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AI Automation & Integration

AI that earns its place
in your business

Think of AI as Google on steroids — with logic you can train. Useful, sometimes transformative, but not magic. The businesses getting real value from it have done two things: they've learned how it actually works, and they've built proper guardrails. We help Perth SMBs do both — practical AI automation, scoped to the workflows that actually slow you down.

Based in Claremont, WA
Guardrails first
Architecture-led
Honest when it's not the answer
5.0 Google 73 reviews
AI automation process illustration
What we hear about AI

Most AI adoption stories follow one of these eight patterns

If two or three of these sound familiar, you're in good company. Most Perth SMBs end up in one of these shapes before they get to the version of AI that actually earns its place.

"ChatGPT failed our first test, so we banned it"
One bad output became the whole verdict. Almost always the issue was the prompt, the context, or the wrong tool for the task — not the model.
"We don't know what's safe to put in the prompt"
Client data, financials, IP, contracts — nobody's told staff which tools handle that responsibly and which don't. So everyone just guesses.
"It was meant to save hours. It's eaten more"
Without a clear use case, AI becomes a time-sink. People tinker for hours, get a mediocre result, and the work would have taken less time done normally.
"Vendor lock-in is freaking me out"
Every vendor wants to be your one AI provider. Without an architecture view, you end up tied to one tool, one model, one ecosystem — with the bill to match.
"Staff are using AI we don't know about"
Shadow AI — people pasting client data into free consumer tools because there's no approved alternative. Common, risky, and entirely solvable.
"We built something, it broke, we don't know why"
No-code AI builders are great until they fail. Without the right architecture — middleware, logging, fallback paths — debugging is guesswork.
"Our lawyer said no AI until we have a policy"
Reasonable position. The policy isn't hard to write — it's just that nobody's sat down with someone who actually knows the trade-offs to do it.
"We pay $20/user/month, two people use it"
Copilot, ChatGPT Teams, Gemini Business — bought on the strength of the marketing, with nobody trained on how to actually deploy them across the team.
What we actually do

Eight services, all earning their place

No hype, no "AI transformation" brochures. Just the specific bits of work we've found genuinely help Perth SMBs adopt AI sensibly — or replace it with something simpler when that's the better answer.

AI Strategy Consults
One-hour conversations that explore concepts, agents, pull vs push, where AI fits in your business, and where workflow automation is actually the smarter call. Tiered pricing below.
AI Policy & Guardrails
A plain-English AI usage policy your staff can actually follow. Which tools are approved. What data is safe. Where the lines are. Drafted with you, reviewed with your lawyer.
Microsoft 365 Copilot Adoption
Past the trial. Past the awkward demo. Specific use cases mapped to specific roles in your team, training tied to the workflows you actually do, honest ROI assessment at three months.
Custom AI Workflows (n8n)
Self-hosted workflow automation that ties your tools together with AI nodes where they earn their place — and plain logic everywhere else. Built on infrastructure you control.
Middleware & Infrastructure
Proxmox-based servers, n8n hosting, vector databases, audit logging, secure gateways. The boring foundation that turns an AI experiment into a production system.
System Integrations
Microsoft 365, SharePoint, Confluence, 3CX, bvoip, HubSpot, accounting systems — talking to each other through middleware you can see, not a black box you can't.
Internal FAQ Chatbots
Trained on your own SharePoint, Confluence and documentation. Staff get instant, accurate answers from your real docs — not made-up generalisations.
Workflow Automation (not AI)
When the task is deterministic, an LLM is the wrong tool. We'll tell you when boring automation is the better answer — and build that instead. It's often cheaper and always more reliable.
Start here

Start with a one-hour
AI consult

A no-pitch conversation. We'll walk through the concepts your team needs to understand — agents, pull vs push, LLM-vs-workflow trade-offs, what an AI "acting agent" should and shouldn't do. By the end you'll have a clearer map of where AI fits in your business, and at least one concrete next step.

  • Concepts explained in plain English
  • Real examples from Perth SMBs we've worked with
  • Honest assessment of where AI doesn't fit
  • Written summary & recommendations within 3 days
New customer
$490 / hour
Standard rate for businesses not already with Res-Q.
Existing Cyber Protection customer
$280 / hour
Discounted rate. We already understand your security posture — less context to cover.
Managed Services customer
Included · no charge
Free as part of your managed plan. We're already in your ecosystem.
Book a consult
Pull vs Push · Part 1

When AI is the right answer

Use AI when the task is language-heavy, pattern-heavy, or genuinely needs synthesis. These are the use cases that have repaid the investment for the businesses we've worked with.

