**DRAFT — pending editorial expansion.** This article is a working draft published as scaffolding for the NINtec content programme. The current version covers the substantive perspective in compressed form; the published version will expand each section to the 2,000+ word depth the topic warrants. Editorial review is required before promotion.
Fintech Claude deployments are operationally distinct because every Claude action that touches a regulated workload becomes an auditable event. NINtec's fintech practice has shipped systems handling 3M+ daily transactions, Barron's-rated trading platforms, and compliance-letter automation across PCI DSS, MiFID II, and DORA-scope workloads.
KYC document summarisation
Claude reads incoming KYC packets, structures the unstructured documents, and produces a reviewer-ready summary with citation back to source pages. The compliance analyst remains the decision-maker; Claude reduces the routine processing time materially.
The architectural discipline: per-Claude-call audit logging, prompt registry with semver versioning, eval-bar parity blocking production prompt changes.
AML alert triage
Claude drafts the AML alert narrative, surfaces comparable historical alerts, and pre-fills the SAR draft for compliance-team review. False-positive reduction is the metric that matters; properly tuned Claude deployments can reduce routine false-positive review time by 30–50% without missing genuine signals.
Regulatory letter drafting
First-draft regulator-correspondence under firm-specific style and citation discipline. Legal teams finalise before submission. Time savings on routine correspondence are material; the audit trail of Claude-touched-then-human-reviewed satisfies regulatory accountability.
Trading narrative generation
Post-trade narratives explaining trade rationale at scale — material for surveillance and best-execution reporting under MiFID II. Claude does not make trading decisions; it explains decisions made by humans or deterministic systems.
Fintech engagements run 12–18 weeks from engagement to first production workload. Subsequent workloads typically run 6–10 weeks once the architectural foundation and regulatory mappings are in place. We deploy on AWS Bedrock or Azure for IAM and VPC controls; direct Anthropic API where simpler integrations justify it. The Discovery phase produces an eval-data-backed recommendation per workload, including specific compliance-control mappings.