"We have the licences, not the workflows."
Copilot, ChatGPT or Claude are switched on, but nobody's working differently.
AI & Automation
Turn AI tools into workflows that actually do the work.
We help Australian businesses get real value from Microsoft Copilot, Azure AI Foundry, ChatGPT and Claude, and automate the work between systems with n8n, Zapier, Make and Clay. Automation where rules are stable, AI where judgement matters, people where the stakes are real.
Platform-agnosticHuman approval built inFixed scope, fixed price
AI
Microsoft Copilot·Azure AI Foundry·ChatGPT·Claude·Gemini·Lyzr
Automation & systems
n8n·Zapier·Make·Clay·Power Platform·Odoo
Sound familiar?
"Our back office runs on copy-paste."
Emails, invoices, orders and reports retyped between systems every day.
"Our reps research instead of selling."
Hours of prep per account before anyone picks up the phone.
The model is one component. The system is the work.
Most AI work gets stuck between the demo and the operation — pilots that don't integrate, data too scattered to trust, risk teams that won't sign off. The model is rarely the problem. The system is: workflow, data, integrations, controls, audit, adoption and ownership. We architect for the system, so when the model layer changes, your business doesn't.
AI models
Claude, OpenAI, Gemini and others provide reasoning, drafting, classification and summarisation.
Workflow and orchestration
Microsoft Copilot Studio, Azure AI Foundry, n8n, Zapier, Make, Power Platform and Lyzr connect AI to real workflows, systems and approvals.
Business systems
Odoo and other ERPs, CRM, helpdesk, finance, email, documents and reporting — where the work actually happens.
Not every workflow needs AI.
Some work should be automated. Some work needs AI. Some work should stay human-approved.
Automation
For stable rules, triggers, structured data, routing, reminders, and repeatable system updates.
AI
For messy language, summarisation, drafting, classification, judgement support, research, and context-heavy work.
Human review
For commercial decisions, customer commitments, refunds, legal/HR matters, pricing, and high-risk actions.
Good implementation is knowing which layer belongs where.
About two in three Australian SMEs that aren't using AI say they don't trust it to make decisions, or want people to stay in control. We agree. Everything we build keeps a person in charge of the calls that matter.
Source: National AI Centre, AI adoption insights, December 2025 – February 2026
Ways to start
AI Workflow Assessment
1–2 weeks
Find what's worth automating before you spend.
- Workflow mapping across teams
- AI vs automation vs human fit
- Ranked shortlist by hours saved and risk
- Fixed quote for the build
First Automation
2–4 weeks
Prove the value fast with one live workflow.
- One workflow live in your tools
- Human approval where it matters
- Handover guide
- 30 days' support
Copilot, ChatGPT or Claude Rollout
Turn licences into habits.
- Projects, skills and connectors set up for real work
- A one-page AI usage policy
- Hands-on team training
- First workflows live
Workflow Suite
4–8 weeks
Several automations and AI agents across the business.
- Sales, finance, operations and service flows
- AI agents trained on your data
- Approval gates and audit trail
- 30 days' support
Automation Care
Monthly
Keep it running and improving.
- Monitoring and fixes
- A new workflow each month
- Model and tool updates
- Cancel any time
Workflows we build
Examples of what we build. Each one keeps a person in charge of the decisions that matter.
Email to order in Odoo
ProblemOrders arrive by email and get retyped into Odoo.
What we buildAI reads the email and attachments, extracts the lines and creates a draft order in Odoo, flagging mismatches.
SystemsOdoo, Outlook or Gmail, n8n.
Your teamApproves exceptions and confirms the order.
Finance reconciliation
ProblemManual matching across bank feeds and the ledger.
What we buildReads the feeds, matches records and highlights exceptions.
SystemsXero, NetSuite, bank feeds.
Your teamApproves exceptions only.
Customer enquiry triage
ProblemThe inbox is swamped and replies are slow.
What we buildReads each enquiry, sorts it, routes it to the right person and drafts a reply.
SystemsShared inbox or helpdesk, CRM, your knowledge base.
Your teamReviews the draft and sends.
Sales prep and follow-up
ProblemReps spend hours researching instead of selling.
What we buildPulls company news, website and CRM history into a one-page brief and a first-draft email.
SystemsHubSpot, web search, LinkedIn.
Your teamUses the brief, edits and sends.
Job sheet to invoice
ProblemTechnicians fill in paper job sheets that get typed up days later.
What we buildA mobile app captures the job, photos and signature on site and creates the invoice in Odoo.
SystemsiOS and Android app, Odoo.
Your teamChecks and sends the invoice.
Website enquiry to booked call
ProblemEnquiries sit in an inbox until someone gets to them.
What we buildEach enquiry is logged in the CRM, qualified, and a tailored reply is drafted straight away.
SystemsWebsite form, HubSpot or Odoo CRM, email.
Your teamApproves the reply and books the call.
From licences to habits.
Most teams use AI as a chat box. The teams getting value build a system: shared projects, repeatable skills, connected tools and a clear policy. We set that up and train your people on their own work.
Read the 6-stage guide to Claude for businessGovernance and trust
AI breaks in production in ways it never breaks in demos. We build for that from day one — so your team can operate it with confidence.
- Approval gates on every agent action that touches production data or external systems.
- Full audit trail — every decision, every data read, every output, traceable.
- Tests and rollback plans before anything goes live. No silent failure modes.
- Human-in-the-loop by design where the stakes are real.
- No AI where deterministic automation is safer. We do not use AI where deterministic automation is safer, cheaper, or more reliable.
- Data residency, privacy, and vendor review aligned to your regulatory posture.
- No model lock-in. We build so you can swap providers without rebuilding the workflow.
- Capability transfer as a deliverable. Documentation, runbooks, and hands-on walkthroughs with your team — so ownership lives with you, not with us.
What's inside the Trust Pack:
- Governance posture and approval-gate design
- Security review FAQ and data-residency posture
- Sample architecture for a production agent system
- Capability transfer commitment and runbook approach
Questions about AI & automation
Whatever fits the work: Microsoft Copilot and Copilot Studio, Azure AI Foundry, ChatGPT, Claude and Gemini for AI; n8n, Zapier, Make, Clay and Power Platform for automation. We pick the stack after we understand the problem.
We rank candidate workflows by hours saved, data readiness and risk. Most teams start with something high-volume and well defined — order entry, invoice matching, triage or follow-ups.
We align to your privacy and security posture from day one: approved tools only, least-privilege access, data residency checked, and human approval on anything that touches customers or money.
Workflows are designed so AI drafts and people approve where the stakes are real. Every action is logged, and we test with real cases before go-live.
We architect for the system, not the model. If a vendor changes pricing, terms, or degrades in quality, we can swap the underlying model without rebuilding the workflow.
We align to your regulatory posture from day one. We provide architecture documentation, data flow maps, and vendor compliance details to ensure your risk and legal teams can sign off.
Page last updated 12 October 2026
Tell us what's slowing the business down.
Thirty minutes. We'll tell you honestly whether we can help — and if we can't, who can.