KYC/AML Client Log Backend

KYC/AML Client Log Backend Template
ID checks, risk scoring, and PEP screening logs

Q: How can KYC/AML client log teams prove approvals and exceptions without reconstructing email threads?

It is a backend schema and API for tracking client onboarding: identity verification, risk scoring, PEP screening logs, and staff review notes.

Q: What relationships between client registry, id verification records, risk scoring make KYC/AML client log audits easier to narrate?

It includes Client (fullName, customerId, segment, onboardingState), IdentityCheck (client, idType, documentNumber, verifiedAt, verifiedBy, result), RiskAssessment (client, score, riskLevel, rationale, reviewer, assessedAt), PEPScreening (client, listSource, matchStatus, screenedAt, notes), LogEntry (client, eventType, notes, createdBy, createdAt), plus ER diagram, API playground, and an AI Agent prompt.

Q: How do we extend KYC/AML client log workflows for multi-step approvals without breaking history?

Back4app provides managed database, auth, real-time queries, and flexible schema so you can run client verification, risk scoring, and screening logs without maintaining your own backend.

Q: How do I query client logs with Flutter?

Use the Client, IdentityCheck, and PEPScreening classes to fetch the current review queue and display verification status in your Flutter UI.

Q: How do I manage reviewer access with Next.js?

Use a server action to create Parse Objects for IdentityCheck or RiskAssessment with the active reviewer pointer, and validate the change in Cloud Code.

Q: Can React Native cache screening logs offline?

Yes. Enable Local Datastore and pin Client and PEPScreening results so coordinators can keep working when the network drops.

Q: How do I prevent unauthorized changes to client verification data?

In Cloud Code beforeSave for IdentityCheck and RiskAssessment, enforce reviewer checks and reject writes from unapproved users.

Q: What is the best way to show client logs on Android?

Query Client, IdentityCheck, RiskAssessment, and PEPScreening classes to display the active review queue, then refresh as LogEntry updates arrive.

A production-ready KYC/AML Client Log backend on Back4app with client records, identity verification, risk scoring, and PEP screening logs. Includes ER diagram, data dictionary, JSON schema, API playground, and an AI Agent prompt for rapid bootstrap.

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Key Takeaways

This template gives you a KYC/AML Client Log backend with identity verification, risk scoring, and screening logs so operations teams can work from one structured source of truth.

Client identity log — Model Client and IdentityCheck objects so each verification step is tied to a named customer profile.
Risk scoring trail — Track RiskAssessment entries with explicit score, level, and reviewer fields for audit-friendly decisions.
PEP screening history — Record PEPScreening results and match notes for every rescreen event.
Operational review queue — Give managers and coordinators one place to monitor logStatus, evidenceStatus, and follow-up needs.
Cross-platform compliance backend — Serve web, mobile, and internal tools through the same REST and GraphQL API for client logs and screening workflows.

What Is the KYC/AML Client Log Template?

If KYC/AML client log sign-offs are informal, you cannot prove segregation of duties when questions arrive six months later. Small delays compound fast. Use Client, IdentityCheck, RiskAssessment, PEPScreening, and LogEntry as structured compliance primitives on Back4app so KYC/AML client log workflows stay consistent across sites and shifts. The schema covers Client (fullName, customerId, segment), IdentityCheck (client, idType, documentNumber, verifiedAt), RiskAssessment (client, score, riskLevel, reviewer), PEPScreening (client, listSource, matchStatus, screenedAt), and LogEntry (client, eventType, notes, createdBy) with auth and review controls built in. Connect your preferred frontend and ship faster.

Best for:

KYC/AML operations dashboardsClient verification portalsRisk scoring work queuesPEP screening log systemsInternal compliance toolsTeams selecting BaaS for regulated workflows

How this KYC/AML Client Log backend is organized

Mobile crews and back-office staff see different slices of reality in KYC/AML client log; the product job is to stitch those slices without blame games.

Review Client, IdentityCheck, and RiskAssessment first, then open a stack card to see SDK-specific notes and integration patterns.

Core KYC/AML Client Log Features

Every technology card in this hub uses the same KYC/AML client log schema with Client, IdentityCheck, RiskAssessment, PEPScreening, and LogEntry.

Client registry

Client holds fullName, customerId, segment, and onboardingState.

ID verification records

IdentityCheck links a Client to idType, documentNumber, and verifiedAt.

Risk scoring

RiskAssessment tracks score, riskLevel, rationale, and reviewer.

PEP screening logs

PEPScreening saves listSource, matchStatus, screenedAt, and notes.

Event log trail

LogEntry records eventType, notes, and createdBy for each client action.

Why Build Your KYC/AML Client Log Backend with Back4app?

Back4app gives you client, identity, risk, and screening primitives so managers can focus on review decisions instead of backend plumbing.

