Build or Buy a Financial Crime Platform: The Long-Term Test
Build versus buy decisions are often shaped by what happens during implementation, but that only tells part of the story. What matters more is how that decision holds up over time.
Independent research from Chartis, commissioned by LexisNexis® Risk Solutions¹, helps explain why that matters. Institutions are investing in Risk Orchestration platforms to bring fraud and AML operations together and scale more effectively, yet while 78% cite scalability as a key driver, 37% of organisations that built their own platform said they struggled to handle volumes at the level expected. That is a meaningful gap, and it suggests many platform decisions are still being judged too close to go-live rather than against the longer-term reality they are supposed to support.
Independent research from Chartis, commissioned by LexisNexis® Risk Solutions¹, helps explain why that matters. Institutions are investing in Risk Orchestration platforms to bring fraud and AML operations together and scale more effectively, yet while 78% cite scalability as a key driver, 37% of organisations that built their own platform said they struggled to handle volumes at the level expected. That is a meaningful gap, and it suggests many platform decisions are still being judged too close to go-live rather than against the longer-term reality they are supposed to support.
In the early stages, most approaches can look effective. Manual effort may drop, with early improvements often showing up in customer onboarding speed and detection. The harder part usually comes later, when case volumes rise and the platform must keep up with changing demands.
The differences between approaches tend to become clearer once the platform is part of day-to-day operations. At that point, the question becomes how well it adapts and how much effort it takes to keep it performing as expected. In the research, purchased platforms were more likely to deliver value faster and scale more effectively over time. Buyers also reported higher satisfaction and fewer performance issues, which says a lot about how these platforms behave once they move from project phase into everyday use.
That does not mean building is the wrong choice in every case. Building is often driven by a need for control, and there are situations where that logic makes sense. Owning the stack can allow an institution to shape workflows, models, and decisioning around its own business in a way that feels more precise and more closely aligned to internal needs. The difficulty is that control at the outset does not always feel the same once the platform has to be maintained. What begins as flexibility can slowly turn into obligation, and the question becomes less about whether an organisation can build and more about whether building and maintaining core platform technology is really where it wants to keep focusing its effort.
Even then, the financial picture is only part of the decision. A platform strategy can appear efficient in year one and still create real friction by year three, especially when change cycles begin to slow and operational strain starts to build in places that were never fully accounted for in the original business case. By the time those pressures become visible, the platform is often deeply embedded, which makes the decision harder to revisit and more expensive to unwind.
In practice, build versus buy is better understood as an operating model decision rather than a purely technical one. For some institutions, the right answer may be to build. For others, it may be to buy. In many cases, it may sit somewhere in between, combining internal capability with external platform support in a way that reflects the organisation’s priorities and long-term goals. What matters is which approach the organisation can sustain as pressure builds, because that is when the strain on internal teams becomes harder to ignore.
For financial crime teams, the real test is not whether a platform performs well at launch, but whether it keeps up when conditions become more demanding. The challenge is not simply choosing one route over another. It is deciding what kind of long-term burden the organisation is prepared to carry, and whether that choice will still make sense once the platform is embedded and harder to reshape.
The differences between approaches tend to become clearer once the platform is part of day-to-day operations. At that point, the question becomes how well it adapts and how much effort it takes to keep it performing as expected. In the research, purchased platforms were more likely to deliver value faster and scale more effectively over time. Buyers also reported higher satisfaction and fewer performance issues, which says a lot about how these platforms behave once they move from project phase into everyday use.
That does not mean building is the wrong choice in every case. Building is often driven by a need for control, and there are situations where that logic makes sense. Owning the stack can allow an institution to shape workflows, models, and decisioning around its own business in a way that feels more precise and more closely aligned to internal needs. The difficulty is that control at the outset does not always feel the same once the platform has to be maintained. What begins as flexibility can slowly turn into obligation, and the question becomes less about whether an organisation can build and more about whether building and maintaining core platform technology is really where it wants to keep focusing its effort.
The research also shows how quickly that burden can grow. Technical complexity became a problem for 67% of builders, while only 31% felt they had estimated the internal teams and resources required accurately, and up to 27% expected significant upgrades or full replacement within three years.
That does not point to a lack of technical capability. Most institutions can build. What it does suggest is that the long-term responsibility can be heavier than expected, especially in a regulated environment where requirements continue to change and operational demands do not stand still while teams catch up.
Even then, the financial picture is only part of the decision. A platform strategy can appear efficient in year one and still create real friction by year three, especially when change cycles begin to slow and operational strain starts to build in places that were never fully accounted for in the original business case. By the time those pressures become visible, the platform is often deeply embedded, which makes the decision harder to revisit and more expensive to unwind.
In practice, build versus buy is better understood as an operating model decision rather than a purely technical one. For some institutions, the right answer may be to build. For others, it may be to buy. In many cases, it may sit somewhere in between, combining internal capability with external platform support in a way that reflects the organisation’s priorities and long-term goals. What matters is which approach the organisation can sustain as pressure builds, because that is when the strain on internal teams becomes harder to ignore.
For financial crime teams, the real test is not whether a platform performs well at launch, but whether it keeps up when conditions become more demanding. The challenge is not simply choosing one route over another. It is deciding what kind of long-term burden the organisation is prepared to carry, and whether that choice will still make sense once the platform is embedded and harder to reshape.
1. Chartis Research, commissioned by LexisNexis® Risk Solutions, Build vs. Buy Platform Study.
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