AI-Powered Compliance Platform

Smarter Compliance,
AI-Powered for Tomorrow's Enterprises

ComplAI is a modular platform that automates compliance functions, supports decision-making, and runs on artificial intelligence — so your team can focus on strategy, not paperwork.

\n Request a Demo →\n Explore Modules\n

\n \n

\n Overall Risk Score\n Low-to-moderate risk. Recommended for approval with standard monitoring.\n

\n 🔍\n KYC Verification\n Passed\n

\n 📑\n Contract Analysis\n 1 Flag\n

\n 🏭\n Supplier Check (KYV)\n Passed\n

\n 📋\n Policy Consistency\n Aligned\n

\n 🔗 View full report with source references →\n

\n\n\n

\n The Problem\n

Compliance Is Broken — and Getting Harder Every Year

Compliance is a fast-evolving domain that remains badly under-digitized. Mid-sized and large organizations spend 3–8% of their annual budget on compliance and internal audit processes — often on labor-intensive, manual workflows that produce human error, subjective decisions, and a lack of transparency.

In many emerging markets, compliance is a young field adopted mainly to satisfy regulatory requirements. Because compliance is rarely taught at universities, there is a serious shortage of qualified specialists. Reviewing contracts and documents takes hours and ties up teams of lawyers.

Staying compliant is hardest during periods of legislative and regulatory change — exactly when it matters most. The result is a strong, unmet need for effective, easy-to-use AI compliance tools that bring speed, objectivity, and transparency to the process.

3–8%

of annual budgets spent on compliance and audit processes

72%

of firms report difficulty hiring compliance specialists

4.2h

average time to manually review a single contract for compliance

38%

of compliance failures traced back to human error

\n\n\n

\n The Solution\n

A Modular AI Engine Built for Compliance

ComplAI replaces fragmented manual workflows with a unified, intelligent platform. Start with the modules you need today, and expand as your compliance requirements grow.

🤖

AI-First Architecture

NLP and machine-learning models trained on regulatory data power every analysis.

🧩

Modular by Design

Activate KYC, KYV, Contract Analysis, and Policy Checks independently or together.

📊

Actionable Reports

Every output includes risk scores, recommendations, and click-through source references.

🔍KYC Check

🏭KYV Check

📑Contract Analysis

📋Policy Consistency

🧠ComplAI Intelligence Engine

\n\n\n

\n Core Modules\n

Four Pillars of Automated Compliance

Each module runs independently or in concert. Activate the checks you need today and add more as your compliance program matures.

🔍

Customer Check (KYC)

KYC-based customer profiling and verification. Automate identity checks, sanctions screening, PEP detection, and adverse media scans against global watchlists — all from a single submission. Onboard faster with less risk.

🏭

Supplier Check (KYV)

KYV-based supplier verification. Validate your vendor ecosystem against regulatory requirements, beneficial-ownership registries, and financial health indicators before signing a single contract.

📑

Contract Analysis

Automated review of contracts for compliance risks — for both buyers and suppliers. Instantly flag non-standard clauses, regulatory misalignments, and missing provisions, with source-level references for every finding.

📋

Policy Consistency Check

Validates internal documents — policies, procedures, codes of conduct — for two things: internal consistency across your document corpus, and regulatory compliance (alignment with applicable legislation).

\n\n\n

\n How It Works\n

From Submission to Decision in Seconds

ComplAI generates a structured compliance report for every check. Every recommendation is backed by references — responsible staff can click through to the exact clause or source behind any finding.

Upload & Submit

Upload documents, enter entity data, or connect via API.

AI Analysis

NLP and ML models scan for risks, inconsistencies, and red flags.

Risk Scoring

A risk-scoring engine computes scores from predefined indicators.

Report & References

Summary report with explanation, recommendation, and source links.

Decide & Act

Make informed decisions backed by transparent, auditable evidence.