•Client and identity tracking: The Client class and IdentityCheck pointer keep passport, ID card, or tax ID checks tied to a specific customer.
•Risk scoring with review context: RiskAssessment stores score, riskLevel, and reviewer so analysts can explain why a client is low, medium, or high risk.
•PEP screening logs and replay: PEPScreening and LogEntry preserve each screening run, match status, and follow-up note for later review.

Run client verification, scoring, and screening from one backend contract across web and mobile tools.

Core Benefits

A client log backend that helps compliance teams move quickly without losing the audit trail.

Faster client review intake

Start from a complete Client and IdentityCheck schema instead of designing verification fields from scratch.

Clear risk context

Use RiskAssessment score, riskLevel, and rationale to explain why a client needs more review.

Screening history in one place

Store PEPScreening runs with the same client pointer so repeated checks are easy to compare.

Audit-friendly action trail

LogEntry keeps eventType and notes for each manual correction, escalation, or verification update.

Consistent access controls

Use ACL and CLP rules to restrict client logs, screenings, and reviewer notes to approved staff.

AI bootstrap workflow

Generate backend scaffolding and integration guidance quickly with one structured prompt.

Ready to launch your KYC/AML client log app?

Let the Back4app AI Agent scaffold your KYC/AML client log backend and generate identity, risk, and screening log flows from one prompt.

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Technical Stack

Everything included in this KYC/AML client log backend template.

Frontend

13+ technologies

Backend

Back4app

Database

MongoDB

Auth

Built-in auth + sessions

API

REST and GraphQL

Realtime

Live Queries

ER Diagram

Entity relationship model for the KYC/AML client log schema.

ER Diagram

View diagram source

Mermaid

erDiagram
    Analyst ||--o{ Client : "owner"
    Analyst ||--o{ VerificationLog : "verifiedBy"
    Analyst ||--o{ RiskAssessment : "assessedBy"
    Analyst ||--o{ PepScreening : "screenedBy"
    Analyst ||--o{ ActivityNote : "author"
    Client ||--o{ VerificationLog : "client"
    Client ||--o{ RiskAssessment : "client"
    Client ||--o{ PepScreening : "client"
    Client ||--o{ ActivityNote : "client"

    Analyst {
        String objectId PK
        String username
        String email
        String password
        String role
        Date createdAt
        Date updatedAt
    }

    Client {
        String objectId PK
        String fullName
        String externalRef
        Date dateOfBirth
        String governmentIdLast4
        String riskTier
        String ownerId FK
        Date createdAt
        Date updatedAt
    }

    VerificationLog {
        String objectId PK
        String clientId FK
        String verifiedById FK
        String idType
        String idStatus
        Date verificationDate
        String notes
        Date createdAt
        Date updatedAt
    }

    RiskAssessment {
        String objectId PK
        String clientId FK
        String assessedById FK
        Number riskScore
        String riskLevel
        String scoringRule
        String reviewStatus
        Date createdAt
        Date updatedAt
    }

    PepScreening {
        String objectId PK
        String clientId FK
        String screenedById FK
        String screeningSource
        String matchStatus
        Number matchScore
        Date screenedAt
        Date createdAt
        Date updatedAt
    }

    ActivityNote {
        String objectId PK
        String clientId FK
        String authorId FK
        String subject
        String body
        String noteType
        Date createdAt
        Date updatedAt
    }

Verification Flow

Typical runtime flow for login, client lookup, identity verification, risk scoring, and PEP screening logs.

ER Diagram

View diagram source

Mermaid

sequenceDiagram
  participant Analyst
  participant App as KYC/AML Client Log App
  participant Back4app as Back4app Cloud

  Analyst->>App: Sign in to review client logs
  App->>Back4app: POST /login
  Back4app-->>App: Session token

  Analyst->>App: Open client register
  App->>Back4app: GET /classes/Client?include=owner&order=-updatedAt
  Back4app-->>App: Client list

  Analyst->>App: Save ID verification log
  App->>Back4app: POST /classes/VerificationLog
  Back4app-->>App: VerificationLog objectId

  Analyst->>App: Run risk scoring and PEP screening
  App->>Back4app: POST /classes/RiskAssessment
  App->>Back4app: POST /classes/PepScreening
  Back4app-->>App: Assessment and screening results

  App->>Back4app: GET /classes/ActivityNote?include=client,author
  Back4app-->>App: Activity notes

  Back4app-->>App: Live updates for client log changes

Data Dictionary

Full field-level reference for every class in the KYC/AML client log schema.

