
  • Australian presence: Sydney
  • Pricing: available via direct quote
  • Notable: five-step delivery process covering discovery and assessment, strategy and architecture, development and integration, testing and deployment, and ongoing management

3. Havi Technology

Havi Technology is an Australian AI automation, ERP, and CRM solution partner that builds AI workflows inside the ERP and CRM rather than alongside them. The practical difference is that the AI reads from and writes to the same data layer the finance, operations, and customer teams already rely on, so a single workflow can move a quote from CRM through to invoice in Odoo without manual stitching between systems.

ai automation Havi Technology Pty Ltd

Havi Technology AI automation solutions

  • Best for: Australian businesses already running an ERP or CRM as the operational system of record, where AI automation needs to act on live finance, operations, or customer data
  • Australian presence: national
  • Pricing: available via direct quote
  • Notable: Odoo, Microsoft Dynamics 365, and HubSpot specialisation, with AI automation built into core processes such as financial close, quote-to-cash, and customer onboarding

If your operational stack runs on Odoo, Dynamics 365, or HubSpot and you want to explore where AI could sit inside it, book a discovery session with Havi.

4. SimplyAI

SimplyAI is an Australian AI consulting firm specialising in intelligent automation, robotic process automation, generative AI, and agentic automation. The firm works across government, banking, insurance, and healthcare, and holds UiPath Gold Partner, Google Cloud Partner, and Informatica Partner credentials.

ai automation examples Havi Technology Pty Ltd

SimplyAI AI automation services (Source: SimplyAI)

  • Best for: Australian organisations in regulated industries where AI governance, audit trail, and compliance shape the implementation alongside the technology
  • Australian presence: Sydney and Melbourne
  • Pricing: available via direct quote
  • Notable: services span AI strategy, AI data engineering, AI data insights, and copilot data agents, with MLVizz as an in-house analytics platform built on agentic AI

5. Customer Science

Customer Science is an Australian enterprise automation partner that implements robotic process automation and generative AI-based document processing. The specialisation is high-volume document workflows where the bottleneck is reading and routing structured information at scale.

ai automation services Havi Technology Pty Ltd

Customer Science AI & intelligent automation services (Source: Customer Science)

  • Best for: Australian organisations with significant document-processing workloads who want a combination of RPA and generative AI rather than either alone
  • Australian presence: national
  • Pricing: available via direct quote
  • Notable: partnerships with UiPath and Microsoft underpin the RPA and document-processing stack

6. KPMG Australia

KPMG Australia is a global advisory firm with a dedicated AI practice in Australia, offering enterprise-wide AI transformation alongside structured AI governance and risk management. The firm’s own Q1 2026 AI Pulse Survey found that 31 per cent of Australian businesses are actively focused on AI governance compared with 26 per cent globally, which is consistent with the firm’s emphasis on responsible AI adoption.


KPMG AI strategy & services (Source: KPMG Australia)

  • Best for: Australian organisations in highly regulated industries where AI governance, risk frameworks, and audit-grade controls are central to the engagement
  • Australian presence: national, with offices in all major capital cities
  • Pricing: available via direct quote
  • Notable: advisory-led engagement model covering AI strategy, target-state architecture, governance frameworks, risk and compliance, and change management alongside the technical build

As John Munnelly, KPMG Australia’s CTO, has framed it: “Australian businesses are much more conscious about trust and the responsible use of AI, compared to businesses around the world, and that’s what sets us apart” (KPMG Global AI Pulse Survey, Q1 2026).

7. Tecala

Tecala combines generative AI and large language models with high-quality data to support corporate decision-making and pattern recognition across enterprise environments. The focus is on the data and AI layer rather than the workflow automation layer, helping organisations get the data foundations right so AI outputs can be trusted for decisions that matter.

examples of ai automation Havi Technology Pty Ltd

Tecala automation, data & AI services (Source: Tecala)

  • Best for: Australian enterprise organisations where the AI use case depends on high-quality, integrated data rather than task-level automation
  • Australian presence: national
  • Pricing: available via direct quote
  • Notable: generative AI and large language model implementation paired with data quality and governance work

How to Choose Between an AI Automation Company, a Platform, or Building In-House

The right choice depends on three factors: the complexity of your workflows, your in-house technical capacity, and how deeply the AI automation needs to integrate with your operational backbone, such as your ERP, CRM, or finance system. There are three credible paths, each with its own honest fit.

ai automation companies

The three paths for AI automation, summarised. The H3 sections below cover each in detail.

When an AI automation company is the right fit

Hire a company when:

  • workflow complexity is medium to high
  • your team does not have in-house machine learning or data engineering capacity to build and maintain the automation
  • the automation needs to integrate with the operational backbone (ERP, CRM, finance) rather than sitting alongside it

The seven companies above span the range from workflow-focused agencies to enterprise transformation partners. The choice between them depends on whether the priority is depth on operational backbone integration, breadth on advisory and governance, or speed and scope for service-business workflows.

