"We have the licences, not the workflows."
Copilot, ChatGPT or Claude are switched on, but nobody's working differently.
AI & Automation
Platform-agnosticHuman approval built inFixed scope, fixed price
Copilot, ChatGPT or Claude are switched on, but nobody's working differently.
Emails, invoices, orders and reports retyped between systems every day.
Hours of prep per account before anyone picks up the phone.
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.
Claude, OpenAI, Gemini and others provide reasoning, drafting, classification and summarisation.
Microsoft Copilot Studio, Azure AI Foundry, n8n, Zapier, Make, Power Platform and Lyzr connect AI to real workflows, systems and approvals.
Odoo and other ERPs, CRM, helpdesk, finance, email, documents and reporting — where the work actually happens.
Some work should be automated. Some work needs AI. Some work should stay human-approved.
For stable rules, triggers, structured data, routing, reminders, and repeatable system updates.
For messy language, summarisation, drafting, classification, judgement support, research, and context-heavy work.
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
PRACTICAL BUSINESS AUTOMATION
We help businesses automate everyday administration, customer follow-ups and repetitive processes using the systems they already have. From one simple workflow to complex connected operations, we focus on removing work that doesn't need to be done manually.
01
Capture missed enquiries, notify the right person and trigger appropriate follow-up so opportunities aren't forgotten.
02
Automatically remind customers about outstanding quotes and track when a response is needed.
03
Reduce manual scheduling administration with confirmations, reminders and straightforward follow-up workflows.
04
Automate appropriate payment reminders and internal notifications for outstanding invoices.
05
Capture enquiries, organise customer information, route requests and prepare timely responses.
06
Reduce repetitive data entry by keeping information aligned across the applications your business already uses.
Tell us how the process currently works. We'll help determine whether straightforward automation, AI or a more tailored solution is appropriate.
These entry prices apply to straightforward, defined workflows. Multi-system integrations, bespoke AI solutions and larger implementations are quoted separately.
Basic support keeps one simple workflow running. If you want new workflows added each month, see Automation Care below.
Discuss an Automation1–2 weeks
Find what's worth automating before you spend.
2–4 weeks
Prove the value fast with one live workflow.
Turn licences into habits.
4–8 weeks
Several automations and AI agents across the business.
Monthly
Keep it running and improving.
Examples of what we build. Each one keeps a person in charge of the decisions that matter.
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 businessAI 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.
Page last updated 18 October 2026
A practical guide to agentic AI, from simple workflows to production-ready systems. What agents are, when to use them, how to build them, and what it takes to run them in production.

Most teams use Claude as a chatbot. High-performing teams build a workflow system. The complete 6-stage guide for business leaders — Projects, Skills, Connectors, Cowork, Code.

A practitioner account of building, breaking, and hardening a multi-agent AI system for outbound sales prospecting — deployed in Lyzr, refined through seven passes over six weeks.
Thirty minutes. We'll tell you honestly whether we can help — and if we can't, who can.