\n\n\n

\n Why ComplAI\n

The Compliance Advantage

ComplAI replaces slow, error-prone manual processes with instant, objective, AI-driven analysis — so your team can focus on decisions that matter.

⚡

Speed & Efficiency

Documents are checked in seconds and results delivered immediately. What once took hours now takes moments — freeing your compliance team for strategic work.

💰

Cost Reduction

Significantly lower the workload for legal and compliance teams. Automate the repetitive grunt work so fewer specialists can cover more ground.

🎯

Elimination of Human Error

Remove subjectivity, oversight, and distortion. ComplAI delivers objective, automated output — consistent every time, regardless of workload or fatigue.

🧠

NLP & ML Analysis

Natural language processing and machine learning detect risks and inconsistencies in documents and contracts, recommending specific actions based on the findings.

🔗

Transparency & Explainability

One click reveals the exact clause or source behind any recommendation. No black boxes — every decision is auditable and defensible.

🛡️

Proactive Risk Management

A risk-scoring engine computes risk scores from predefined indicators for early detection — catching issues before they become regulatory failures.

\n\n\n

\n Who It's For\n

Built for the Organizations That Need It Most

ComplAI serves regulated industries and large enterprises where compliance isn't optional — it's existential.

🏦

Financial Institutions

Banks, insurers, credit organizations, fintechs, e-money institutions, payment systems, and investment funds.

🏛️

Government Agencies

Tax authorities, customs, central banks, ministries, and law-enforcement bodies.

🏢

Mid-Size & Large Enterprises

Holdings, telecoms, oil and gas — organizations with complex compliance obligations.

🎰

Gambling & Casino Industry

Operators facing strict AML and licensing requirements across jurisdictions.

📊

Audit & Consulting Firms

Including the Big 4 — delivering compliance checks at scale via outsourcing engagements.

🌍

International Markets

Cross-border expansion demands multi-jurisdictional compliance that scales globally.

\n\n\n

\n Future Vision\n

Your Digital Lawyer and Compliance Assistant

In the long run, ComplAI becomes every entrepreneur's and manager's AI-powered compliance co-pilot — always available, always current, always objective.

🎙️

Voice-Based Contract Checks

Ask \"Is this contract risky?\" and get an instant, spoken analysis with risk scores and flagged clauses — no screen required.

🔌

Outlook & Teams Integration

Compliance checks embedded directly in the tools your team already uses. Review contracts and run KYC checks without leaving your inbox.

🔔

Real-Time Legislative Alerts

Automatic monitoring for regulatory changes that affect your business. Get notified the moment new legislation impacts your compliance posture.

\n\n\n

Ready to Automate Your Compliance?

See ComplAI in action. Request a personalized demo and discover how AI can transform your compliance operations in weeks, not months.

\n Request a Demo →\n Learn More\n

\n\n\n\n\n\n\n\n\n",[18,103],"01339170-5347-11f1-8ce5-ee650bb23af1",["D",1779169985302],"\n\n\n \n \n ComplAI — AI Compliance Platform\n \n 🛡️\" />\n \n\n\n

