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AI Business Automation for Australian enterprises.

AI consultancy and AI business automation for Australian scaling and enterprise businesses. We design, build, and run AI agents on your existing cloud — Microsoft Azure, Google Vertex AI, or Amazon Bedrock. Sovereign-by-default. Headquartered in Brisbane.

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State of AI in Australia
A$172B

Australian IT spending forecast for 2026, up 8.9% year on year.

Gartner, 2025
82%

of Australian firms with 200–500 employees had adopted AI by Q1 2025.

Department of Industry, Science and Resources
28%

of Australian enterprises have moved more than 40% of AI pilots into production.

Deloitte State of AI in the Enterprise 2026
A$116B+

potential GDP uplift from AI adoption across the Australian economy.

Productivity Commission, 2025
The Execution Gap

Australia has adopted AI. The next problem is getting it into production.

Eighty-two percent of mid-large Australian firms had adopted AI by Q1 2025. Sixty-one percent report measurable efficiency gains. But only twenty-eight percent have moved more than forty percent of pilots into production, and only twenty-two percent have advanced governance models for agentic AI.

The gap between "we are using AI" and "AI is running this workflow autonomously" is an engineering gap. Guardrails, observability, integrations, compliance documentation, rollback, evaluation harnesses, model-update pipelines — none of these are interesting in a workshop, and all of them are what separate a pilot from a production deployment.

This is the work we do. Corporate Agents builds the engineering layer that turns an AI pilot into a system your team trusts on a Tuesday morning when no one is watching.

And we do it without selling you a platform. Every line of code and every Terraform module belongs to your team. Every deployment runs in your own Azure, Google Cloud, or AWS tenancy. We are paid to build, transfer, and operate — not to lock you into a fourth cloud.

Sovereign Cloud

Three hyperscalers. Five Australian regions.

Microsoft, Google, and AWS all run mature AI regions inside Australia. We build natively on each — choosing the region and model family that matches your data residency, security posture, and procurement reality.

01

Microsoft Azure AI

Azure OpenAI Service is GA in Australia East (Sydney); Azure has 29 availability zones across Sydney, Melbourne, and Canberra. Microsoft has committed more than 250,000 GPUs to Australia by end-2025.

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Google Vertex AI

Vertex AI in australia-southeast1 (Sydney) guarantees that customer data for GA Generative AI features stays in the selected region. Native integration with BigQuery, GKE, and Workspace.

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Amazon Bedrock

Bedrock in ap-southeast-2 (Sydney) now supports Anthropic Claude Sonnet 4.5 and Haiku 4.5 via cross-region inference within Australia, plus Amazon Nova, Mistral, Cohere, and open-weight models.

View platform guidearrow_outward
Common Use Cases

What Australian enterprises are automating.

Six productised patterns cover the bulk of AI agent deployments across Australian enterprises today. Each is documented end-to-end with reference architectures, integration recipes, and observed outcomes — click any pattern for the full solution guide.

Workflow Automation

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AI agents that orchestrate approvals, data entry, and cross-system handoffs across SAP, ServiceNow, Workday, and Salesforce. Up to 80% reduction in manual processing time.

Intelligent Document Processing

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Extract, classify, and validate structured data from invoices, contracts, claims, and clinical correspondence. 99%+ field-level accuracy, 50%+ reduction in processing time.

Conversational Agents

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Customer-facing and internal virtual assistants integrated with your CRM, ITSM, and knowledge bases. 30–45% productivity gains in customer care.

Data Enrichment & Hygiene

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Continuous validation, deduplication, and enrichment across systems of record. Replace brittle ETL with always-on data-quality automation.

Reporting & Analytics Automation

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Scheduled and on-demand reports, anomaly detection, and natural-language queries against your warehouse. Reclaim 20–40 hours of analyst time per team per month.

Competitor & Market Intelligence

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Real-time monitoring of competitors, pricing, regulatory change, and market signals — delivered as decision-ready briefings to sales, product, and strategy teams.

What AI Delivers

What AI delivers inside enterprises.

Adoption is the easy part. The numbers below are what AI actually delivers once it's deployed into an enterprise — productivity, efficiency, and measured ROI, drawn from the most recent global enterprise studies.

66%

of enterprises with deployed AI report measured productivity and efficiency gains.

Deloitte State of AI in the Enterprise 2026
30–45%

productivity uplift in customer-service functions from generative AI agents.

McKinsey State of AI 2025
50%

of enterprises cite reduced document-processing time as the largest benefit of intelligent document processing.

AIIM IDP Market Momentum Index, 2025
~75%

of enterprises' most-advanced AI initiatives have met or exceeded ROI targets.

Deloitte State of AI in the Enterprise 2026
Our Process

Four phases from pilot to production autonomy.