When a do-it-yourself platform is the right fit

Choose a platform when:

  • the use case is genuinely contained, with a clear input and output
  • your in-house team can configure the tooling and maintain it
  • Australian data residency can be configured at the platform level for any data the workflow handles

Relevance AI is Australian-founded and worth a look for agentic workflows. Domo offers a broader analytics-and-automation platform with strong governance credentials. Zapier, Make, and n8n cover the lower-cost end for connecting SaaS tools without heavy engineering. These platforms solve a different shape of problem than the companies above, and the two paths are often complementary: an agency may build the integration layer that connects a do-it-yourself platform to the operational backbone.

When building in-house is the right fit

Build internally when operational scale justifies a dedicated team, intellectual property control is critical (such as proprietary models trained on your data), or sensitive data simply cannot sit on third-party platforms regardless of contractual protections. This path takes the longest, costs the most upfront, and rewards organisations whose AI work is core to the business rather than supporting it.

The honest answer to the common question of which AI is best for automation is that it depends on the situation. The framework above is more useful than the question itself.

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What Australian Businesses Need Specifically - Integration, Data, and Adoption Context

Australian businesses need three things from an AI automation engagement that global benchmarks rarely cover well: integration with the local operational stack, configurable Australian data residency, and an adoption pace that matches where Australia actually sits on the AI maturity curve.

Integration with the Australian stack

Australian small and mid-market businesses run on a recognisable operational stack: Xero or MYOB for accounting, HubSpot for customer relationship management in many cases, and Microsoft 365 for productivity. AI automation that genuinely helps connect to that stack rather than asking the team to migrate to something different. Global platforms built around United States-centric integrations often need additional connector work to handle the local reality.

Australian data residency and the Privacy Act

Most United States platforms do not default to Australian data residency. For government, banking, insurance, and healthcare workloads, data typically needs to stay onshore, and the 2024 Privacy Act reforms have raised the bar on how automated decision-making touches personal information. Locally-based companies have an easier story to tell on this question, which often shapes vendor shortlists in regulated industries. IDC has projected that 80 per cent of Asia-Pacific chief information officers will rely on edge services for AI performance and compliance by 2027 (Akamai security research on Security Brief Australia, 2026), signalling where the broader regional pattern is heading.

Adoption context shaped by Australian numbers

Australia is mid-maturity on AI: past early-adopter, not yet mass-adopted. The numbers explain why a measured engagement pace tends to work better here than the global hype cycle would suggest:

  • 35 per cent of Australian organisations prioritise AI-driven productivity, compared with 42 per cent globally (KPMG Global AI Pulse Survey, Q1 2026)
  • Two-thirds of medium-large Australian firms have adopted AI in some form, but around 40 per cent of those report only minimal use so far, typically limited to off-the-shelf tools like Microsoft Copilot or ChatGPT for summarising emails and undertaking research (RBA Bulletin, 2025)
  • 22 per cent of Australian companies use an advanced model for agent governance, and 12 per cent of Australian respondents say generative AI is transforming their business compared with 25 per cent globally (Deloitte 2026 State of AI in the Enterprise on Accounting Times)
  • Skills shortages, particularly in data engineering, are the most commonly cited constraint on adoption pace (RBA Bulletin, 2025)

This is the context any local engagement should plan against: governance-led, deliberate, and grounded in the operational stack rather than racing for productivity gains.

What an AI Automation Engagement Looks Like

Most AI automation engagements in Australia follow the same four-step arc:

Discovery audit (free, 30 to 60 minutes)

Identifies one or two high-impact use cases. No cost, no commitment.

Workflow assessment (paid, scoped)

Process mapping, return-on-investment estimation, and integration architecture. This is where most of the design decisions get made.

Pilot (typically four to twelve weeks)

A limited-scope build that tests assumptions and validates return-on-investment before broader commitment.

Rollout

Scales the validated approach with change management and ongoing support.

Cost varies across these phases and across providers. The discovery audit is free, the workflow assessment and pilot together set the actual scope, and the rollout cost depends on what the pilot proved feasible. For a deeper look at how AI changes the shape of business processes themselves, not just the workflow layer that sits on top, see our guide to AI business process automation.

Where to Start: A Practical Next Step for Australian Businesses Exploring AI Automation

For most Australian businesses, the practical first move is a 30-to-60-minute discovery audit with one or two shortlisted companies from the list above. A discovery audit is a low-cost, low-risk way to test fit before committing budget, scope, or timeline. If the ERP or CRM integration angle matches what you are trying to do, Havi offers an AI automation discovery session that walks through where AI would actually fit inside your operational stack, with no obligation to continue.

Havi Technology requires writers to use primary sources to support their work. These include white papers, government data, original reporting, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow in producing accurate, unbiased content in our AI Content Policy:

  1. Security Brief Australia (2025). Australia's cloud security & AI strategies to shift by 2026.
  2. KPMG Australia (2026). Australia leads the world on responsible AI, but lags on productivity gains
  3. Reserve Bank of Australia (2025). Technology Investment and AI: What Are Firms Telling Us?
  4. Accounting Times (2026). Aussie organisations falling behind on AI adoption: Deloitte


Disclaimer

All content on Havi's blog is provided for informational and educational purposes only. It does not constitute legal or financial. While Havi Technology strives to ensure accuracy by referencing reputable sources and industry expertise, information may not be complete, current, or applicable to every business context. Readers should seek independent professional advice before making business or operational decisions. References to third-party products or services do not imply endorsement unless explicitly stated.

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