Overview
Claude Code adoption is stalling inside US banks, broker-dealers, asset managers, and fintechs because Copilot evaluations get blocked in CISO review, AI coding policy is still a draft, and every engineering leader has been told to "use AI" without a playbook aligned to BSA/AML, Model Risk, FINRA supervision, and NYDFS Part 500.
Anthropic's Claude for Financial Services launch and the $100M Partner Network have moved Claude from "developer tool" to "production-ready for regulated engineering." Adoption signals: JPMorgan's LLM Suite, Goldman Sachs internal Claude deployment, Morgan Stanley AtBay, and parallels at Capital One, Wells Fargo Securities, and mid-tier banks have made AI coding tooling a developer-retention issue and a board-level parity question. Regulators have moved in lockstep: FFIEC BSA/AML Examination Manual (2024), OCC Bulletin 2023-17 Third-Party Risk, FRB SR 11-7 MRM (now scoped to include AI-assisted code artifacts), FINRA Rule 3110, SEC 15c3-5, SEC 17a-4 WORM, NYDFS 23 NYCRR Part 500, PCI DSS v4.0.1, GLBA, NIST AI RMF, and ISO/IEC 42001:2024. Engineering teams need Claude Code training that speaks FS regulator + FS code — and until now there has been no FS-specialized Claude Code SKU on AWS Marketplace.
Every Claude Code / AI coding training listing on AWS Marketplace today (Slalom "Code with Claude," Forgd AI-Native Development, Slalom GenAI Activation Workshop) is industry-agnostic. None cover BSA/AML code patterns, SR 11-7 MRM documentation for AI-assisted code, FINRA 3110 supervisory hooks, SEC 15c3-5 pre-trade risk control coding, or NYDFS 500 workflows. Kriv's live E1 Claude Code Training for Healthcare Engineering proves the vertical-specialized template works; N18 replicates with full FS curriculum.
5-day curriculum (Full Enablement). Day 1 — Foundations + secure setup: Claude Code tour; model selection Opus 4.6 / Sonnet 4.6 (1M context) / Haiku 4.5; Claude on Bedrock in customer VPC with data residency and no training; IDE integrations; SOC 2 + NYDFS 500 + FFIEC InfoSec policy mapping; secrets management; CloudTrail prompt-logging. Day 2 — Core engineering patterns: monorepo prompt engineering; RAG for FS reference data; multi-file refactors; Claude-authored unit + property tests; PR review patterns; FS code-review heuristics with PII/NPI detection + GLBA boundary enforcement. Day 3 — FS-specific workflows: BSA/AML code (OFAC/SDN fuzzy-name screening, structuring detection, velocity rules, typology engines); KYC/CIP/CDD/EDD/UBO; FINRA 3110 supervisory hooks + 3120 testing scaffolds; SR 11-7 MRM code (auto-generated model docs, challenger models, validation harnesses); trade-surveillance typology scaffolds; CAT Rule 613 validators; SAR narrative drafting on Bedrock with mandatory human review. Day 4 — Security + compliance deep-dive: NPI/GLBA/PCI DSS in AI-assisted workflows; secrets management at scale; Claude-driven SBOM (SPDX/CycloneDX); OWASP Top 10 prompts; cyber-insurance questionnaire-aligned practices; NYDFS 500 + FFIEC CAT + SOC 2 review workflows; SEC 17a-4 WORM for code artifacts. Day 5 — Production rollout + ROI: phased rollout pilot→squad→org; developer productivity dashboard; AI Developer Tools Governance Committee charter; MRM doc package under SR 11-7; FFIEC exam readiness walkthrough; capstone; 30-day office hours.
Hands-on labs (2–3/day, anonymized synthetic data): Bedrock + IAM least-privilege; CloudTrail prompt logging; multi-file Java refactor; OFAC screening microservice; transaction-monitoring rules; SAR narrative tool with human-review gating; legacy COBOL-bridge Java refactor; KYC onboarding code review; SBOM generation; capstone MRM package.
Three tiers. Executive Briefing — half-day $8K (up to 15 execs; policy + governance + ROI + FFIEC/OCC/SR 11-7 positioning; no hands-on). Engineering Fundamentals — 2-day $15K (up to 20 engineers; Days 1–2 + labs). Full Enablement — 5-day $25K (up to 20 engineers; Days 1–5 + capstone + 30-day office hours). Optional Per-Team Deep-Dive $10K (1-day focus for one squad of up to 10 — trade surveillance, AML/TM, fraud, core banking modernization, digital onboarding, or insurer claims intelligence).
