I spend a lot of time talking to advice firms about their technology, and the conversation usually starts in the same place. A system isn’t quite working. The stack feels more complex than it should. There’s a sense things could be more efficient – but it’s not obvious why they aren’t.
On the surface, it sounds like a tooling problem.
But more often than not, it isn’t.
This is something that comes up again and again – and points to something deeper. That’s the focus of our latest report, Whose data is it anyway? which explores architectural control, data ownership and the infrastructure shaping the next decade of advice.
The issue isn’t the tools. It’s what sits beneath them.
Adviser tech stacks have evolved in a way that makes sense in the moment. New tools are added to solve specific needs. A CRM here, a planning tool there, a platform to support investment management. Integrations are layered in to connect things together.
Each decision is rational. But taken together, they rarely form a cohesive whole.
Instead of architecture, firms end up with accumulation. Data sits across multiple systems, integrations only go so far, and teams rely on manual workarounds to keep everything aligned. It works – but not as cleanly, or as efficiently, as it should.
As we explore in the report, what looks like day-to-day inefficiency is often a symptom of architectural constraint beneath the surface.
This becomes much more visible when something like AI enters the conversation.
There’s a lot of focus right now on what AI might do for advice firms. But AI doesn’t transform a business on its own – it sits on top of the systems and data already in place. If that foundation is fragmented or unreliable, AI amplifies the problem rather than solving it.
The real question: who controls the data?
Which is why the firms pulling ahead aren’t simply adopting new tools. They’re asking a more fundamental question: who actually controls their data?
Not just where it sits, but where the “truth” is defined, how easily it can move and how confidently it can be used. If the data is inconsistent or poorly governed, no system will perform as expected.
Advice firms are sitting on something incredibly valuable. Not just structured data like valuations or tax wrappers, but context – preferences, behaviours, relationships, life events. It’s a genuinely rich dataset, but only if it can be captured, trusted and used effectively.
What good looks like in practice
That’s where architecture matters.
The firms getting this right aren’t necessarily using more tools. They’ve just connected them deliberately. There’s clarity over where data is owned, how it flows and how change is introduced.
When that’s in place, everything else becomes easier. Data can be captured once and reused. Processes can be automated. Client experiences feel more connected. And new capabilities – including AI – can be layered in without needing to rebuild the business each time.
Importantly, this isn’t just the preserve of new, greenfield firms. While starting from scratch brings obvious advantages, established businesses are achieving the same outcome by taking a more deliberate approach – like Investment Quorum. By introducing a synchronised data layer with modern tooling, built-in orchestration and observability, they’ve aligned systems and streamlined workflows – without wholesale replacement.
By reducing duplication and automating previously manual processes, they’ve lowered technology overhead, expanded capacity and improved operating leverage – delivering more without scaling admin or cost.
The result is a setup that can adapt and evolve – without being held back by the way it was originally built.
So, whose data is it anyway?
It’s a simple question – but an important one. The report explores how to answer it: from how adviser stacks evolved to what good looks like in practice, along with a simple checklist to assess your current setup or vendors.
Download Whose data is it anyway? and see how your tech stack is really performing – and where it could be holding you back.
