Financial Services and Insurance

Banks, credit unions, lenders, insurers, wealth managers and fintech companies run on software that has to be correct, auditable and secure. PS3G provides fintech app development services and the integration, data and governance work around them, for organizations of every size: a founder building a lending or payments product, a regional insurer replacing a spreadsheet-driven process, or a technology group inside a large bank that needs extra hands on a modernization program.

We build web and mobile applications, connect them to core systems and third-party services, set up the data and AI governance that regulators and auditors expect, and keep the software running after launch. Our team works from Wilmington, Delaware with a delivery center in India.

What we build for financial firms

Financial services software development covers two kinds of systems: what customers and agents touch, and what staff use behind the scenes. We build both, usually on .NET or Node.js with React or Blazor front ends, SQL Server or PostgreSQL, and Azure or AWS.

• Customer and agent applications: account opening and onboarding flows, loan application and servicing portals, insurance quoting, policyholder and agent portals, claims intake with document upload, investor and advisor dashboards, and payment and billing screens.
• Mobile apps: banking software development for iOS and Android with biometric sign-in and push notifications, and insurance mobile app development for digital ID cards, photo-based claims, roadside requests and policy changes. We build native or cross-platform (Flutter, React Native) depending on your roadmap.
• Internal systems: underwriting workbenches, case management, exception queues, reconciliation tools, commission calculations and regulatory reporting.
• Data and reporting: warehouses and Power BI reporting for finance, risk, compliance and operations teams.

Systems we commonly integrate

Almost every project in this industry is an integration project. The usual connection points are core banking and account-processing platforms, loan origination systems, policy administration and claims systems, payment gateways and card processors, ACH and wire services exposed through your bank’s APIs, identity verification and fraud-screening services, credit bureaus, account-aggregation providers, e-signature, CRM (Salesforce, Dynamics 365) and the general ledger (SAP, Oracle, Dynamics). We document every interface and build against sandboxes first.

Typical first projects

Organization	A common first engagement	What it usually becomes
Fintech founder or small lender	A fixed-scope first version of a lending, payments or budgeting app, with identity checks and payments integrated and the compliance basics built in	A dedicated team that ships monthly after launch
Community bank, credit union or independent agency	A quoting or self-service portal that replaces PDFs, email and re-keying into the core system	Reporting, automation of back-office steps, a mobile app
Department inside a national insurer or bank	Modernizing a legacy .NET or Java portal, or integrating a new policy or loan platform with the systems around it	Staff augmentation inside your program, under your security and procurement rules

Compliance and data governance considerations

The rules depend on what you are and what data you hold. Banks and lenders work under GLBA and its Safeguards Rule, fair-lending rules such as ECOA, and examiner expectations for vendor and model risk. Insurers answer to state insurance departments, including data-security rules modeled on the NAIC insurance data security model law, and entities licensed in New York have the NYDFS cybersecurity regulation. Broker-dealers and advisers have SEC and FINRA books-and-records and supervision requirements. Anyone handling card data has PCI DSS, and public companies have SOX controls over financial reporting. Check the current official text of each rule that applies to you. This is general information, not legal advice.

For the software we build, that translates into a short list of design decisions we make on every project:

• A data inventory and classification before design, so we know which fields are customer financial information, card data or personal data, and where they flow.
• Role-based access, MFA, encryption in transit and at rest, and tamper-evident audit trails on every record that matters to an examiner.
• Retention and legal-hold rules built into the data model, not bolted on later.
• Card data kept out of your systems where possible, using tokenization and hosted payment fields to shrink PCI scope.
• Evidence as a by-product: test results, change records and access reviews you can hand to auditors.

Our data governance service sets up the ownership, policies and quality rules behind this, and our IT compliance consulting maps controls to the frameworks you are examined against. We know what operating under regulation means because we run our own regulated SaaS product, our HIPAA-compliant EHR and telehealth platform, DocVilla.

AI in financial services, governed

The AI use cases that work in this industry are the unglamorous ones: reading loan files and claims documents into structured data, routing customer emails, drafting responses for a person to approve, flagging unusual transactions for review, and answering staff questions about policies and procedures from your own documents. A fintech software development company that adds these features without governance creates a problem for your compliance team. We build governance in from the first proof of concept.

• An inventory of every AI use, including the ones already inside vendor products.
• A risk assessment per use case, with extra scrutiny where a model touches credit, pricing or claims decisions and fair-lending and explainability expectations apply.
• Human review and clear adverse-action reasoning for any decision that affects a customer.
• Logging, monitoring and periodic validation that fits banking regulators’ model risk management guidance.
• Vendor terms that keep your data out of model training, and awareness of state AI laws that may apply to consequential decisions.

Our AI governance service produces the policy, inventory and risk assessments; our development team ships the use case. For most firms the first step is one well-chosen document-processing workflow, measured before it is expanded.

How we work with financial firms

Choose the model that fits the work: a fixed-scope project for a defined deliverable, a dedicated team or staff augmentation that scales month to month, managed services where we run the application under defined SLAs, or advisory for assessments and roadmaps. How we start: a first conversation, a short assessment and a written proposal.

Request a fixed-scope quote for your next application or integration.

Related services

• Web application development: portals, workbenches and SaaS products built on .NET or Node.js.
• Mobile app development: banking and insurance apps for iOS and Android.
• Data governance: ownership, policies, classification and quality rules for regulated data.
• AI governance: inventory, risk assessment and controls for AI in regulated decisions.
• IT compliance consulting: control mapping, evidence and questionnaire support.
• All industries we serve.

Frequently asked questions

Do you provide fintech app development services for early-stage startups?

Yes. A founder usually starts with a fixed-scope first version: one core workflow, identity checks and payments integrated through established providers, and the security and audit basics in place so the product does not need a rebuild when the first bank partner asks questions. After launch, most founders move to a dedicated team.

Can you integrate with our core banking or policy administration system?

In most cases, yes. Modern cores and policy systems expose APIs or vendor integration layers; older ones work through files, database views or middleware. We review the vendor’s documentation and sandbox, confirm what your license allows, and build a test harness before touching production.

How do you handle PCI DSS and GLBA requirements in the software you build?

We design to keep card data out of your systems using hosted payment fields and tokenization, which reduces PCI scope. For customer financial information, we apply classification, access control, encryption, logging and retention rules from the start, and we produce the documentation your Safeguards Rule program and examiners expect. Your compliance team keeps ownership of the program; we build the software to fit it.

Do you build insurance mobile apps for policyholders and agents?

Yes. Typical features are digital ID cards, policy documents, payments, claims intake with photos and location, roadside or service requests, and secure messaging. For agents, we build quoting, commission and book-of-business views. We choose native or cross-platform tooling based on your roadmap and connect the app to your policy administration and claims systems.

Can your developers work inside our security and procurement rules?

Yes. Larger firms usually ask for background checks, their own equipment or virtual desktops, access through their identity provider, and work logged in their tools. We agree these requirements, and any restrictions on offshore access to data, before the engagement starts.

What does a banking software development engagement look like?

It starts with a first conversation and a short assessment of your systems, data flows and constraints, followed by a written proposal with scope, team and timeline. Delivery runs in short increments with demos. Testing, documentation and hand-over are in scope, and you can keep us on for maintenance under defined SLAs or take the code in-house.