\n \n\n\n",[18,83],"02c0e29a-5347-11f1-8ce5-ee650bb23af1",["D",1779169987905],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { App } from \"./app.tsx\";\n\nconst dataEl = document.getElementById(\"root\")!;\nconst resp = await fetch(\"/api/dashboard\");\nconst data = await resp.json();\n\nconst root = createRoot(dataEl);\nroot.render();\n",[18,92],"fde20196-5346-11f1-a3cd-ee650bb23af1",["D",1779169979735],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState } from \"https://esm.sh/react@18.2.0\";\nimport type { Customer, ComplianceCheck, DashboardStats, RiskLevel, CheckStatus } from \"../shared/types.ts\";\n\n// ─── Helpers ────────────────────────────────────────\nconst riskColors: Record = {\n low: \"bg-green-100 text-green-800\",\n medium: \"bg-yellow-100 text-yellow-800\",\n high: \"bg-orange-100 text-orange-800\",\n critical: \"bg-red-100 text-red-800\",\n};\n\nconst statusColors: Record = {\n pending: \"bg-gray-100 text-gray-600\",\n in_progress: \"bg-blue-100 text-blue-700\",\n passed: \"bg-green-100 text-green-700\",\n failed: \"bg-red-100 text-red-700\",\n review_needed: \"bg-amber-100 text-amber-700\",\n};\n\nconst statusLabels: Record = {\n pending: \"Pending\",\n in_progress: \"In Progress\",\n passed: \"Passed\",\n failed: \"Failed\",\n review_needed: \"Review Needed\",\n};\n\nfunction Badge({ text, colorClass }: { text: string; colorClass: string }) {\n return (\n \n {text}\n \n );\n}\n\n// ─── Stat Card ──────────────────────────────────────\nfunction StatCard({ label, value, icon, accent }: { label: string; value: string | number; icon: string; accent: string }) {\n return (\n

{icon}

{label}

{String(value)}

\n );\n}\n\n// ─── Customer Table ─────────────────────────────────\nfunction CustomerTable({ customers, onSelect }: { customers: Customer[]; onSelect: (c: Customer) => void }) {\n return (\n

📋 Customer Registry

\n {customers.length} records\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n {customers.map((c) => (\n onSelect(c)} className=\"border-t border-gray-50 hover:bg-indigo-50/40 cursor-pointer transition-colors\">\n \n \n \n \n \n \n \n \n \n ))}\n \n

Customer	Type	Country	Risk	KYC	KYV	Compliance	Flags
\n {c.name} \n {c.id} \n	{c.type === \"business\" ? \"🏢 Business\" : \"👤 Individual\"}	{c.country}	\n \n				\n {c.flags.length > 0\n ? {c.flags.length} ⚠️\n : ✓}\n

Customer

Type

Country

Risk

KYC

KYV

Compliance

Flags

{c.name}

{c.id}

{c.type === \"business\" ? \"🏢 Business\" : \"👤 Individual\"}

{c.country}

\n \n

\n {c.flags.length > 0\n ? {c.flags.length} ⚠️\n : ✓}\n

\n );\n}\n\n// ─── Customer Detail Panel ──────────────────────────\nfunction CustomerDetail({ customer, checks, onClose }: { customer: Customer; checks: ComplianceCheck[]; onClose: () => void }) {\n const relatedChecks = checks.filter((ch) => ch.customerId === customer.id);\n\n return (\n

e.stopPropagation()}>\n

{customer.name}

{customer.id} · {customer.email}

\n \n

\n\n {/* Risk Overview */}\n

Risk Assessment

\n {customer.riskScore}\n

\n \n

Last checked: {customer.lastChecked}

\n\n {/* Status Grid */}\n

\n {([\"kycStatus\", \"kyvStatus\", \"complianceStatus\"] as const).map((key) => (\n

{key === \"kycStatus\" ? \"KYC\" : key === \"kyvStatus\" ? \"KYV\" : \"Compliance\"}

\n \n

\n ))}\n

\n\n {/* Flags */}\n {customer.flags.length > 0 && (\n

⚠️ Active Flags

\n {customer.flags.map((f, i) => (\n {f}\n ))}\n

\n )}\n\n {/* Checks */}\n

🤖 AI Compliance Checks

\n {relatedChecks.length === 0\n ?

No checks recorded yet.

