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Build an AI knowledge assistant with access controls

GSWE builds AI knowledge assistants for your existing applications. We connect suitable document sources with user permissions and verifiable answers for a clearly defined business use case.

Build an AI knowledge tool

Internal knowledge search should provide supported answers from permitted sources. GSWE connects document retrieval and user permissions with a test set of real business questions. Missing answers and outdated sources matter alongside relevant matches.

Case studies

AGRAChoice – Bringing a SaaS news service to marketAGRAChoice – Bringing a SaaS news service to market
AGRAChoiceAGRAChoice – Bringing a SaaS news service to market

SaaS case study on integration, frontend, and technical operations through to market readiness.

Competences

Solutions

AI Assistant System for Applications and ProcessesAI Assistant System for Applications and Processes
AI Assistant System for Applications and ProcessesAI Assistant

GSWE develops AI assistant systems to support users, processes, and digital applications.

Knowledge & Retrieval PlatformKnowledge & Retrieval Platform
Knowledge & Retrieval PlatformKnowledge Platform

Platform for AI-supported knowledge use, document search, and structured retrieval processes in complex information landscapes.

MCP Server for Integration and Data ProcessingMCP Server for Integration and Data Processing
MCP Server for Integration and Data ProcessingMCP Server

GSWE develops MCP servers for structured integration, data processing, and controllable system communication.

AI Governance Platform for AI operationsAI Governance Platform for AI operations
AI Governance Platform for AI operationsAI Governance

Platform for AI operations and traceable governance of productive AI systems.

Services

Develop AI applications and integrate functionsDevelop AI applications and integrate functions
Develop AI applications and integrate functionsDevelop AI applications

Develop AI applications and integrate functions to embed intelligent application components productively into existing software and processes.

Plan AI adoption and assess applicationsPlan AI adoption and assess applications
Plan AI adoption and assess applicationsPlan AI adoption

Plan AI adoption and assess applications to identify meaningful use cases, data requirements, and realistic paths for integration in a structured way.

Plan AI applications and prepare architecturePlan AI applications and prepare architecture
Plan AI applications and prepare architecturePlan AI applications

Plan AI applications and prepare architecture to align user context, data logic, and integration paths for reliable intelligent functions.

Plan AI development workflows and assess toolingPlan AI development workflows and assess tooling
Plan AI development workflows and assess toolingPlan AI development workflows

Plan AI development workflows and assess tooling to align assistants, roles, approvals, and quality requirements in a controlled setup.

Articles

AI integration into business applications and processesAI integration into business applications and processes
AI integration into business applications and processes

AI integration connects business applications, process logic, and productive AI usage in dependable system landscapes.

AI Integration in Software and Business SystemsAI Integration in Software and Business Systems
AI Integration in Software and Business Systems

AI integration in software: connect systems, use data and integrate artificial intelligence into existing applications.

Commissioning an AI knowledge assistant: access and qualityCommissioning an AI knowledge assistant: access and quality
Commissioning an AI knowledge assistant: access and quality

Using AI with internal documents: the source, permission and answer-quality requirements to clarify before commissioning a knowledge assistant.

Data Architecture for Scalable AI SystemsData Architecture for Scalable AI Systems
Data Architecture for Scalable AI Systems

Clean data architecture is the foundation for AI, automation and scalable systems.

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Posts

Restrict AI access before generating an answerRestrict AI access before generating an answer
Restrict AI access before generating an answer

An assistant should receive only sources the current user is authorized to access.

Evaluate AI responses against a stable test setEvaluate AI responses against a stable test set
Evaluate AI responses against a stable test set

One convincing example does not replace repeatable quality evaluation.

Bound AI tools with explicit approval rulesBound AI tools with explicit approval rules
Bound AI tools with explicit approval rules

Reading, preparing and executing require different technical permissions.

Treat a model switch as an application changeTreat a model switch as an application change
Treat a model switch as an application change

New models can change response behavior, tool calls and failure modes.

Let’s talk about your project

+4938347750730info@gswe.de@gswe_gmbh