AI and superannuation advice: faster work, harder questions
AustralianSuper plans staged online advice; separately, regulators scrutinise AI. Where can AI help advisers without missing rollover risks?
Most XPlan alternative guides skip the real question: whether you should leave XPlan at all. A balanced Australian guide to the five reasons firms switch, the realistic option for each, and when staying put is the right call.

Search "XPlan alternative" and almost every result is either a competitor's sales page or a list that ranks tools by feature count. Neither answers the question that actually decides it: should you leave XPlan at all.
For a lot of firms, the answer is no. XPlan runs roughly 60 per cent of the Australian advice market, has held the top planning-software ranking with Investment Trends for twelve straight years, and reports around 38,000 users through Iress. A tool does not hold that position for that long by being bad. So before the alternatives, the case for staying.
If your firm has deep XPlan workflow investment, custom integrations into a back office, and a team fluent in it, replacing XPlan is usually a bigger project than the problem you are trying to solve. The migration cost alone can swamp the gain.
XPlan is also the right answer when your constraint is integration breadth rather than speed. It connects to a wide set of platforms, super funds, and data feeds that newer tools have not built yet. If those connections are load-bearing in your practice, that is a real reason to stay.
I built AdviseWell around XPlan's workflow assumptions even where we displace it, because pretending the incumbent has no merit is how vendors lose trust. If your situation is one of the two above, the rest of this guide will tell you to stay on XPlan and add a layer, not switch. Take that at face value.
Firms that need an alternative leave over one of five specific frictions, not because XPlan is bad. Name yours before you shop.
There are five triggers. They are not equal, and the right move differs for each.
The first is cost at solo and small-practice scale. XPlan is priced and built for firms with depth. A solo adviser or a three-person practice often pays for surface area they never touch.
The second is SOA production speed. The document still takes too long. With adviser numbers down to about 15,142 in March 2026 on Padua Wealth Data's read of the register, and demand unchanged, time-per-SOA is the binding constraint in most practices, and XPlan was designed before AI changed what that step could cost.
The third is native AI and agent capability. XPlan is adding AI through partners and integrations rather than as a core, AI-native function. Firms that want AI doing the first draft end to end often find themselves bolting tools on, which means more vendors and a more fragmented audit trail.
The fourth is data sovereignty and governance. Licensees increasingly need written confirmation of where client data lives and how the AI's output is governed under ASIC RG 175. This is becoming a procurement filter, not a preference.
The fifth is UX and onboarding speed. New advisers and support staff take a long time to get fluent. For a growing firm hiring regularly, the learning curve is a recurring tax.
This is the part the feature-count lists skip. The right alternative depends entirely on which trigger you named.
Look at the lighter practice tools and the AI-native platforms that publish pricing, including AdviserLogic, Midwinter (each around 9 per cent adoption on Investment Trends data), and newer entrants with transparent plans. The test is simple: list the XPlan modules you actually use weekly, then price a tool that covers only those. If the gap is large, the cost case to switch is real. If you use most of XPlan's surface, it is not.
This is where an AI-native layer earns its place, and where AdviseWell genuinely competes. Either add an AI paraplanning or advice-generation layer over your existing stack, or move to an end-to-end OS that produces the draft document from the file note. Watch one thing: a tool that speeds drafting but breaks your audit trail is a false economy. Speed without the chain is a compliance bill deferred.
Few tools are genuinely AI-native rather than AI-bolted-on. Evaluate the ones built that way, AdviseWell among them, against XPlan-plus-a-module. The question is whether the AI touches the whole workflow, file note to SOA, inside one governed environment, or only one step. One step is a feature. The whole workflow is a different category.
Ask every vendor, XPlan included, for written confirmation of the data region for both client PII and the model-inference layer, plus how they map to ASIC RG 175 accountability. Tools that store client data in Australia and keep one audit chain have a real edge here. This is the case where AdviseWell was built specifically for the AU licensee, and where I will say plainly we are often the stronger answer.
Smaller, newer tools tend to win on intuitiveness, which is exactly what advisers told Investment Trends: the lighter players feel better to use even when they do not yet match XPlan feature for feature. If your pain is the learning curve and your feature needs are modest, that trade can be worth it. If you need the full feature set, the friendlier UX will not cover the gaps.
This is the question that stops most switches, correctly. Three things to plan.
Data export comes first. Confirm you can get client records, file notes, and historical advice out of XPlan in a usable format before you sign anything elsewhere. Ownership of your data is not the same as easy access to it.
Client transition is second. Map which client records move, in what order, and who checks them. A staged migration by client segment beats a big-bang cutover almost every time.
Dual-running is third. Budget for a window where you run both systems in parallel. It is the cost everyone forgets and the thing that makes a switch survivable. If a vendor cannot describe how dual-running works with their tool, treat that as a red flag.
Pricing transparency across this category is uneven. XPlan and Iress price through sales conversations and quote on firm size and module selection, so there is no public list to compare against. Several of the newer AI-native tools publish their prices.
AdviseWell publishes its pricing in AUD: Free for one adviser, Scale at $179 per adviser a month billed annually or $199 monthly, ex GST, with support staff included, and Enterprise quoted. Where pricing is opaque, factor the opacity itself into your evaluation: a procurement process that cannot get a number without a sales call is slower for a reason. None of the specific figures here should be treated as current without confirming directly with each vendor.
There is no single best alternative, because the right move depends on why you are leaving. Name your trigger first: cost, SOA speed, AI capability, sovereignty, or UX. Each points to a different answer, and for some firms the answer is to stay on XPlan and add a layer.
For different things. XPlan is broader and more deeply integrated across the AU platform ecosystem. AdviseWell is AI-native, end to end, stores client data in Australia, and built around the ASIC licensee accountability model. If your constraint is SOA speed, sovereignty, or governance, AdviseWell is often the stronger answer. If it is integration breadth, XPlan likely still wins.
Iress prices XPlan through sales conversations based on firm size and modules, so there is no public figure to quote. Ask for a quote scoped to the modules you actually use, not the full suite.
Yes, but confirm the export format and completeness before committing elsewhere. You own your client data. Plan the export, the staged client transition, and a dual-running window.
Iress owns XPlan. Some comparison lists treat Iress and XPlan as separate options when surveying the market. They are the same company, which matters when you are weighing genuine alternatives rather than two badges on one product.
Five recurring ones: cost at small scale, SOA production speed, the lack of native AI capability, data sovereignty and governance requirements, and the UX learning curve. Firms rarely leave over features XPlan lacks; they leave over one of these frictions.
No. For many firms the better move is to keep XPlan and add an AI paraplanning or advice layer over it. Our guide to Xplan AI workflows shows where that layer fits. Full replacement only makes sense when the friction is structural rather than a single missing capability.
The switch itself is an operational decision, but it touches your records and audit trail, which are compliance-relevant. Keep a complete, reconstructable advice trail through any migration, and confirm the new tool maintains it under ASIC RG 175.
Possibly. Tranche 2 of Delivering Better Financial Outcomes proposes replacing the SOA with a shorter, format-flexible Client Advice Record. It stalled through 2026, but the direction is set. Favour tools built around the strategy and the record rather than a fixed SOA template, because the format is the part most likely to change.
If you want to compare notes on how other firms are sequencing a move like this, that is a conversation worth having before you commit to either staying or switching.
This article is general information about software for the Australian advice profession. It is not personal advice and does not consider any firm's circumstances. Vendor capabilities, pricing, and data-residency posture change; confirm current details directly with each provider before making a procurement decision.