\n : relatedChecks.map((ch) => (\n

\n {ch.type}\n \n

{ch.details}

🧠 AI Insight

{ch.aiInsights}

\n ))\n }\n

\n );\n}\n\n// ─── Main App ───────────────────────────────────────\nexport function App({ stats, customers, checks, sourceUrl }: {\n stats: DashboardStats;\n customers: Customer[];\n checks: ComplianceCheck[];\n sourceUrl: string;\n}) {\n const [selected, setSelected] = useState(null);\n const [filter, setFilter] = useState(\"all\");\n\n const filtered = filter === \"all\"\n ? customers\n : filter === \"flagged\"\n ? customers.filter((c) => c.flags.length > 0)\n : customers.filter((c) => c.riskLevel === filter);\n\n return (\n

\n {/* Header */}\n

ComplAI

AI-Powered Compliance Platform

\n view source\n

\n\n

\n {/* Stats */}\n

\n \n \n \n \n \n \n

\n\n {/* Filters */}\n

\n {[\n { key: \"all\", label: \"All\" },\n { key: \"flagged\", label: \"⚠️ Flagged\" },\n { key: \"critical\", label: \"🔴 Critical\" },\n { key: \"high\", label: \"🟠 High\" },\n { key: \"medium\", label: \"🟡 Medium\" },\n { key: \"low\", label: \"🟢 Low\" },\n ].map((f) => (\n setFilter(f.key)}\n className={`px-4 py-2 rounded-lg text-sm font-medium transition-colors ${\n filter === f.key ? \"bg-indigo-600 text-white shadow\" : \"bg-white text-gray-600 border border-gray-200 hover:bg-gray-50\"\n }`}\n >\n {f.label}\n \n ))}\n

\n\n {/* Table */}\n \n\n {/* AI Summary */}\n

🧠 AI Compliance Summary

\n 7 critical alerts require immediate attention. 2 customers have potential sanctions matches pending manual review.\n KYC pass rate is 94.7% — above the 90% regulatory threshold. \n 3 KYV checks are overdue and auto-escalated.\n AI recommends prioritizing CUST-004 (PEP match, high-risk jurisdiction) and CUST-003 (sanctions concern, UBO structure unclear).\n

