Intelligent assistants
Build assistants that help teams find answers, summarize information and complete tasks inside operational tools.
AI
Intelligent systems built for real applications
Assistants. Machine learning. Automation.
GII develops AI capabilities that support business and industry applications — from intelligent assistants and document processing to machine learning integrations teams can adopt in daily work.
Capabilities
What AI delivery covers
Machine learning
Apply classification, prediction and pattern detection to business and industrial data with models suited to real use cases.
AI that fits your stack
Standalone AI demos rarely survive contact with operations. GII embeds intelligent features into the software, platforms and workflows teams already use.
Whether you need a knowledge assistant, document processing or machine-learning insights inside an existing product, we build with integration, access control and maintainability in mind.
Automation & integrations
Connect AI features with ERP, CRM, operations platforms and custom software through APIs and workflow hooks.
Related services
More paths for intelligent technology
Explore complementary services across AI transformation, software development, Industry 4.0 and IoT systems.
Talk to our teamAI Transformation
Identify, implement and scale AI use cases that improve decisions, workflows and customer experience.
Software Development
Custom software, web applications and integrations built around real operational needs.
Industry 4.0
Smart manufacturing solutions for connected machines, production data and industrial performance.
IoT & Embedded
Connected devices, sensor networks and embedded systems built for real operating environments.
Delivery process
From concept to production AI
GII follows a product-minded AI path — assess the use case, design the feature, integrate with existing systems and hand over capabilities teams can operate.
- 01
Assess
Define the problem, data sources, users and success criteria for the AI capability you want to introduce.
- 02
Design
Shape model approach, user experience, data flows and integration points with existing platforms.
- 03
Build
Develop the AI feature, models or assistant with testing against representative inputs and edge cases.
- 04
Integrate
Embed AI capabilities into applications, dashboards and workflows teams already rely on.
- 05
Validate
Review accuracy, usability, security and operating rules with stakeholders before wider rollout.
- 06
Operate
Support monitoring, retraining and refinement once the first AI feature is live in production use.
Technology in action
AI projects in practice
See how GII builds assistants, knowledge systems and document processing capabilities for operational teams.
AI AutomationGermany
AI Operations Assistant
An AI assistant embedded in daily operations workflows to route tasks, summarize cases and support service teams.
View project
AI AssistantGermany
AI Knowledge Assistant
A secure knowledge assistant that helps teams query manuals, policies and project history inside their operational platform.
View project
AI AutomationGermany
AI Document Processing
Automated classification and data extraction for inbound documents, forms and supplier records.
View projectNext step
Start with an AI prototype
Share your AI goals with GII. We will map a practical path — from the first intelligent feature to systems your teams can use every day.