Field	Type	Description	Required
objectId	String	Auto-generated unique identifier	Auto
username	String	Login name used by KYC/AML staff
email	String	Work email address
password	String	Hashed password (write-only)
role	String	Staff role such as manager, coordinator, or reviewer
createdAt	Date	Auto-generated creation timestamp	Auto
updatedAt	Date	Auto-generated last-update timestamp	Auto

7 fields in Analyst

Security and Permissions

How ACL and CLP strategy secures clients, verification steps, risk scores, and screening logs.

Staff-only review access

Only approved managers and coordinators can create or edit Client, IdentityCheck, RiskAssessment, and PEPScreening entries.

Client log integrity

Use Cloud Code to validate documentNumber, score, matchStatus, and reviewer before saving changes.

Scoped read permissions

Limit reads so staff see only the client logs and screening items assigned to their team or queue.

Schema (JSON)

Raw JSON schema definition ready to copy into Back4app or use as implementation reference.

JSON

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{
  "classes": [
    {
      "className": "Analyst",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "username": {
          "type": "String",
          "required": true
        },
        "email": {
          "type": "String",
          "required": true
        },
        "password": {
          "type": "String",
          "required": true
        },
        "role": {
          "type": "String",
          "required": true
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "Client",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "fullName": {
          "type": "String",
          "required": true
        },
        "externalRef": {
          "type": "String",
          "required": true
        },
        "dateOfBirth": {
          "type": "Date",
          "required": false
        },
        "governmentIdLast4": {
          "type": "String",
          "required": false
        },
        "riskTier": {
          "type": "String",
          "required": true
        },
        "owner": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Analyst"
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "VerificationLog",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "client": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Client"
        },
        "verifiedBy": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Analyst"
        },
        "idType": {
          "type": "String",
          "required": true
        },
        "idStatus": {
          "type": "String",
          "required": true
        },
        "verificationDate": {
          "type": "Date",
          "required": true
        },
        "notes": {
          "type": "String",
          "required": false
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "RiskAssessment",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "client": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Client"
        },
        "assessedBy": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Analyst"
        },
        "riskScore": {
          "type": "Number",
          "required": true
        },
        "riskLevel": {
          "type": "String",
          "required": true
        },
        "scoringRule": {
          "type": "String",
          "required": true
        },
        "reviewStatus": {
          "type": "String",
          "required": true
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "PepScreening",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "client": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Client"
        },
        "screenedBy": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Analyst"
        },
        "screeningSource": {
          "type": "String",
          "required": true
        },
        "matchStatus": {
          "type": "String",
          "required": true
        },
        "matchScore": {
          "type": "Number",
          "required": true
        },
        "screenedAt": {
          "type": "Date",
          "required": true
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "ActivityNote",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "client": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Client"
        },
        "author": {
          "type": "Pointer",
          "required": true,
          "targetClass": "Analyst"
        },
        "subject": {
          "type": "String",
          "required": true
        },
        "body": {
          "type": "String",
          "required": true
        },
        "noteType": {
          "type": "String",
          "required": true
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    }
  ]
}

Build with AI Agent

Use the Back4app AI Agent to generate a real KYC/AML Client Log app from this template, including frontend, backend, auth, and client verification, risk scoring, and screening log flows.

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Create a KYC/AML Client Log app backend on Back4app with this exact schema and behavior.

Schema:
1. User (use Back4app built-in): username, email, password; objectId, createdAt, updatedAt (system).
2. Client: fullName (String, required), customerId (String, required), segment (String, required), onboardingState (String, required); objectId, createdAt, updatedAt (system).
3. IdentityCheck: client (Pointer to Client, required), idType (String, required), documentNumber (String, required), verifiedAt (Date, required), verifiedBy (Pointer to User, required), result (String, required); objectId, createdAt, updatedAt (system).
4. RiskAssessment: client (Pointer to Client, required), score (Number, required), riskLevel (String, required), rationale (String, required), reviewer (Pointer to User, required), assessedAt (Date, required); objectId, createdAt, updatedAt (system).
5. PEPScreening: client (Pointer to Client, required), listSource (String, required), matchStatus (String, required), screenedAt (Date, required), notes (String); objectId, createdAt, updatedAt (system).
6. LogEntry: client (Pointer to Client, required), eventType (String, required), notes (String, required), createdBy (Pointer to User, required), createdAt (Date, required); objectId, createdAt, updatedAt (system).

Security:
- Only approved staff can create or edit client logs. Use Cloud Code for validation.

Auth:
- Sign-up, login, logout.

Behavior:
- List clients, create identity checks, record risk assessments, and save PEP screening logs.

Deliver:
- Back4app app with schema, ACLs, CLPs; frontend for client logs, verification, scoring, and screening workflows.

Press the button below to open the Agent with this template prompt pre-filled.

This is the base prompt without a technology suffix. You can adapt the generated frontend stack afterward.

