Regulatory Reporting & RegTech · Finance, Risk & Compliance
Should you build or buy RegTech / Compliance?
RegTech / Compliance software helps financial institutions meet AML, KYC, and sanctions obligations by screening customers, monitoring transactions, and managing case investigations against regulatory requirements. The platforms bring together sanctions databases, adverse media feeds, and transaction monitoring rules so compliance teams can onboard customers, detect suspicious activity, and file SARs without assembling the underlying data infrastructure themselves.
The build-vs-buy decision for RegTech / Compliance turns on whether your competitive edge lives in the compliance workflow layer (which AI and open tooling are making more buildable) or in the underlying data and defensibility moat (which vendors have spent years assembling and regulators have already accepted); the specifics of your customer volume, jurisdiction footprint, and false-positive tolerance decide it.
Build it, buy it, or bridge?
When building makes sense
Building compliance infrastructure makes sense when your competitive differentiation is directly tied to onboarding speed and false-positive rates, and you have the engineering capacity to build a custom orchestration layer on top of third-party data providers. Fintechs competing on customer experience often find that the vendor's generic risk scoring generates too many false positives for their user base, and the workflow logic around intake, decisioning, and case routing is increasingly achievable with modern tooling and LLM-based orchestration. The build window is real at the workflow and integration layer. Alloy's positioning in the market reflects exactly where this line is being negotiated. The condition that matters most is honest assessment of what you're actually building: custom orchestration on top of licensed data is a reasonable build target; trying to replicate ComplyAdvantage's sanctions database from scratch is not.
When buying makes sense
Buying earns its keep when your compliance exposure requires data that vendors have spent years assembling and that regulators and courts have accepted as defensible. ComplyAdvantage's PEP lists, adverse media feeds, and Chainalysis's blockchain attribution networks are not primarily engineering problems. They are data problems. Licensing agreements, ongoing maintenance, and years of validation in actual investigations and enforcement actions are what make them defensible in an exam. NICE Actimize and Fenergo carry those assets as the foundation of their platforms. For any institution where a compliance failure creates material regulatory risk and where your compliance team is not large enough to own the full data sourcing and maintenance burden, buying is the practical path. Multi-jurisdiction AML coverage especially tips toward vendors given the update frequency required.
The desk read
AML and KYC compliance runs on data that vendors have spent years assembling. ComplyAdvantage and Chainalysis have proprietary sanctions lists, PEP databases, adverse media feeds, and blockchain attribution networks that regulators and courts have accepted as defensible. Replicating that underlying data is not primarily an engineering problem. It requires licensing agreements, ongoing data maintenance, and the kind of validation that comes from years of use in actual investigations. NICE Actimize and Fenergo carry those data assets alongside their workflow platforms.
The build case has genuine traction at the workflow and integration layer. AI has made it faster to wire compliance checks into onboarding pipelines, and point tools for specific functions like transaction monitoring rules or document verification are getting cheaper. Fintechs that onboard customers faster with lower false-positive rates have a real speed advantage over slower incumbents, and some of that advantage is achievable by building a custom orchestration layer on top of third-party data providers rather than buying a full platform. Alloy sits at that integration layer in a way that illustrates where the build-vs-buy line is actively being negotiated. The core data moat remains vendor territory; the workflow logic around it is increasingly buildable.
Frequently asked
What is RegTech / Compliance software?
RegTech / Compliance software helps financial institutions meet AML, KYC, and sanctions obligations by screening customers, monitoring transactions, and managing case investigations against regulatory requirements. The platforms bring together sanctions databases, adverse media feeds, and transaction monitoring rules so compliance teams can onboard customers, detect suspicious activity, and file SARs without assembling the underlying data infrastructure themselves.
When does building RegTech / Compliance make sense?
Building makes sense when your competitive differentiation is tied to onboarding speed and false-positive rates, and you're building a custom orchestration layer on top of licensed third-party data providers. The build window is real at the workflow and integration layer but not at the underlying data and regulatory defensibility layer, which vendors have already established.
When does buying RegTech / Compliance make sense?
Buying makes sense when your compliance exposure requires sanctions databases, PEP lists, and adverse media feeds that regulators and courts already accept as defensible. For any institution where a compliance failure creates material regulatory risk and where your team cannot own the full data sourcing and maintenance burden, buying is the practical path.
What are the main RegTech / Compliance vendors?
Representative vendors include ComplyAdvantage, Chainalysis, Alloy, Fenergo. B4 Pro scores the full set.
What is the difference between building compliance workflow and building compliance data?
These are distinct problems. Compliance workflow (intake routing, pre-clearance decisioning, case management) is increasingly buildable with AI tooling. Compliance data (sanctions lists, PEP databases, blockchain attribution networks) requires years of licensing, maintenance, and regulatory acceptance that no internal team can replicate quickly. Most firms that successfully build in this category own the workflow layer and buy the data layer.