Practical AI, Built on What You Already Run
Not a chatbot bolted onto your website, and not a vague promise to "leverage AI." Real document intelligence and workflow automation, built with proven, open tools — grounded in 18+ years of actually shipping systems that work.
Sound Familiar?
The same data gets typed into three different systems because nothing's connected. Documents pile up needing to be read, classified, and routed by hand. Every "AI" vendor pitch sounds the same and explains nothing about what's actually happening to your data. Your team knows there's a better way to handle the repetitive parts of the job — but nobody's shown them something real enough to trust yet.
The Same Structured Process — Applied to What's Worth Automating
AI and automation aren't a separate discipline at Range — it's Friction Audit → Unify → Secure → Automate → Traction Check, same as everything else we build.
We start by finding what's actually manual and repetitive (not what's trendy to automate), unify the systems that should already talk to each other, secure what we build the same way we secure everything else, automate the real work, and check it's actually being used — not just that it shipped.
Friction Audit
Identify what's actually manual & repetitive.
Unify
Connect document vaults & business tools.
Secure
Keep data inside tenant boundaries & encrypted.
Automate
Deploy decision-making agentic workflows.
Traction Check
Measure real user adoption & time saved.
Where This Shows Up
Two concrete AI and automation capability areas built for Australian enterprises.
Intelligent Document Management
AI that reads, summarises, and answers questions about your documents — without your data ever leaving your own systems or training someone else's model. Built on M-Files Aino.
Workflow & Agentic Automation
Automation that doesn't just move data between systems, but makes decisions and takes multi-step action — built on open, transparent tooling like n8n, not a black-box SaaS platform.
Why Range for AI
Four reasons to build AI capabilities with an established systems partner.
Real Delivered Systems, Not Concepts
Range has already built and shipped real production platforms — see Custom Software Development. A company that can't ship regular software has no business promising AI. Range points to real, in-use systems instead.
Open Tools, No Black Box
Built on open-source and self-hostable tooling wherever possible — you can see what's actually running, not trust a vendor's marketing claim about what happens to your data.
We Already Know Your Documents
Deep, existing M-Files and Information Management expertise means AI work here starts from real document and records knowledge, not a generic AI wrapper with no domain understanding underneath.
Security Is Step Three, Not an Afterthought
"Secure" is a named step in Range's process, applied to every AI and automation build the same way it's applied to everything else — not bolted on after the fact because someone asked about data privacy.
Frequently Asked Questions
Honest answers about AI security, data privacy, and workflow integration.
1. What does "AI" actually mean when Range says it?
Two concrete things: AI that reads and understands your documents (see Intelligent Document Management), and automation that can make decisions and take multi-step action across your systems (see Workflow & Agentic Automation). Not a vague capability claim — two specific, real things you can go read about.
2. Does using AI mean our data trains someone else's model?
Depends entirely on the tool. Self-hosted and open-source tooling (like the n8n-based automation Range builds) keeps your data inside systems you and Range control. Third-party SaaS AI tools vary by vendor and need checking individually — we'll tell you plainly which category any specific tool falls into rather than giving a blanket reassurance that isn't true of every possible tool.
3. How is this different from just using ChatGPT ourselves?
A general-purpose chatbot doesn't know your documents, your systems, or your workflow — you're doing all the connecting and context-providing manually, every time. What Range builds is grounded in your actual data and systems from the start, so it doesn't need to be re-taught your business in every conversation.
4. Do we need to replace our existing systems to do this?
No — the whole premise is connecting and extending what you already run (M-Files, your accounting software, your job management tools), not ripping them out. See Custom Software Development for how Range approaches integration generally.
5. How do we get started?
A Friction Audit conversation — we look at what's actually manual and repetitive in your business before recommending anything, rather than starting with a tool and looking for a use for it.
Let's fix what's actually slowing you down.
IT support, information management, custom software, or your first step into AI and automation — it starts with a conversation with our local engineering team.
Get in touch