Important disclosures. Kriv is a member of the Anthropic Claude Partner Network (approved April 9, 2026) — partner, not an Anthropic-authorized reseller. Claude + Anthropic API are procured directly by Customer. Kriv issues no Anthropic / AWS / vendor certifications (Kriv completion certificates only); not CLE- or CPE-accredited. No legal, regulatory, or compliance advice — Customer's CISO, CCO, GC, and outside counsel review all policy. No guarantee of productivity uplift, attrition reduction, or FFIEC / OCC / FRB / SEC / FINRA exam outcomes. Anthropic API + Bedrock consumption + travel + on-site billed separately. Customer retains sole responsibility for SDLC / code-review / security / MRM integration.
Highlights
- First FS-specialized Claude Code training on AWS Marketplace — BSA/AML + OFAC/SDN screening + SR 11-7 Model Risk + FINRA Rule 3110 + SEC 15c3-5 / 17a-4 WORM + NYDFS 23 NYCRR Part 500 + PCI DSS v4.0.1 + GLBA aligned. Claude on Amazon Bedrock in customer-controlled VPC with data residency and no training on customer inputs. CloudTrail logs every prompt-to-code interaction. Model selection across Opus 4.6 (architecture + MRM) / Sonnet 4.6 (daily dev, 1M context) / Haiku 4.5 (fast review).
- Three tiers + capstone + 30-day office hours — half-day exec briefing $8K, 2-day engineering fundamentals $15K, 5-day full enablement $25K. Capstone: author MRM documentation package from existing codebase under SR 11-7. Hands-on labs anonymized synthetic data: OFAC screening microservice, transaction-monitoring rules, SAR narrative drafting on Bedrock with human-review gating, legacy COBOL-bridge Java refactor, KYC onboarding review, SBOM SPDX/CycloneDX, CAT Rule 613 validators.
- AWS Select + Databricks + Anthropic Claude Partner Network member (April 9, 2026; partner, not an Anthropic-authorized reseller). Built for regional/community banks $500M–$5B, mid-tier banks $5B–$50B, bulge-bracket and universal banks $500B+, broker-dealers, asset managers, fintech BaaS + neobanks, credit unions, insurers. Optional $10K Per-Team Deep-Dive on trade surveillance / AML / fraud / core-banking modernization / digital onboarding / claims intelligence for insurers.
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Primary contact. info@kriv.ai · +1-732-433-5564 · https://kriv.ai/support
Response SLA. First response within 2 US business days (Mon–Fri 9 am – 6 pm ET, ex-US federal holidays). Active cohorts: Lead Instructor responds within 4 business hours weekdays. Copilot-evaluation-urgency engagements compress to same business day.
Onboarding SLA. First customer contact within 2 US business days of buyer inquiry / private-offer acceptance. Classes kick off within 2–4 weeks of SOW (CISO + TPRM approval extends timing); 5–10 business days when driven by Copilot evaluation urgency.
Escalation. (1) Lead Instructor (named in SOW) → (2) Training Practice Director (info@kriv.ai ) → (3) CEO Abhinav Dangri (info@kriv.ai ).
Communication. Dedicated Microsoft Teams channel; daily standup during class delivery; 30-day post-class office hours (Full Enablement). Customer sponsor touchpoints: pre-class kickoff, mid-class checkpoint, post-class readout.
Handoff. Course materials + lab repos + capstone templates in secure file share; MRM documentation templates (SR 11-7) as Word + Excel; FFIEC exam readiness mini-guide as PDF; executive summary report within 5 business days of class end.
Out of scope. No Anthropic / AWS / official vendor certifications (Kriv completion certificates only); not CLE- or CPE-accredited; no legal, regulatory, or compliance advice — Customer's CISO, CCO, GC, outside counsel review all policy decisions; no guarantee of productivity uplift, attrition reduction, or exam outcomes.
AWS + Anthropic-side billing. Anthropic API + AWS Bedrock consumption billed directly; travel + on-site delivery pass-through (remote delivery is default).
Holiday coverage. Closed on US federal holidays; cohort schedule adjusted at SOW execution.