Practical automation and AI implementation for Australian businesses.

What we do

InnovateX Solutions helps Australian organisations get useful, secure outcomes from automation and AI. We focus on the Microsoft and Azure ecosystem (Power Automate, Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry) and integrate AI and automation into the systems your team already uses.

Our approach is practical and outcomes-led. We start with the business process or knowledge work you’re trying to improve, identify whether automation, AI, or a combination is the right tool, and pilot before we scale.

Removing the manual handling that's burning your team out

Process automation with Power Automate, Logic Apps, and custom workflows. Real ROI on real processes, not buzzword-driven proof-of-concepts.

Getting your tenant ready before you turn Copilot on

Microsoft 365 Copilot readiness. Tenant assessment, data classification, permissions hardening, and pilot rollout so Copilot doesn't surface what it shouldn't.

Custom AI assistants grounded in your data, not the open internet

Copilot Studio agents and Azure AI Foundry assistants that answer from your SharePoint, Dataverse, and line-of-business systems.

Turning forms, invoices, and contracts into searchable data

Document and data intelligence. Azure Document Intelligence and AI Search applied to the document chaos most businesses already have.

Acceptable-use policies your auditors and your staff both understand

AI governance frameworks aligned to ISM, Essential Eight, and your professional obligations. Specifically calibrated for regulated industries.

AI in the systems your team already uses

Workflow integration in Outlook, Teams, SharePoint, and line-of-business apps. Not a separate AI tool to add to the stack.

Our process

We pilot before we scale, govern before we ship, and measure outcomes against the cost of doing nothing.

01

Identify & Prioritise

We work with your team to find the highest-value automation and AI opportunities. We focus on processes that are repetitive, rule-based, or knowledge-heavy and rank them by impact and effort.

02

Pilot & Validate

We build a focused pilot to prove the approach. Real users, real data, measurable outcomes. We capture lessons before scaling.

03

Scale & Govern

Successful pilots are productionised with proper governance, monitoring, security review, and user training. Roll-out is staged to manage change risk.

04

Operate & Improve

Ongoing monitoring, model evaluation, and tuning keep automation reliable and AI assistants accurate. We retire or refactor what stops paying off.

Why teams choose us

We'll talk you out of AI when it's the wrong tool

A 10-line script, a Power Automate flow, or a clearer process is often the right answer. We're not paid to push AI when it doesn't pay back.

Governance led, not feature led

Every AI engagement starts with data classification, permissions, and acceptable-use policy. We don't ship AI without the guardrails in place.

Microsoft & Azure native

Deep production experience with Power Automate, Copilot Studio, Azure AI Foundry, and Microsoft Graph. Built on your existing tenant, not a separate stack.

Australian data sovereignty

Australian-resident data and processing where required. ISM and Privacy Act constraints are baseline knowledge, not specialist consulting.

Industries we work with

Frequently asked questions

It depends on the use case. Typical examples: invoice intake automation reducing manual data entry, approval workflow routing, customer onboarding flows, periodic report generation. We start with a discovery engagement to identify candidates, then build pilots in 2-4 week sprints.

Most organisations need preparation work before rolling Copilot out. Sensitivity labels, oversharing remediation, permissions cleanup, and pilot user selection. We run a Copilot readiness assessment that gives you a clear picture and a roadmap.

Yes. We use Copilot Studio for low-code chat experiences and Azure AI Foundry for richer custom assistants. We can ground assistants in your SharePoint, Dataverse, or line-of-business data, with proper access control inherited from existing permissions.

Every AI engagement includes a governance component. Data classification review, acceptable use policy, prompt and output review processes, and monitoring for drift or misuse. For regulated environments we align to ISM and applicable industry standards.

We design for accuracy through grounding (giving the AI the right source documents), retrieval-augmented generation (RAG), and human-in-the-loop review for high-stakes use cases. We’re upfront about where AI adds value and where it doesn’t. Accuracy expectations are part of every design conversation.

That’s not the goal of the engagements we run. Most of our automation and AI work removes repetitive cognitive load (data entry, document classification, simple lookups) so your people can focus on higher-value work. We design for human oversight, not human replacement.

A free initial consult to discuss what you’re trying to achieve. From there we typically run a focused discovery engagement to identify candidate processes, prioritise by impact and risk, and propose a pilot.

Free initial consult

Talk to us about Automation & Artificial Intelligence

A 30-minute call. We listen, ask the right questions, and tell you whether we are the right fit.