  • Drafting, summarising, ideating — first drafts a human edits
  • Q&A over your own documents (SharePoint, Confluence)
  • Customer call transcription & tone analysis
  • Pattern-matching across messy unstructured data
  • Translating between formats & languages
  • Classifying free-text (tickets, emails, feedback)

Common shape: data is pulled on request — AI answers a query, the human reviews the answer.

Pull vs Push · Part 2

When workflow automation is the better answer

When the task is deterministic, has clear rules, or needs to happen consistently every time, an LLM is the wrong tool. Workflow automation is cheaper, more reliable, and easier to audit. We'll tell you so.

  • Data validation & normalisation with clear rules
  • Vendor & customer invoice cross-matching
  • Customer account validation
  • Approval workflows & routing
  • Cross-system data sync (HubSpot ↔ M365 ↔ billing)
  • Anywhere consistency matters more than creativity

Common shape: data is pushed automatically — rules trigger actions, no LLM in the loop, predictable every time.

Talk through your specific case →
What we've actually built

Four integration patterns Perth SMBs already use

These aren't case studies — they're recurring patterns we deploy, tuned per client. If your business looks anything like the shapes below, the path to AI value is much shorter than starting from scratch.

The principle
Boring middleware, smart edges
Most of the value is in the plumbing. The AI is the tip.
01
Unified documentation FAQ chatbot
Microsoft 365 + SharePoint + Confluence indexed into a single chatbot that answers staff questions from your real docs. Permissions respected. Sources cited.
02
Phone system intelligence (3CX / bvoip)
Call transcripts, sentiment analysis, automatic alerts when a customer's tone changes. Searchable history for every call — without an extra layer of CRM admin.
03
Billing cross-matching
Vendor invoices auto-matched to customer invoices. Discrepancies flagged before they become write-offs. Reconciliation goes from days to minutes.
04
HubSpot forms & account validation
New leads validated, deduplicated, enriched and routed automatically. Marketing-to-sales handoffs that don't need a human in the middle every time.
The AI maturity journey

Four stages, not one big bang

Nobody arrives at "mature AI usage" in a single jump. The businesses that get value follow a deliberate sequence — with each stage building the foundations the next stage needs.

01
Explore
Concepts, language, where AI fits, what your team actually wants to do. The consult sessions live here.
02
Pilot
One or two specific use cases, with success metrics defined upfront. Run for 90 days, then honestly review.
03
Govern
AI policy, approved tools list, data handling rules, audit logging. The guardrails that let the business actually scale usage.
04
Scale
Middleware infrastructure, multiple integrations, custom workflows. AI as a sustained capability, not an experiment.
Find out which stage you're at

Most businesses we meet are at Explore or early Pilot. That's a healthy place to start — it's the businesses claiming to be at Scale without having done Govern that worry us.

Book a consult

Start the
conversation

Tell us a bit about your situation and we'll be in touch within one business day to schedule. The first hour is the consult itself; the follow-up summary is included.

  • No-pitch hour with a senior consultant
  • Plain-English concepts & honest pricing tiers
  • Written summary & one specific next step within 3 days
Prefer to call? (08) 6555 6500 or email
Your details
About your enquiry

Pricing adjusts based on this: $490/hr (new) · $280/hr (Cyber Protection) · included free (Managed Services).

We'll respond within one business day. No hard sell. Privacy policy.

Why Res-Q for AI

Architecture-first.
Honest about trade-offs.
Local accountability.

The AI consultancy space is loud right now. Lots of promises, lots of glossy brochures, very little hands-on work. We're a Perth IT business that's been integrating systems since 2009 — AI is just the latest layer. We approach it the same way we approach the rest of your tech: architecture first, plain English, and honest about what each tool is actually good for.

17
Years building integrations
5.0
73 Google reviews
$490
Transparent hourly rate
About Res-Q IT →
Architecture-led, not vendor-led
We design middleware (Proxmox, n8n, audit logging) before picking AI tools. That means you can swap vendors without rebuilding the integrations — and you can see what's happening when something breaks.
Guardrails before capability
Policy first, tools second. Knowing what data is safe to share, which apps are approved, and what an "acting agent" is allowed to push to your real systems — that conversation happens before deployment, not after the breach.
Honest when the answer isn't AI
We'll tell you when an n8n workflow with no LLM is the better answer. We'll tell you when the problem isn't technology at all. We're paid for advice — that includes the inconvenient kind.
Local team, accountable in person
Claremont-based since 2009. AI work happens with the same Perth team that runs your IT. No offshoring, no "AI specialists" we've never met — the people doing the work are the same people answering the phone.