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Pega and AI Components

The perfect complement to your Pega platform

We don’t solve recurring requirements from scratch in every project. Our Greenfield Components are ready-made building blocks, proven in regulated environments, that integrate seamlessly into the Pega platform — from clean data capture to documents and communication to AI-powered self-service. Every building block saves delivery time and brings proven quality with it.

Operations & Longevity

Case Archiving

Archives closed cases in a legally compliant way, for the long term.

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Durability Check

Checks applications for upgrade readiness and helps identify technical debt early.

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Data & Validation

Address Validation

Turns free-text input into structured, verified address records and prevents bad data from the start.

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Payment Validation

Automatically checks IBANs and credit card data for validity and completes them where useful.

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Documents & Communication

DIN Letter

Creates standardized, individually customizable business letters -- professional and consistent.

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QR Code

Generates QR codes server-side, directly in the process.

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WhatsApp

Integrates WhatsApp as a communication channel into Pega processes.

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File Conversion

Reliably converts file formats within the platform.

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AI & Self-Service

Service Compass

A flexible, business-agnostic self-service assistant that handles everything from simple requests to complex workflows -- for authenticated and anonymous users alike, seamlessly connected to backend systems.

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AI Component

Brings AI-powered capabilities directly into Pega processes. Where data sovereignty matters, you can deliberately choose a European language model -- for example Mistral or other European providers -- as a sovereign alternative, with no lock-in to any one vendor.

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AI Architecture

AI architecture as its own layer

Beyond individual components, we connect the world of regulated systems and architectures that have grown over time with modern AI models — through an in-house framework that brings together existing business applications and language models from multiple providers and translates them into the language of capable agents. That way, AI doesn’t become an isolated add-on, but an integral part of the existing systems landscape — traceable and controllable in regulated environments.