We are heavily regulated. Can AI be used safely under the AFSL regime?+
Yes, and we design for the AFSL environment from the first workshop. Every engagement starts with governance: where client data lives, who can access it, what the AI is and is not allowed to touch, and a full audit trail of every draft it produces. The AI never gives advice. It prepares and structures work that your advisers and compliance team review, adjust and approve. Human-in-the-loop controls, retained file notes and clear usage boundaries are built to respect your AFSL obligations and the FASEA-derived Code of Ethics. Responsible AI is the foundation, not something bolted on afterwards.
Will AI-generated SoAs pass our compliance team?+
The AI drafts from your own SoA templates, your client's fact-find and risk profile, and your firm's documented advice rationale. It assembles the scope, the strategy rationale, the product comparison narrative, the fee disclosure and the record of the client's goals into a structured first draft. Your paraplanners and compliance team then review, correct and finalise, but they start from a near-complete document rather than a blank page. It does not decide the strategy or replace the adviser's judgment. Most firms see SoA production drop from a half-day exercise to under an hour, with fewer version-control errors and more consistent formatting across advisers.
Does it work with Xplan, AdviserLogic, Practifi and other Australian platforms?+
Yes. We integrate with the platforms Australian advice firms actually run on: Xplan, AdviserLogic, Practifi, WealthSolver, Worksorted, Midwinter and Salesforce Financial Services Cloud. The AI reads from and writes back into your existing planning software, CRM and document management, so advisers keep working in the tools they know. We augment your platform rather than replace it, which means no data migration project and no retraining your team on new systems.
What about client data and Privacy Act obligations?+
This is designed in from day one, not treated as an afterthought. Financial advice clients hand you their entire financial life: super balances, insurance, estate intentions, tax positions and bank data. Every engagement starts with a data-handling design that maps where that information flows and respects your Privacy Act obligations, the Australian Privacy Principles and your AFSL conditions. We use Australian-hosted infrastructure, zero-retention model contracts where appropriate so client data is never used to train external models, and transparent client disclosure where required. AI Surge is Australian and NZ based with no offshore handoffs, so your client data stays onshore.
Will AI meet ASIC's best interests duty requirements?+
The AI produces a structured first draft that reflects your documented advice process and the client's specific situation, evidencing the fact-find, the goals, the scope and the strategy rationale. It does not provide financial advice and it does not replace the adviser's judgment or best interests duty. Your adviser applies professional judgment, tests the strategy against the client's objectives, and signs off, and your compliance team reviews the file. The AI accelerates preparation and improves the completeness of the record. The human professional makes and owns the advice decision. Used this way it supports, rather than substitutes for, the best interests duty and the safe harbour steps under the Corporations Act.
What does an engagement cost for a 10-50 adviser firm?+
Engagements are scoped to which workflows you activate, covering strategy, an adviser and paraplanner productivity rollout, and one bespoke build, usually onboarding automation, SoA drafting or client reporting. For a firm carrying a full-time paraplanning bottleneck or losing weeks per new client to onboarding, the ROI is usually modelled against recovered adviser and paraplanner hours and additional client capacity. We model it with your real numbers in the workshop, obligation-free.
How long until advisers see the difference?+
The productivity rollout gives advisers and paraplanners measurable time back within the first month, mostly in meeting preparation, file notes and email. SoA and onboarding automation typically goes live within 8 to 12 weeks. Client reporting platforms ship a working first version within 90 days. Most firms report feeling the difference in adviser capacity, more review meetings held and less admin backlog, within the first quarter.
Can AI help with AFSL compliance documentation and ASIC reporting?+
Yes. This is one of the highest-value applications for licensees carrying compliance overhead. AI reduces the time and cost of preparing regulatory reports, maintaining advice and complaints registers, keeping fee disclosure statements and consent renewals on track, documenting your advice process and generating audit-ready evidence for ASIC reviews and licensee audits. It surfaces missing file notes and incomplete records before an auditor does, so your practice stays audit-ready year round rather than scrambling before a review.