Phase 01

Discovery

We map the workflow end-to-end, instrument the systems involved, and identify the highest-ROI decision points where an agent will materially outperform the status quo. Output: a costed solution architecture and success metrics agreed with your team.

Phase 02

Design

Architecture, model selection, integration patterns, guardrails, and the observability stack. We choose the cloud and the model family that matches your existing data residency, security posture, and procurement constraints.

Phase 03

Build

Iterative agent development against the success metrics. All infrastructure as Terraform. The agent runs in shadow mode first — observing real traffic and producing recommendations alongside the human workflow — until accuracy and reliability are proven.

Phase 04

Operate

Supervised handoff, then progressive autonomy. Ongoing monitoring, security patching, model updates, and incident response on a transparent monthly retainer. Your team owns the code; we keep it running.

Headquartered in Brisbane

A Brisbane base, delivering Australia-wide.

Corporate Agents is headquartered on James Street in New Farm, Brisbane — and delivers nationally. We run on-site discovery workshops, stakeholder interviews, and milestone reviews across Sydney, Melbourne, Perth, Adelaide, Canberra, and regional centres, and pair them with distributed delivery from our Brisbane engineering team. The same engineers who scope your workflow build it and operate it.

Corporate Agents Pty Ltd
109 James Street
New Farm, QLD 4005
Australia
ABN 35 696 774 197
FAQ

AI automation in Australia, answered.

The questions Australian CTOs, VPs of Engineering, and operations leaders ask us most.

AI business automation uses large-language-model-powered agents to execute end-to-end enterprise workflows that traditional rule-based automation can't handle. Unlike RPA, an AI agent can read unstructured documents, query multiple systems, make contextual decisions, and write back to your line-of-business platforms — and adapt when inputs vary instead of breaking.

All of them. We deploy into Microsoft Azure (Australia East — Sydney; Australia Central — Canberra; Australia Southeast — Melbourne), Google Cloud (australia-southeast1 in Sydney), and AWS (ap-southeast-2 in Sydney). Data residency, model availability, and the controls each region offers all factor into the architecture decision at the start of every engagement.

Every engagement includes the controls, logging, model documentation, and audit trails required by APRA CPS 230 (in force since 1 July 2025) and the Privacy and Other Legislation Amendment Act 2024 (enforceable from 10 December 2026). For APRA-regulated entities we work to the operational-risk framework as a first-class requirement, not a compliance afterthought.

Three differences. First, we don't sell a proprietary platform — every line of code and every Terraform module is yours at the end of the engagement. Second, we deploy exclusively into your existing cloud tenancy; we don't operate a shared multi-tenant runtime. Third, we focus narrowly on AI agents — not the full big-four service catalogue. We are the firm you bring in once you've decided that AI is the right answer and you need it shipped.

Yes. Although we are headquartered in Brisbane, we deliver Australia-wide and work regularly with teams in Sydney, Melbourne, Perth, Adelaide, and Canberra, as well as regional centres. Most engagements run hybrid — on-site discovery and milestone reviews, distributed delivery, and a Brisbane base for the engineering team.

We sequence every engagement so something operational ships early — typically a shadow-mode deployment within weeks of discovery, observing real traffic and producing recommendations alongside the human workflow. The agent then progresses through supervised handoff to autonomous operation as it earns trust against measured success metrics. We do not do six-month plan-deck engagements.

Financial services and insurance, healthcare, professional services, logistics and shipping, resources and energy, retail and e-commerce, and Australian government. Our solutions are designed around the systems these sectors run — SAP, ServiceNow, Workday, Salesforce, Microsoft 365, Citadel, and a long tail of bespoke line-of-business platforms.

Yes, by deliberate choice. Microsoft Azure AI, Google Vertex AI, and Amazon Bedrock are the three platforms with mature Australian regions, enterprise-grade governance, and the model breadth our clients need. Building exclusively on these three keeps your architecture portable across the cloud you have already standardised on — instead of locking you into a fourth platform.

Fixed-price phases for discovery and build, then a transparent monthly retainer for operations — typically 2.5% of build cost per month covering monitoring, security patching, model updates, and incident response. There is no per-user or per-agent metering, no long-term contract requirement, and no proprietary runtime to license.

Book a consultation. We will run a one-hour scoping session to understand the workflow, the systems involved, and the success criteria you want to measure against — and follow up with a written recommendation for a discovery engagement (or, in some cases, a referral to a partner if AI agents are not the right answer). There is no obligation and no charge for the scoping call.
The next step

Pick a time. Let's talk.

A 15-minute introductory call — no pitch deck, no obligation. We'll tell you straight whether AI agents are the right fit for what you're trying to do.

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