Lead triage & routing
Score, qualify and route every enquiry within 60 seconds.
AI Automation
Cut the manual work. Connect the systems. Let AI do the rest.
Workflow automation, AI agents, integrations and manual process reduction for Australian businesses. Replace repetitive admin with measured, monitored automation that runs around the clock.
- Australian business focus
- Senior-led discovery
- Designed to support Essential Eight ML2 alignment
- Paid roadmap before implementation
Live automation
workflow #042Trigger
New lead form
AI agent
Score + route
System
Update CRM
Notify
Slack + email
Outcome
Logged + tracked
What we typically build
Nine automation patterns. One sprint at a time.
Each AI Automation engagement starts by picking the 2–3 highest-ROI patterns from this library based on your audit findings. Most clients ship their first pattern inside 2 weeks of project start.
Quote-to-cash
Auto-draft quotes, send proposals, chase invoices.
Document summarisation
Extract structured data from PDFs, emails, contracts.
AI follow-up sequences
Context-aware nurture across SMS, email and WhatsApp.
Internal reporting bots
Daily ops summaries pushed to Slack, Teams or email.
Onboarding automation
Generate welcome packs, schedule kickoffs, assign tasks.
Tier-1 customer support
AI agents handle FAQ, routing and ticket triage 24/7.
Forecast & anomaly detection
Spot revenue, churn or operational anomalies before humans do.
Email inbox triage
Categorise, label, prioritise and draft replies in real-time.
Library is illustrative — every engagement scopes its own automation roadmap.
Who this is for
AI Automation is for businesses with repeated admin tasks, manual follow-up, spreadsheet-heavy workflows or slow customer response times. We work best with operations and leadership teams who want measurable time back — not just a flashy AI demo.
The shift this engagement creates
A simple before-and-after of what operations teams typically see once the automation sprint is live.
Without automation
- Same admin tasks repeated every week
- Data re-typed between disconnected systems
- Slow customer follow-up losing enquiries
- Quote, invoice and scheduling done manually
- Headcount growing just to keep up with admin
After an AI Automation sprint
- Repetitive admin handled automatically
- Tools talking to each other through integrations
- Customer follow-up running around the clock
- AI assistants handling tier-1 enquiries
- Team focused on higher-value work, not data entry
Common challenges we solve
The recurring operational pain points an automation sprint is designed to address.
- • Manual admin tasks repeated daily
- • Data re-entered between disconnected systems
- • Slow customer follow-up losing enquiries
- • Spreadsheet-heavy workflows slowing the team
- • No clear automation strategy across the business
What you get
A real automation builder — configured, tested, documented.
Every AI automation engagement delivers production-ready workflows. Below is an example of one of the rules we'd configure during the build sprint.
Automation suite12 live
- Lead triage + score2,840 runs
- Quote draft from enquiry432 runs
- Invoice chase sequence1,108 runs
- Onboarding doc summarisation— runs
- Renewal reminder cycle284 runs
Lead triage + scoreLast edited 2h ago
01 · Trigger
New enquiry submitted
Source: website /contact form
02 · Filter
company.size > 20 employees
Only route SMB+ leads through AI step
03 · AI step
Score lead 0–100 + route
Model: GPT-class · inputs: form payload, industry, current stack
04 · Action
Push to HubSpot · notify Slack #sales
Stages: New → Qualified (if score > 65)
Tested in staging — 7/7 passingIllustrative configuration
What's included
Each engagement produces working automations and documentation — not a verbal recommendation.
- Workflow audit and automation opportunity map
- AI assistant / agent workflow design
- Integration plan across CRM, email, calendar and data
- Automation sprint build (forms, triggers, actions)
- Document and data-entry automation
- Notification, follow-up and reminder workflows
- QA, monitoring and exception handling
- Written handover documentation and training
How it works
A five-step delivery flow from discovery to handover.
- 1
Discovery
Map the workflows, tools, data and bottlenecks slowing the team.
- 2
Design
Design automation flows, AI agent prompts and integration points.
- 3
Build
Sprint build of the automations, agents and integrations in your stack.
- 4
Test & deploy
QA, exception handling and live deployment with monitoring in place.
- 5
Handover
Written docs, training and an optional ongoing optimisation plan.
Typical engagement
The structure most operations teams find easy to plan around.
Indicative duration
4-week sprint, scope dependent
Format
Discovery · Sprint build · Handover
Led by
Senior automation engineer
Output
Live automations + documentation
Indicative timing depends on number of workflows, integrations and data complexity.
Where it applies
Sample automations across Australian industries
Indicative examples of how this service applies across three different Australian industries. Numbers are illustrative until anchored to a real engagement.
Hospitality & Tourism
Booking confirmation + pre-arrival upsell automation
- Replaces ~3 hrs/day of front-desk admin
- Lifts pre-arrival add-on revenue meaningfully
- Sends audit-ready SMS + email follow-up
Illustrative — outcomes vary by business
NDIS & Aged Care
Roster reminders + family update workflow
- Cuts visit no-shows notably
- Family kept informed automatically
- Care notes structured for audit-readiness
Illustrative — outcomes vary by business
Accounting & Advisory
Invoice reconciliation + payment chase sequences
- Saves ~6 hrs/week of bookkeeper time
- Brings DSO down meaningfully
- Documents reconciled, flagged exceptions only
Illustrative — outcomes vary by business
Potential outcomes
Common results we aim to give operations teams by the end of the sprint. Final outcomes vary by business.
- Repetitive admin work reduced — hours back per week, per role
- Tools connected — CRM, calendar, email and data on the same page
- Customer follow-up running automatically, even outside business hours
- A scalable automation foundation to build on as the business grows
Illustrative outcomes: results depend on workflow complexity, data quality, integration availability and team adoption. We use discovery to identify realistic opportunities before recommending an automation plan.
Industries we apply this to
AI Automation tends to deliver the strongest return in admin-heavy and high-volume customer-service sectors.
Frequently asked questions
Short answers to questions operations teams ask before scoping an AI Automation sprint.
Do we need to use a specific automation platform?
No. We start with the workflows and tools you already have. The audit recommends the right mix — Zapier, Make, n8n, native integrations, custom code or AI agents — based on what fits your business, your stack and your team's technical comfort.
What kind of tasks can AI automation actually handle?
Common examples include enquiry triage and routing, document and email summarisation, data extraction from forms or PDFs, quote and proposal drafting, customer follow-up sequences, scheduling and reminders, internal reporting and tier-1 customer support. The audit identifies which of these will pay off first for your business.
Will this replace our team?
No. The intent is to remove repetitive work that holds back skilled staff — not to replace them. Most clients use the time freed up by automation to focus on higher-value tasks like sales, client work or growth, without needing extra headcount.
How fast can we see results?
Most automation sprints are scoped to a 4-week build window, with quick-win automations often live within the first 1–2 weeks. The full benefit compounds as more workflows are connected and the team adapts to the new flow.
What happens to our automations after launch?
Each automation is documented and handed over with monitoring in place. You can run it internally, or continue with an optional ongoing optimisation plan where we monitor, fix and extend the automations as the business changes.
Is this safe for our data?
Automations are designed around least-privilege access, secrets management and audit logging. Each integration is reviewed against access control and data flow expectations — designed to support Essential Eight ML2 alignment across logging, authentication and patching.
Primary paid offer
Ready to remove the repetitive work?
Book a free 30-minute opportunity call. If automation is the right next move, we'll scope the sprint and send a written engagement letter — no obligation either way.