AI Integration & Chatbots for Fintech
LLM-powered products and intelligent agents. Engineered for Fintech.
IRPR.io helps companies integrate modern AI - large language models, retrieval-augmented generation, and autonomous agents - into production software. We specialize in AI products that actually ship: cost-controlled, latency-tuned, observable, and safe for real users.
IRPR.io engineers financial software for banks, fintech startups, wealth platforms, and payments operators. Our teams ship PCI-DSS-aligned, SOC 2-ready systems with the security posture, uptime, and audit traceability that regulated financial workloads demand.
When IRPR.io builds ai integration & chatbots for Fintech organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Fintech-specific realities: PCI-DSS, SOC 2, and KYC/AML compliance from day one, Real-time transaction processing at millisecond latency, Fraud, risk scoring, and adversarial-AI resilience. Every engagement we run in the Fintech space is compliance-aware from day one, with PCI-DSS, SOC 2 Type II, GDPR baked into architecture decisions — not bolted on at the end.
Every engagement runs through our IRPR framework — Idea, Roadmap, Product, Release. Fixed price set in week 2. Senior engineers from kickoff to handoff. No ticket-counting.
Engineered to ship.
Not just wrappers
We don't ship thin ChatGPT wrappers. We build products where AI is one layer in a real architecture.
Eval-first mindset
Every AI feature ships with an evaluation harness so you can measure regressions, not hope.
Real production experience
We've shipped AI to millions of users - we know what breaks at scale.
The challenges we design around.
Every sector has its own gravity — the constraints, integrations, and audit pressures that bend a build. We treat them as inputs to architecture, not afterthoughts.
PCI
PCI-DSS, SOC 2, and KYC/AML compliance from day one. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Real
Real-time transaction processing at millisecond latency. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Fraud, risk scoring, and adversarial
Fraud, risk scoring, and adversarial-AI resilience. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Core banking and ledger integrations
Core banking and ledger integrations. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
High
High-trust UX for consumers who don't tolerate bugs. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Concrete builds, not slideware.
Patterns we've shipped to production — not capabilities we'd be willing to try. Every entry below has at least one engagement behind it.
Payment gateways and orchestration layers
Where ai products meets payment gateways and orchestration layers: shipped patterns, regulated by Fintech workflows, with the audit trail and operational telemetry your team needs from day one.
Wealth management and investment platforms
Where ai products meets wealth management and investment platforms: shipped patterns, regulated by Fintech workflows, with the audit trail and operational telemetry your team needs from day one.
Lending and underwriting software
Where ai products meets lending and underwriting software: shipped patterns, regulated by Fintech workflows, with the audit trail and operational telemetry your team needs from day one.
Neobank and digital-banking apps
Where ai products meets neobank and digital-banking apps: shipped patterns, regulated by Fintech workflows, with the audit trail and operational telemetry your team needs from day one.
Crypto / digital-asset custody and trading
Where ai products meets crypto / digital-asset custody and trading: shipped patterns, regulated by Fintech workflows, with the audit trail and operational telemetry your team needs from day one.
Audit-ready by architecture.
Controls designed into the system from the architecture phase — first-pass audits are the norm, not the exception.
Payment-flow segmentation, tokenization, and scope-reduction so QSAs see a small, defensible cardholder environment.
Controls operating effectively over time — designed, evidenced, and reviewed without slowing engineering velocity.
Lawful-basis tracking, data-subject rights, cross-border transfer mechanics, and retention enforcement done right.
Financial-reporting integrity controls and change-management discipline appropriate for public-company auditors.
Financial customer information safeguards aligned to interagency guidelines and your examiner expectations.
Hand-off, not just hand-over.
Every engagement ends with a working codebase, runbooks, and a team trained to operate it. No undocumented black boxes.
- PCI scope diagram and segmentation evidence01
- Transaction-flow runbook with reconciliation procedures02
- Production codebase + infrastructure-as-code03
- Staging and production environments with parity04
- CI/CD pipeline with automated tests and rollback05
- Observability stack (logs, metrics, traces) wired in06
- Architecture documentation and runbooks07
- Knowledge-transfer sessions with your engineering team08
Idea → Roadmap → Product → Release.
What are you actually building — and for whom.
Fixed price, fixed scope, fixed timeline. No surprises.
Senior engineers ship the build — weekly demos.
Production, on-call runbooks, and your team trained.
Questions worth answering.
Let's turn your idea into a release.
Tell us what you're building. We'll come back in five days with a roadmap, a fixed price, and a dedicated team ready to ship.