\n\n {/* Detail Panel */}\n {selected && setSelected(null)} />}\n

\n );\n}\n",[18,68],"pulls","branches",1,"forks","envVars",{"_213":26,"_215":26},"connections",{"_213":26,"_214":26},"count","unfilledCount","emptyCount",{"_36":178,"_13":18,"_66":104,"_46":-5,"_38":39,"_179":43,"_180":24,"_40":275,"_42":26,"_69":105,"_182":-5,"_71":30,"_183":-5,"_232":276,"_17":277},{"_36":201,"_13":68,"_66":67,"_46":104,"_38":39,"_179":43,"_180":24,"_40":272,"_42":26,"_69":70,"_182":203,"_71":30,"_183":-5,"_232":273,"_17":274},{"_36":197,"_13":92,"_66":91,"_46":104,"_38":39,"_179":86,"_180":24,"_40":269,"_42":26,"_69":70,"_182":199,"_71":30,"_183":-5,"_232":270,"_17":271},{"_36":193,"_13":83,"_66":82,"_46":104,"_38":39,"_179":77,"_180":24,"_40":266,"_42":26,"_69":21,"_182":195,"_71":30,"_183":-5,"_232":267,"_17":268},{"_36":189,"_13":103,"_66":102,"_46":104,"_38":39,"_179":95,"_180":24,"_40":263,"_42":26,"_69":21,"_182":191,"_71":30,"_183":-5,"_232":264,"_17":265},{"_36":259,"_13":250,"_66":245,"_46":-5,"_38":39,"_179":207,"_180":24,"_40":260,"_42":26,"_69":105,"_182":-5,"_71":30,"_183":-5,"_232":261,"_17":262},{"_36":251,"_13":252,"_66":253,"_46":245,"_38":39,"_179":254,"_180":24,"_40":255,"_42":26,"_69":70,"_182":256,"_71":30,"_183":-5,"_232":257,"_17":258},{"_36":242,"_13":243,"_66":244,"_46":245,"_38":39,"_179":207,"_180":24,"_40":246,"_42":26,"_69":70,"_182":247,"_71":30,"_183":-5,"_232":248,"_17":249},{"_36":235,"_13":236,"_66":237,"_46":-5,"_38":39,"_179":142,"_180":24,"_40":238,"_42":26,"_69":21,"_182":239,"_71":30,"_183":-5,"_232":240,"_17":241},{"_36":226,"_13":227,"_66":118,"_46":-5,"_38":39,"_179":228,"_180":24,"_40":229,"_42":207,"_69":230,"_182":231,"_71":30,"_183":-5,"_232":233,"_17":234},"7f768406-5348-11f1-a743-ee650bb23af1","main.ts",8,["D",1779170626627],"http","import { Hono } from \"npm:hono@4\";\nimport { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\nimport { mockStats, mockCustomers, mockChecks } from \"./shared/mock-data.ts\";\n\nconst app = new Hono();\n\napp.onError((err) => Promise.reject(err));\n\n// API routes\napp.get(\"/api/dashboard\", (c) => {\n const val = parseVal();\n return c.json({\n stats: mockStats,\n customers: mockCustomers,\n checks: mockChecks,\n sourceUrl: val.links.self.val,\n });\n});\n\napp.get(\"/api/customers\", (c) => c.json(mockCustomers));\napp.get(\"/api/checks\", (c) => c.json(mockChecks));\n\n// AI risk analysis endpoint (simulated)\napp.post(\"/api/analyze\", async (c) => {\n const body = await c.req.json();\n const customerId = body.customerId;\n const customer = mockCustomers.find((cu) => cu.id === customerId);\n if (!customer) return c.json({ error: \"Customer not found\" }, 404);\n\n return c.json({\n customerId,\n analysis: {\n riskFactors: customer.flags,\n recommendation: customer.riskLevel === \"critical\"\n ? \"Immediate escalation to compliance officer required.\"\n : customer.riskLevel === \"high\"\n ? \"Enhanced due diligence recommended.\"\n : \"Standard monitoring sufficient.\",\n nextAction: customer.complianceStatus === \"failed\"\n ? \"Block onboarding until issues resolved.\"\n : \"Continue periodic screening.\",\n },\n });\n});\n\n// View source\napp.get(\"/source\", (c) => {\n const val = parseVal();\n return c.redirect(val.links.self.val);\n});\n\n// Serve frontend\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/landing\", (c) => serveFile(\"/frontend/landing.html\", import.meta.url));\napp.get(\"/dashboard\", (c) => serveFile(\"/frontend/index.html\", import.meta.url));\napp.get(\"/\", (c) => serveFile(\"/frontend/landing.html\", import.meta.url));\n\nexport default app.fetch;\n","children",[],[227],"8e466b7c-5348-11f1-9a75-ee650bb23af1","README.md","8e466c8a-5348-11f1-9a75-ee650bb23af1",["D",1779170651485],"# 🛡️ ComplAI — AI-Powered Compliance Platform\n\n**Smarter Compliance — AI-Powered for Tomorrow's Enterprises.**\n\nComplAI is a modular platform that automates compliance functions, supports decision-making, and runs on artificial intelligence. It covers KYC, KYV, Contract Analysis, and Policy Consistency checks.\n\n## Live URLs\n\n| Page | URL |\n|------|-----|\n| **Landing Page** | `/` or `/landing` |\n| **Dashboard** | `/dashboard` |\n| **API** | `/api/dashboard`, `/api/customers`, `/api/checks` |\n\n## Architecture\n\n```mermaid\ngraph TD\n A[Landing Page
