📉 The Collins Street Bottleneck
JFP is highly successful. You have a trusted 30-year legacy, a pioneering fee-for-service model, and a high-net-worth client base. But your growth is mathematically capped by a single bottleneck.
With a 5-person team managing complex multi-entity structures (SMSFs, trusts, personal accounts), the manual documentation payload is overwhelming. The core bottleneck is the Statement of Advice.
Currently, top-tier boutique firms in Perth and regional NSW are already using tailored AI to cut their document preparation time by up to 72% (validated by EY). Melbourne boutiques are lagging. This blueprint is how JFP can be the first to modernise on Collins St.
⚖️ The Compliance-First Framework
The primary concern for any established firm adopting AI is compliance (ASIC Report 798, Best Interests Duty, Privacy Act). This blueprint relies on one non-negotiable principle:
The Golden Rule
"AI Assists. Humans Advise. No system makes a recommendation on behalf of a client without explicit adviser review and approval."
By keeping AI as a "Co-Pilot" rather than an "Autopilot," you retain the 30 years of fiduciary trust you've built, while stripping away the administrative drag.
🛠️ The Recommended Tech Stack
You don't need a single, massive enterprise software replacement. You need targeted integrations that connect your existing systems.
Xplan (Core Database)
Keep Xplan as your single source of truth. We just need to optimise the data fields so AI can pull from it cleanly without manual re-entry.
PlannerPal (Audio Intelligence)
Stop taking manual meeting notes. PlannerPal sits in the meeting, transcribes the audio, extracts client goals, and logs compliance notes directly to Xplan.
FAYBL / Custom LLM (Draft Generation)
Use financial-services-specific AI to merge the meeting transcript with the Xplan data to generate a compliant, fully-formatted SOA draft in 15 minutes.
📅 The 90-Day DIY Implementation Plan
If you want to implement this internally over the next quarter, here is exactly how you should sequence the rollout to minimize disruption to Chris and Karen.
The Data Audit
Review how data goes into Xplan. If the data is messy, the AI output will be messy. Standardise how Rachel, George, and Annie input entity structures and balances.
Deploy Meeting AI
Turn on PlannerPal for 5 non-critical client meetings. Let Chris and Karen experience walking out of a meeting with the File Note already written and saved to the client file.
Automate File Management
Map the manual tasks George and Annie are doing. Set up robotic process automation (RPA) to move files, update records, and flag missing compliance documents automatically.
The AI SOA Pilot
Run your first SOA through an AI generator. Let the system pull the data and draft the document. Karen spends 2 hours reviewing, editing, and blessing the advice, saving ~5 hours on that single document.
Why am I giving you this?
You posted a role looking for someone to help JFP step into the future. Instead of sending a standard CV and telling you what I can do, I wanted to *show* you exactly how I think.
This blueprint is yours to execute. You can hand it to your team tomorrow and start the journey.
But if you'd rather have someone build, integrate, and manage this entire process for you—while Chris and Karen stick to what they do best: advising clients—I've built a working prototype of the software. I'd love 30 minutes to show it to you.