Fintech SaaS development with compliance built into the schema.

Three things make fintech SaaS genuinely different at the architecture level. First, audit trail requirements: financial regulators require a complete, immutable record of every transaction, account change, and access event. Building that into the platform from day one is straightforward. Retrofitting it onto an existing system costs significantly more and sometimes requires rebuilding the data model. Second, PCI-DSS scope: any SaaS platform that handles card data has PCI-DSS obligations. The scope is determined by the architecture: platforms that tokenize card data via Stripe or Braintree and never store raw PANs have a much smaller compliance footprint than platforms that handle card data directly. That decision is made at the schema level, not after the product ships. Third, enterprise procurement requirements: the first enterprise customer will ask for SOC 2, multi-tenant data isolation, and API documentation before signing. These are not features to add later. They are architectural decisions that need to be made before development starts if you want to close enterprise deals on a predictable timeline.

Yes. We start with an audit of the existing codebase and data model before recommending an approach. For most fintech products, the migration target is schema-per-tenant: each customer gets their own database schema within a shared database server. This gives strong isolation, satisfies most enterprise procurement requirements, and is technically tractable as a migration path from a single-tenant design. The migration is planned so existing customers stay on the working product while the multi-tenant version is built and validated in parallel. Data is migrated in phases with integrity validation at each step. We document the migration plan and get sign-off from your team before any data movement happens.

We connect to Plaid (US, UK, Canada, and Europe), TrueLayer (UK, Europe, and Australia), and MX (US). Capabilities: read-only account aggregation for balance and transaction history; account verification for ACH and direct debit setup; payment initiation for account-to-account transfers; and income and asset verification for lending decisioning. For fintech SaaS platforms, the integration is typically tenant-specific, each business customer connects to their own banking data, so the integration layer needs to support multiple credential sets per tenant. We design that architecture into the platform from the start. The integration approach and data scope are confirmed during week-one discovery.

We build KYC and KYB as a configurable workflow component in the platform. KYC covers identity verification (document capture, liveness detection, AML and sanctions screening) via Jumio, Onfido, or Stripe Identity. KYB covers business entity verification (company registration checks, beneficial ownership, director identity verification) via Middesk, Stripe Treasury, or regional providers. For SaaS platforms, the KYC/KYB workflow is tenant-configurable: each business customer can set their own verification requirements and risk thresholds. Exception cases route to a compliance review queue. Verification status is written to the audit trail. The design is reviewed with your compliance team before development begins.

Cost ranges are meaningless without anchoring to compliance tier. The deal was ready to sign, then the security questionnaire arrived: that is the hidden phase. The false economy is a cheaper hourly rate with no PCI DSS or KYC background. Rework, security gaps, and audit failures cost more than the rate saved.

Billing accuracy and tenant isolation. A billing bug erodes trust fast, so ship working billing even at one pricing tier. The sensible default is shared tables plus Postgres row-level security, with database-per-tenant offered as an enterprise tier. Tenant ID is immutable and tagged at upload. The enterprise bar: SAML and SSO, RBAC, end-to-end encryption, SOC2 and HIPAA and GDPR.

Architecture strategy affects budget more than the feature list. White-label infrastructure (faster launch, built-in compliance) lets founders focus on product and growth. Licensed BaaS infrastructure like Stripe or Unit shrinks compliance scope honestly rather than cutting corners. But fintech integrations (Plaid, Stripe, core banking) take longer to build and test than non-financial equivalents: sandbox limits, webhook reliability, money-movement edge cases. US minimum: KYC and AML procedures, encryption at rest and in transit, SOC2 Type 1. Compliance is ongoing, not a one-time event.

Ask four questions. Which compliance tier are we building for, and what does that tier cost? Does the team have PCI DSS and KYC experience, or just app experience? How long does it take to spin up a new tenant, a new country, a new domain? Are billing accuracy and tenant isolation on the never-cut list? Migrate from single-tenant to multi-tenant? Yes, that is the most common growth trigger.

It depends on your product, your market, and who you are selling to. SOC 2 Type II is required by most enterprise B2B buyers before signing. It demonstrates that your security controls are audited and effective. Design for it from day one. PCI-DSS applies if your platform handles payment card data. Scope it correctly at the architecture stage by routing card data through a PCI-certified processor (Stripe, Adyen) so raw card data never touches your servers. GDPR applies to any platform handling personal data of EU residents. Data residency controls, right-to-erasure workflows, and breach notification procedures need to be in the architecture before EU customers onboard. Financial regulatory requirements (FCA, FinCEN, state money transmission) depend on your product type. We scope compliance requirements in week one and design them into the architecture before development begins.