Who is this for?
Australian financial planning, advice, and wealth management firms with 30 to 100 staff who already use Microsoft 365 and want practical AI workflows without hiring an AI agency or a full-time engineer. Owner-led or principal-led decision making works best. Not a fit for pure-AWS environments, enterprise procurement cycles, or marketing-content automation.
How is this different from an AI agency?
I scope every project. I build every project. I hand it over. No contractor team in the middle. No junior consultant you didn't agree to. Most AI agencies separate sales from delivery. This operation doesn't. Limited to two Builds and one Buildout per quarter because this is a one-engineer practice, not artificial scarcity.
What if my Microsoft engineer or MSP could do this themselves?
They probably could, if they had three months of focus and were not already at capacity. Most are not. I slot in to deliver the specific AI workflow without asking your existing IT to learn a new domain on top of their day job. Once the system is deployed, your team or MSP can support it without me.
Why don't you automate SOA drafting first?
Statement of Advice drafting is the most-regulated workflow in your firm. ASIC has views. Your licensee has views. Your PI insurer has views. Automating SOA generation first means navigating compliance landmines before AI has proven value in your firm at all. Annual reviews, FDS, intake, and review prep are higher-ROI and lower-risk starting points. SOA support comes later, if at all, as assisted preparation rather than automated drafting.
How do I know if we're ready for AI workflows?
Three quick tests. One, your team spends 10+ hours per week on repetitive Microsoft 365 work (reviews, FDS, intake, document prep). Two, you have at least one person who knows your business well enough to describe how a process actually runs, not just how it should run. Three, you're willing to make a decision in weeks, not quarters. If you can say yes to all three, you're ready. If not, the Audit will tell you which gap needs to close first.
What happens if you get sick or take a holiday mid-project?
Engagements are scoped at six weeks maximum for a reason. If something happens mid-project, work pauses with full written status and a clear restart date. You're never left wondering. I plan every project so a recoverable disruption stays recoverable, not catastrophic.
What is the minimum engagement?
The AUD $2,500 Audit. Single Workflow Builds run 3 to 4 weeks. The 6-week Buildout is for firms ready to deploy three workflows in series. I do not start with open-ended retainers.
Do you work with our existing stack?
Yes, if you are on Microsoft 365. You do not need to already be using Azure. I set up the Azure services (Logic Apps, Power Automate, Azure OpenAI, Document Intelligence) as part of the build inside your tenant. Most advice firms aren't deeply on Azure yet, and I handle that setup as part of the engagement. I also integrate with common advice firm CRMs (Xplan, AdviserLogic, Practifi) and business systems via API.
Where does our client data live?
Inside your Microsoft 365 tenant and your Azure subscription. Data does not move out of your environment to deliver these workflows. Microsoft 365 tenants can be configured to keep data resident in Australia, which I confirm as part of the engagement. Important for AFSL-licensed firms answering to ASIC on data handling.
Will you compete with our existing MSP?
No. I work alongside your MSP. They handle day-to-day support. I deliver specialist AI workflow projects that may not be in their standard service catalogue. In many engagements I coordinate directly with the MSP so they understand what has been deployed and how to support it.
What if I am not technical?
Normal. You need to know the business problem, who owns the process, and what good looks like. I handle the technical design and explain the trade-offs in plain English.
What is not a fit?
Vague "let's explore AI" projects, chatbot ideas with no operational owner, pure marketing-content automation, SOA drafting automation as the first deliverable, and enterprise procurement processes that take longer than the project itself.