marketing site] -->|Request Demo| B[Contact]\n C[Dashboard App
React + Hono] --> D[API Routes]\n D --> E[Mock Data Layer]\n \n subgraph Frontend\n A\n C\n end\n \n subgraph Backend\n D\n E\n end\n```\n\n## Project Structure\n\n```\nmain.ts → HTTP server (Hono), API routes, file serving\nfrontend/\n landing.html → Enterprise marketing landing page (self-contained)\n index.html → Dashboard app shell\n client.tsx → React client entry point\n app.tsx → Dashboard UI components\nshared/\n types.ts → TypeScript types (Customer, Check, etc.)\n mock-data.ts → Sample compliance data\n```\n\n## Core Modules\n\n1. **Customer Check (KYC)** — KYC-based customer profiling and verification\n2. **Supplier Check (KYV)** — KYV-based supplier verification\n3. **Contract Analysis** — Automated review for compliance risks\n4. **Policy Consistency Check** — Internal document validation\n\n## Landing Page Features\n\n- 11-section enterprise marketing page\n- Sticky nav with mobile hamburger menu\n- Hero with stylized compliance report mockup\n- Problem stats, solution overview, module cards\n- How It Works step flow, value propositions\n- Target customer segments, future vision\n- CTA band and structured enterprise footer\n- Scroll-reveal animations, responsive design\n- Inter font, blue accent palette, accessible markup\n",[],[236],"d67fc7dc-5346-11f1-ab62-ee650bb23af1","types.ts","d67fc8a4-5346-11f1-ab62-ee650bb23af1","7e136342-3a01-4fab-b9e5-4d5234157b11",["D",1779169913645],"export type RiskLevel = \"low\" | \"medium\" | \"high\" | \"critical\";\n\nexport type CheckStatus = \"pending\" | \"in_progress\" | \"passed\" | \"failed\" | \"review_needed\";\n\nexport interface Customer {\n id: string;\n name: string;\n email: string;\n type: \"individual\" | \"business\";\n country: string;\n createdAt: string;\n riskScore: number;\n riskLevel: RiskLevel;\n kycStatus: CheckStatus;\n kyvStatus: CheckStatus;\n complianceStatus: CheckStatus;\n flags: string[];\n lastChecked: string;\n}\n\nexport interface ComplianceCheck {\n id: string;\n customerId: string;\n type: \"kyc\" | \"kyv\" | \"aml\" | \"sanctions\" | \"pep\";\n status: CheckStatus;\n score: number;\n details: string;\n timestamp: string;\n aiInsights: string;\n}\n\nexport interface DashboardStats {\n totalCustomers: number;\n pendingReviews: number;\n passedToday: number;\n flaggedCritical: number;\n avgProcessingTime: string;\n complianceRate: number;\n}\n",[],[250,243],"shared","e21c1b0e-5346-11f1-b4b7-ee650bb23af1","mock-data.ts","e21c1bb8-5346-11f1-b4b7-ee650bb23af1",2,["D",1779169933140],"import type { Customer, ComplianceCheck, DashboardStats } from \"./types.ts\";\n\nexport const mockStats: DashboardStats = {\n totalCustomers: 2847,\n pendingReviews: 43,\n passedToday: 128,\n flaggedCritical: 7,\n avgProcessingTime: \"2.3 min\",\n complianceRate: 94.7,\n};\n\nexport const mockCustomers: Customer[] = [\n {\n id: \"CUST-001\",\n name: \"Acme Industries Ltd\",\n email: \"compliance@acme.com\",\n type: \"business\",\n country: \"US\",\n createdAt: \"2025-01-15\",\n riskScore: 23,\n riskLevel: \"low\",\n kycStatus: \"passed\",\n kyvStatus: \"passed\",\n complianceStatus: \"passed\",\n flags: [],\n lastChecked: \"2026-05-18\",\n },\n {\n id: \"CUST-002\",\n name: \"John Doe\",\n email: \"j.doe@email.com\",\n type: \"individual\",\n country: \"GB\",\n createdAt: \"2025-03-22\",\n riskScore: 56,\n riskLevel: \"medium\",\n kycStatus: \"passed\",\n kyvStatus: \"review_needed\",\n complianceStatus: \"in_progress\",\n flags: [\"Address mismatch\"],\n lastChecked: \"2026-05-17\",\n },\n {\n id: \"CUST-003\",\n name: \"GlobalTech Solutions\",\n email: \"legal@globaltech.io\",\n type: \"business\",\n country: \"DE\",\n createdAt: \"2025-06-10\",\n riskScore: 78,\n riskLevel: \"high\",\n kycStatus: \"review_needed\",\n kyvStatus: \"failed\",\n complianceStatus: \"failed\",\n flags: [\"Sanctions match\", \"UBO unclear\"],\n lastChecked: \"2026-05-19\",\n },\n {\n id: \"CUST-004\",\n name: \"Maria Santos\",\n email: \"m.santos@proton.me\",\n type: \"individual\",\n country: \"BR\",\n createdAt: \"2025-09-01\",\n riskScore: 91,\n riskLevel: \"critical\",\n kycStatus: \"failed\",\n kyvStatus: \"failed\",\n complianceStatus: \"failed\",\n flags: [\"PEP match\", \"Sanctions list\", \"High-risk jurisdiction\"],\n lastChecked: \"2026-05-19\",\n },\n {\n id: \"CUST-005\",\n name: \"Nordic Ventures AB\",\n email: \"info@nordicventures.se\",\n type: \"business\",\n country: \"SE\",\n createdAt: \"2025-04-18\",\n riskScore: 12,\n riskLevel: \"low\",\n kycStatus: \"passed\",\n kyvStatus: \"passed\",\n complianceStatus: \"passed\",\n flags: [],\n lastChecked: \"2026-05-16\",\n },\n {\n id: \"CUST-006\",\n name: \"Chen Wei\",\n email: \"chen.w@outlook.com\",\n type: \"individual\",\n country: \"SG\",\n createdAt: \"2025-11-30\",\n riskScore: 45,\n riskLevel: \"medium\",\n kycStatus: \"in_progress\",\n kyvStatus: \"pending\",\n complianceStatus: \"pending\",\n flags: [\"Document expiry\"],\n lastChecked: \"2026-05-19\",\n },\n];\n\nexport const mockChecks: ComplianceCheck[] = [\n {\n id: \"CHK-101\",\n customerId: \"CUST-003\",\n type: \"sanctions\",\n status: \"failed\",\n score: 87,\n details: \"Potential match found on OFAC SDN list for company director.\",\n timestamp: \"2026-05-19T10:23:00Z\",\n aiInsights: \"High confidence match (87%). The director's name closely matches an SDN entry. Recommend manual review of corporate structure and UBO documentation.\",\n },\n {\n id: \"CHK-102\",\n customerId: \"CUST-004\",\n type: \"pep\",\n status: \"failed\",\n score: 94,\n details: \"Subject identified as a Politically Exposed Person.\",\n timestamp: \"2026-05-19T09:15:00Z\",\n aiInsights: \"Subject is a former government official in a high-risk jurisdiction. Enhanced due diligence required. Source of funds documentation is incomplete.\",\n },\n {\n id: \"CHK-103\",\n customerId: \"CUST-002\",\n type: \"kyc\",\n status: \"review_needed\",\n score: 56,\n details: \"Address verification returned partial match.\",\n timestamp: \"2026-05-17T14:30:00Z\",\n aiInsights: \"Address on ID document differs from provided residential address. Possible recent relocation. Recommend requesting updated proof of address.\",\n },\n {\n id: \"CHK-104\",\n customerId: \"CUST-006\",\n type: \"kyc\",\n status: \"in_progress\",\n score: 45,\n details: \"Document verification in progress. Passport scan uploaded.\",\n timestamp: \"2026-05-19T11:00:00Z\",\n aiInsights: \"Document quality is adequate. Biometric verification pending. Estimated completion: 5 minutes.\",\n },\n {\n id: \"CHK-105\",\n customerId: \"CUST-001\",\n type: \"aml\",\n status: \"passed\",\n score: 8,\n details: \"No adverse media or AML flags detected.\",\n timestamp: \"2026-05-18T16:45:00Z\",\n aiInsights: \"Clean transaction history. All beneficial owners verified. 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Smarter Compliance,AI-Powered for Tomorrow's Enterprises

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