Connect Your Broking, Advice and FinTech Systems

Where brokers, advisers and FinTechs get stuck

The day fills up with transfers that should not exist. A client’s details get typed into the CRM, then again into a fact-find tool, then again into a lender portal or platform. A Statement of Advice waits while someone hunts for the latest income figure across two systems that disagree. Email holds half the story, the document store holds the other half, and nobody is sure which copy is current. For a small FinTech firm the shape is similar. Features ship faster than the data behind them gets organised, and the same record lives in three services with three slightly different values.

None of this is a people problem. It is a connection problem. The tools are fine on their own. The cost sits in the gaps between them, paid in admin hours per client and in the quiet risk that the version you acted on was the wrong one.

Why a new tool rarely fixes it

The reflex is to buy another platform and hope it pulls everything together. Usually it adds a fourth place the same data has to live. A tool solves the job it was built for. It does not, on its own, make your CRM, your lodgement system and your document store agree with each other, and it will not record how a recommendation was assembled as the data moved between them.

That second point matters more in finance than almost anywhere. Under your AFS or credit licence, the NCCP rules and the Design and Distribution Obligations, how a decision was reached has to be defensible later. A platform that holds clean data but cannot show the trail of how it got there leaves you reconstructing the story by hand when ASIC or your licensee asks. The missing piece is rarely another tool. It is the wiring between the tools, built so the data is connected and the trail is kept.

How we deliver it for finance

We start with the worst hand-off, the one transfer that costs the most time or carries the most risk, and map that data flow end to end before changing anything. Then we connect the systems you already run through their APIs or a secure integration layer, prove the connection against real client volumes in a safe environment, and extend from there.

Three principles from our approach shape how we build for this sector, in this order:

• Training, security and governance first. Client financial data and your licence obligations set the boundaries before any connection is drawn. We design who can see what, where data rests and how it moves, so a new integration narrows risk rather than widening it.
• Version-controlled, documented decisions. Each step in how data is pulled together and how a recommendation is assembled is recorded and versioned. The result is an audit trail your licensee and ASIC will want, kept automatically as a by-product of the work rather than as a separate chore.
• Healthy data ecosystems. We pull client and product data into one clean, shared shape, so the same figure means the same thing in every system and your reporting and segmentation run on numbers that agree.

Every connection ships documented and versioned, so when a lender changes a feed or a platform updates an export, the fix is quick and known rather than a mystery outage.

When it is, and is not, the right call

Connecting systems is worth doing when the same data is re-keyed across several tools, when prep stalls waiting on data held elsewhere, or when your audit trail is assembled by hand. It is not worth doing if your real problem is one clumsy process inside a single tool, or if you run a tidy two-app setup that already shares data. We will say so. A simpler fix that costs you nothing is a better outcome than an integration you did not need.

One line on advice and credit decisions. Connecting and preparing data speeds the work around a recommendation. The recommendation itself stays with your licensed people. We build the prep and the trail, not the advice.

Related services and industries

This page focuses on connecting the tools and data you already run. If your work also spans hosting and environments, see Cloud and Integration. To get your records into a clean, AI-ready shape first, see Data Services. For more on this sector, see FinTech and Banking.