Fintech & Banking · Prototype → Production
The demo passed. Now it has to pass security review.
We take a working fintech prototype and add the things that were never in scope: real auth, migrations, secrets handling, audit logging, and a test suite that survives the next regeneration.
- Auth, DB, payments wired in
- Zero-regression code audit
- 30–60 day launch window
- Post-launch support included
What we build
Prototype → Production for fintech, specifically.
- 01
Security review readiness
Secrets out of the client bundle, tokens scoped, rate limits and RLS in place, dependency and SAST findings triaged — the checklist a bank's review will run anyway.
- 02
Money-path hardening
Idempotency keys, webhook replay handling and reconciliation on every payment route, because the generated version almost always assumes the happy path.
- 03
Auditability from day one
Append-only logs on state changes with actor, timestamp and reason — retrofitting these after launch means backfilling history you no longer have.
What we measure
- Open findings by severity, before and after
- Test coverage on money-moving paths
- Time from merge to production deploy
Instrumented in week one and reported weekly. These are the numbers the engagement is judged on — not a forecast of what they'll be.
Constraints
What has to be true in fintech.
- 01
Every answer needs a receipt
We ground responses in your own documents and return the citation with the answer. If the retrieval finds nothing, the system says so instead of improvising — that refusal path is tested like any other feature.
- 02
Models never move money
The LLM classifies, drafts and retrieves. Balance changes, limit increases and refunds run through your existing deterministic services behind an approval step, with the full prompt and decision written to an audit log.
- 03
Data residency is a build constraint, not a setting
For RBI, PCI-DSS and SOC 2 scopes we deploy inside your VPC or account with zero data egress, and pick models — including open-weights — that can legally sit where your data sits.
How it runs
The Prototype → Production engagement, step by step.
- 1
Code audit
We review every file. Find dead code, hidden bugs, security holes, and cost traps left by the generator. Send you a written report.
- 2
Foundation
Real auth (Clerk / Auth.js), real database (Postgres / Supabase) with migrations and RLS, real payments (Stripe), real env management.
- 3
Tests + CI
Vitest + Playwright + GitHub Actions. So the next time you regenerate something with AI, the suite tells you what broke.
- 4
Production
Deploy to Vercel / Fly / Railway with monitoring, error tracking, alerting, and on-call rotation. Mobile-responsive and PWA-ready.
- 5
Handoff
Documented codebase, runbooks, and a 30-day support window. We can keep building with you, or hand it cleanly to your team.
Integrations
Systems we wire into for fintech.
- Stripe
- Razorpay
- Plaid
- Salesforce Financial Services Cloud
- Zendesk & Intercom
- Snowflake / BigQuery
- Postgres with row-level security
- Twilio
- Internal core-banking APIs
FAQ
Fintech prototype to production: your questions.
Our prototype came out of Bolt or Lovable. Is that a problem?
It's the common case, and we have a page for exactly that path — see the prototype migration guides. The generated foundation is usually fine for UI and wrong for auth, data access and payments, which is where our audit starts.
Do we have to rewrite from scratch?
Usually not. The audit tells you which parts are salvageable and which are cheaper to replace, in writing, before anyone commits to a rewrite. A full rewrite is the recommendation maybe a third of the time.
How much of my Bolt / Lovable / v0 code can you actually keep?
Usually 30–70%. We salvage your UI and product logic; we replace the auth, DB, and integration layers because those are the parts AI generators get wrong.
Can you fix it without a full rewrite?
Most of the time, yes — that's our default. We rewrite from scratch only when the codebase is genuinely too far gone, and we'll tell you which it is in the first audit.
Contact
Talk to us about prototype → production for fintech.
Two or three sentences about the workflow you'd start with. We reply within one business day.
Or skip the form — book a Calendly slot directlyadmin@neuroxai.com · +91 70149 99768
Remote-first team across India · US · EU · HQ in Udaipur, India
More for Fintech & Banking
Other work we do in this vertical.
- AI agents for fintechAgents wired into your ledger, KYC provider and helpdesk — resolving the repetitive half of the queue end to end, and escalating the rest with the context already gathered.Read
- RAG for banking and financial servicesRetrieval over circulars, product terms and internal procedure — returning the clause, the revision date, and a link to the page it came from.Read
- AI governance for financial servicesModel inventories, risk classification, evaluation policy and human-oversight design — written to survive an internal audit rather than a conference talk.Read
Same service, other industries
Prototype → Production elsewhere.
- E-commerce prototype to productionLoad, payments, inventory correctness and observability added to a storefront or marketplace prototype before real traffic finds the cracks.Read
- SaaS prototype to productionMulti-tenancy, real auth, billing, migrations and CI added to a working prototype — plus the security posture your first enterprise buyer will audit.Read
- EdTech prototype to productionAuth, roles, data protection for minors, and load behaviour added to an edtech prototype before an institution's procurement team asks about any of it.Read