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API Playground

Try REST and GraphQL endpoints against the KYC/AML client log schema. Responses use mock data and do not require a Back4app account.

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Uses the same schema as this template.

Choose Your Technology

Expand each card to see how to integrate Client, IdentityCheck, and RiskAssessment with your chosen stack.

What You Get with Every Technology

Every stack uses the same KYC/AML client log schema and API contracts.

Unified client log structure

Manage Client, IdentityCheck, RiskAssessment, PEPScreening, and LogEntry in one schema.

Identity verification workflow

Capture idType, documentNumber, verifiedAt, and verifiedBy for each client check.

Risk scoring for review queues

Use score, riskLevel, and rationale to route clients to the right reviewer.

PEP screening logs for audit trails

Keep listSource, matchStatus, and screenedAt on every screening run.

REST/GraphQL APIs for operations teams

Integrate dashboards, internal tools, and mobile review apps using flexible APIs.

KYC/AML Framework Comparison

Compare setup speed, SDK style, and AI support across all supported technologies.

Framework	Setup Time	KYC/AML Benefit	SDK Type	AI Support
Flutter	About 5 min	Single codebase for client review on mobile and web.	Typed SDK	Full
React	Under 5 minutes	Fast web dashboard for verification queues.	Typed SDK	Full
React Native	~3–7 min	Cross-platform mobile app for field verification.	Typed SDK	Full
Next.js	Rapid (5 min) setup	Server-rendered operations console for review teams.	Typed SDK	Full
JavaScript	~3–5 min	Lightweight browser integration for client logs.	Typed SDK	Full
Android	About 5 min	Native Android app for compliance staff.	Typed SDK	Full
iOS	Under 5 minutes	Native iOS app for review and screening work.	Typed SDK	Full
Vue	~3–7 min	Reactive web UI for case handling.	Typed SDK	Full
Angular	Rapid (5 min) setup	Enterprise operations app for KYC/AML teams.	Typed SDK	Full
GraphQL	Under 2 min	Flexible GraphQL API for nested client review queries.	GraphQL API	Full
REST API	Quick (2 min) setup	REST API integration for screening and log services.	REST API	Full
PHP	~3 min	Server-side PHP backend for client log tools.	REST API	Full
.NET	~3–7 min	.NET backend for compliance systems.	Typed SDK	Full

Setup time reflects expected duration from project bootstrap to first Client, IdentityCheck, or PEPScreening query using this template schema.

Frequently Asked Questions

Common questions about building a KYC/AML client log backend with this template.

How can KYC/AML client log teams prove approvals and exceptions without reconstructing email threads?

What relationships between client registry, id verification records, risk scoring make KYC/AML client log audits easier to narrate?

How do we extend KYC/AML client log workflows for multi-step approvals without breaking history?

How do I query client logs with Flutter?

How do I manage reviewer access with Next.js?

Can React Native cache screening logs offline?

How do I prevent unauthorized changes to client verification data?

What is the best way to show client logs on Android?

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Choose Technology

KYC/AML Client Log Backend TemplateID checks, risk scoring, and PEP screening logs

Key Takeaways

What Is the KYC/AML Client Log Template?

How this KYC/AML Client Log backend is organized

Core KYC/AML Client Log Features

Client registry

ID verification records

Risk scoring

PEP screening logs

Event log trail

Why Build Your KYC/AML Client Log Backend with Back4app?

Core Benefits

Faster client review intake

Clear risk context

Screening history in one place

Audit-friendly action trail

Consistent access controls

AI bootstrap workflow

Ready to launch your KYC/AML client log app?

Technical Stack

ER Diagram

Verification Flow

Data Dictionary

Security and Permissions

Staff-only review access

Client log integrity

Scoped read permissions

Schema (JSON)

Build with AI Agent

API Playground

Choose Your Technology

Flutter KYC/AML Client Log Backend

React KYC/AML Client Log Backend

React Native KYC/AML Client Log Backend

Next.js KYC/AML Client Log Backend

JavaScript KYC/AML Client Log Backend

Android KYC/AML Client Log Backend

iOS KYC/AML Client Log Backend

Vue KYC/AML Client Log Backend

Angular KYC/AML Client Log Backend

GraphQL KYC/AML Client Log Backend

REST API KYC/AML Client Log Backend

PHP KYC/AML Client Log Backend

.NET KYC/AML Client Log Backend

What You Get with Every Technology

Unified client log structure

Identity verification workflow

Risk scoring for review queues

PEP screening logs for audit trails

REST/GraphQL APIs for operations teams

KYC/AML Framework Comparison

Frequently Asked Questions

Trusted by developers worldwide

Ready to Build Your KYC/AML Client Log App?

KYC/AML Client Log Backend Template
ID checks, risk scoring, and PEP screening logs