Kodelinesoftware engineering
GDPR Web Platform

We build workflow-heavy enterprise platforms around existing processes, databases, and approvals. For portals, internal operations systems, dashboards, and regulated B2B workflows that must stay auditable and maintainable.

Build

When this service makes commercial sense

This service fits when a portal, dashboard, or B2B workflow cannot be handled by standard software and still needs to build on existing data, processes, and systems. The key question is whether the new platform can improve workflow, validation, roles, approvals, and reporting without unnecessarily replacing databases or specialist systems that already work.

Project output

What you own after the project

The primary output is not just an interface. You receive a production-ready platform with documented architecture, data integration, and operating model.

Production-ready web platform with source code and IP handover
Documented architecture, data flows, roles, and system boundaries
Deployment path, environment setup, and justified operating model: API server, serverless, or hybrid
Extension roadmap for additional modules, integrations, or migrations
TypeScript with Angular, React, or Next.js
.NET or Node.js API layer where needed
SQL Server, PostgreSQL, ERP/CRM, legacy data sources, or managed cloud databases
Azure Functions, AWS Lambda, Google Cloud Functions, or Firebase Cloud Functions when serverless is commercially justified
OpenAPI, CI/CD, permission model, tests, and audit logging
Cost drivers

Pricing follows platform risk, not screen count

Effort is not driven only by the number of screens, but by the capabilities that make the platform operationally reliable, auditable, and maintainable. We clarify these factors before fixed pricing or delivery scope.

Authentication and role-based interfaces

Approval workflows, audit logging, and GDPR deletion concepts

Database integration, sync, migration, or import/export

CI/CD, automated backups, monitoring, and operational responsibility

Anonymized project evidence

Evidence from comparable platform projects

The following anonymized project evidence shows typical technical situations without exposing protected client names, source code, or business processes.

B2B operations platform

Internal domain logic, role model, data import, and approval workflows were moved from spreadsheets and email coordination into a maintainable web platform.

Evidence: roles, audit trail, import paths, admin UI

ESG reporting system

Several data sources were consolidated for calculations, plausibility checks, and management reporting in a controllable platform.

Evidence: reporting, data model, approval workflow

Regulated partner portal

A portal with external roles, document status, and traceable changes was aligned with existing system boundaries.

Evidence: tenancy logic, permissions, handover
GDPR Web Platform

Specific delivery depth

We build workflow-heavy enterprise platforms around existing processes, databases, and approvals. For portals, internal operations systems, dashboards, and regulated B2B workflows that must stay auditable and maintainable.

Architecture

Domain logic instead of template frontend

We model business processes, permissions, and state transitions explicitly so complex workflows stay traceable.

  • Angular or React with TypeScript
  • Role and permission model
  • Auditable UI states and form logic
Integration

Data flows across system boundaries

Enterprise platforms must connect ERP, CRM, reporting, identity providers, and proprietary APIs without uncontrolled coupling.

  • API contracts and DTO boundaries
  • Validation and error paths
  • Export, reporting, and admin functions
Operations

Maintainable platform, not project debt

Code, tests, and deployment paths are structured so internal teams can keep developing after handover.

  • Component and state architecture
  • E2E tests for critical paths
  • Documented operating and handover decisions
Existing Data

Existing databases or serverless backend

SQL Server, PostgreSQL, ERP, or CRM data sources do not need to be replaced by default. When it fits the operating model, we can also design a serverless or hybrid architecture with managed databases, serverless functions, managed authentication, and event-driven workflows.

  • Read/write boundaries for legacy systems
  • API, sync, or import paths
  • Azure, AWS, Google Cloud, or Firebase based on data model, compliance, access patterns, and TCO
Example scenarios

What these platforms can look like in practice

Not generic use cases, but typical technical situations where a custom enterprise platform becomes commercially justified.

Partner portal for regulated approval workflows

Situation
A B2B company runs quotation, document, or approval workflows through email, spreadsheets, and manual follow-ups. Roles, deadlines, and versions are hard to trace.
Implementation
A role-based web platform with tenant logic, document status, comments, audit trail, notifications, and API integration into existing CRM or ERP systems.
Outcome
Less manual coordination, clearer ownership, and a traceable history for internal audits, external partners, and management reporting.

Internal operations platform for domain logic

Situation
A department relies on proprietary calculations, exceptions, and validation rules hidden in spreadsheets or legacy tools and understood by only a few people.
Implementation
A typed enterprise application with modelled business logic, validation rules, admin interfaces, reporting exports, and a backend API for later automation.
Outcome
Business logic moves from individual knowledge into a maintainable system. New team members can execute processes without knowing the entire informal history.

Dashboard for ESG, compliance, or quality data

Situation
Data lives in several sources and must be consolidated, checked, and approved for reporting, management decisions, or regulatory evidence.
Implementation
A web dashboard with data imports, calculation logic, permissions, plausibility checks, export paths, and traceable changes per dataset.
Outcome
Decision makers see reliable data instead of manual interim states. Departments keep control over data quality, approvals, and evidence obligations.
Start your project

Tell us about your business logic.

We respond within one working day. The first call qualifies scope, constraints, budget corridor, risk, and fit. Architecture decisions are handled in a paid discovery or audit phase; fixed pricing follows only after reliable scope clarification.