AI for Fintech & Financial Services
For Heads of Operations, CCOs, and CTOs at banks, challenger banks, payment processors, and FCA-regulated investment firms. Document-heavy compliance work, built as production AI systems with a human sign-off at every decision point, not a chatbot bolted onto your case management tool.
Compliance headcount doesn't scale with transaction volume
KYC packets, trade surveillance alerts, and filing data all grow with your business. The team reading them by hand doesn't, or if it does, it's the most expensive way to solve the problem.
Fenergo's 2023 KYC Trends survey of 1,164 compliance officers found average KYC review time fell from 117 to 82 days year-over-year as automation adoption rose, roughly a 30% reduction. That's the shape of what's actually achievable, not a marketing number, a documented industry figure.
We build the extraction, matching, and reporting layer, and leave the actual compliance decision exactly where it belongs: with your team.
Four systems, one pattern: extract, flag, review, act
Build-and-transfer, with an audit trail your regulator can read
Discovery
We map your current KYC, surveillance, or reporting workflow, where the manual bottleneck actually sits, what already integrates with what, and what a regulator would expect to see in an audit trail.
Build
We build the extraction, matching, or reporting pipeline on your infrastructure, not a black box, with confidence thresholds and human review gates designed in from the start.
Shadow-run
Your compliance team runs the system alongside existing process before we step back, so the switch happens on evidence, not on our say-so.
Handover
Full documentation, source code, and training. Your team owns and can audit exactly what the system does and why.
Tell us where the manual review actually happens
One conversation is enough to scope it. Fixed-fee. Human review built in, not bolted on.
info@kelriva.aiAI for Fintech & Financial Services: what buyers actually ask
Can Kelriva AI work with FCA-regulated firms?
Yes. We build systems with confidence thresholds and mandatory human review gates for any decision that carries regulatory weight, the AI extracts and flags, a person signs off. Nothing we build is designed to make an unsupervised compliance decision.
How much does AI-powered KYC automation actually save?
It depends on your check volume and current review time, which is why we built a free calculator rather than quoting a single number. Fenergo's 2023 KYC Trends survey of 1,164 compliance officers found a roughly 30% reduction in review time as automation adoption increased, our calculator uses a 25-35% range bracketing that documented figure against your own inputs.
Where is our data processed?
Systems are built on your own infrastructure or a cloud environment you control, not a shared third-party platform. Data residency, retention, and access controls are scoped explicitly during discovery, before any build work starts.
Can this integrate with our existing compliance and case management systems?
Yes. We integrate with document management platforms, case management systems, and internal APIs via REST, webhooks, or direct database connections, orchestrating around your existing stack rather than requiring you to replace it.
Is this different from the RPA our compliance team already uses?
RPA follows fixed, rule-based scripts and breaks when a document format or input changes. Our systems use AI models that read unstructured documents, handle variation, and flag genuine exceptions for review, rather than failing silently on anything outside a hard-coded pattern.
How long does a fintech AI engagement take?
The IDP Proof of Concept runs 3 to 5 weeks and starts at £8,500. Larger, multi-workflow engagements (surveillance plus reporting, for example) typically run 6 to 8 weeks. Every engagement is scoped and priced in writing before work begins.