AI Process Automation
Intelligent AI Agents, Enterprise Search and Workflow Orchestration for Your Business Processes
We develop tailored AI automation solutions using cutting-edge technologies: Autonomous AI Agents for service processes, RAG-based Enterprise Search across all company data, Intelligent Document Processing (IDP) and Multi-System Workflow Orchestration. From initial process analysis to full implementation.
through autonomous AI Agents
in IT, HR and Finance
measurable results
Your Partner for Intelligent Process Automation
For over 15 years, we've been developing digital solutions - today we use cutting-edge AI technologies: Autonomous AI Agents, RAG systems (Retrieval-Augmented Generation), Intelligent Document Processing, and Multi-Agent Orchestration. We know the challenges: Service employees search endlessly across different systems. IT tickets are manually categorized. Invoices are captured by hand. Contracts lie unstructured in folders. We solve these problems with specific AI solutions that deliver measurable results.
Why AI Automation Now?
The most common problems that AI automation solves.
Repetitive Tasks Eat Up Time
Service employees search endlessly across different systems. Tickets are manually categorized. Invoices captured by hand.
Knowledge Is Stuck in Silos
Confluence, SharePoint, emails, tickets - employees can't find information even though it exists.
Scaling Only with More Staff
Growth has meant: hire more employees. AI automation breaks this pattern.
Concrete AI Technologies We Use
From autonomous agents to enterprise search - modern AI solutions for real business problems
Autonomous AI Agents for Business Processes
Self-orchestrating agents that independently complete tasks, make decisions, and control complex workflows
What Are AI Agents?
Definition & How It Works
AI Agents are autonomous systems that achieve goals independently. Unlike traditional workflows (If-This-Then-That), agents understand context, plan actions and execute multi-step processes.
- Goal-Driven: Agent receives a goal (e.g. 'Resolve IT ticket'), plans steps independently
- Context-Aware: Understands ticket history, user data, system status
- Tool-Usage: Uses APIs, databases, internal tools to achieve goals
- Self-Correction: Detects errors and adjusts strategy
Leading companies report 20-30% faster workflows and significant cost reductions in back-office processes.
Concrete Agent Use Cases
Real-World Implementations
Practical examples from various industries:
- IT Service Desk Agent: Categorizes tickets, matches against knowledge base, resolves 40% automatically
- Insurance Claims Agent: Validates documents, checks coverage, triggers payout - 40% less processing time
- HR Onboarding Agent: Creates accounts, sends welcome email, schedules meetings, tracks progress
- Invoice Processing Agent: Extracts data, matches with PO, routes for approval, archives
Microsoft Azure: Over 1,000 documented customer transformations with AI Agents in production. ServiceNow reduces manual workloads by up to 60%.
Advantages of AI Agents Over Traditional Automation
What makes agents so powerful?
Context Understanding
Agents understand business context, not just rules. They make intelligent decisions based on history and situation.
Adaptive Workflows
Dynamically adapt to exceptions. No manual intervention needed in unexpected situations.
Multi-System Coordination
Orchestrate processes across ERP, CRM, ticketing, email - all from a single source.
Continuous Learning
Improve over time. Learn from feedback and continuously optimize performance.
Cross-System Knowledge Retrieval
One search across all systems: Confluence, SharePoint, Jira, Salesforce, emails, intranet. 40% faster information discovery (Source: Glean, Moveworks).
Natural Language Q&A
'What vacation policy applies to remote employees?' - RAG finds relevant policies, extracts the answer, shows sources. No more keyword searching.
Source Attribution & Verification
Every answer with source references. Prevents hallucinations. Users can verify original documents. Enterprise-grade trust.
Multi-Language & Semantic
Search in German, get results from English documents. Understands synonyms, context and semantics. Not just keyword matching.
RAG-based Enterprise Search: Intelligent Search Across All Systems
RAG combines semantic search with Large Language Models. Employees ask questions in natural language - the system finds relevant information in Confluence, SharePoint, tickets, emails, and delivers contextual answers with source attribution.
Intelligent Document Processing (IDP): Far Beyond OCR
IDP combines OCR, Computer Vision, and Large Language Models. Traditional OCR reads '$500' - IDP understands: 'This is the invoice amount, supplier XY, assigns to cost center Z, checks against order.' 78% of enterprises already use IDP (Market.us 2025).
Invoice & Receipt Processing
Extraction of invoice data, supplier mapping, cost center allocation. Integration with SAP, DATEV, Lexware. 95% straight-through processing.
Contract Intelligence
Contract analysis: key terms, durations, termination deadlines, liability clauses. Automatic expiry date tracking. Compliance checks against company policies.
Form & Application Processing
Insurance applications, loan applications, HR forms - automatic extraction and validation. Completeness checks. Plausibility checks.
Multi-Format Support
PDFs, scans, photos, handwriting, multi-page documents. Table recognition. Layout analysis. Works with all common formats.
Multi-System Workflow Orchestration
Coordinate complex processes across all your systems
Invoice-to-Payment Orchestration
Email receipt → IDP extracts data → ERP check against order → Finance approval workflow → Payment release → Archiving. All automatically coordinated.
IT Incident Management
Ticket receipt → AI categorizes → Knowledge base match → Solution or escalation → Automatic resolution or routing to specialist → Status updates → Ticket closure.
Customer Onboarding
Form receipt → Document validation → KYC checks → Account creation → Welcome email → CRM update → Monitoring. Multi-system process fully automated.
HR Employee Offboarding
HR triggers process → IT deactivates accounts → Finance calculates final payment → Equipment return reminder → Exit interview scheduling → Documentation.
Production-Ready Implementation.
Not Just Concept.
We don't deliver pilots, but productive AI systems with measurable business results. GDPR-compliant, on your infrastructure, with ROI guarantee.
Hybrid AI Architecture
Azure OpenAI for cloud workloads. Llama 3 / Mistral on-premise for sensitive data. We choose the best architecture for your use case. Zero-data-retention guaranteed.
Enterprise-Grade Security
GDPR-compliant. EU hosting. SOC2-certified partners. Penetration testing. Audit trails. Role-based access control. Your compliance requirements are met.
CI/CD & MLOps Pipeline
Automated testing. Model versioning. A/B testing in production. Performance monitoring. Automated retraining. DevOps for AI systems.
Continuous Improvement
Monthly performance reports. A/B tests for optimizations. User feedback loop. Model updates. Your AI system continuously improves.
AI Automation in Practice
Concrete implementations with measurable results
AI Agent Service Desk for Mid-Market Company
Autonomous AI Agent processes IT tickets: categorization, knowledge base matching, automatic resolution or routing. 45% of tickets resolved without manual intervention. First response time reduced from 2 hours to 2 minutes. Employee satisfaction +35%.
RAG Enterprise Search for SaaS Company
Cross-system search across Confluence, Jira, Salesforce, emails. Employees ask in natural language, AI delivers answers with source references. 40% faster information discovery. 60% fewer support requests to IT.
Trusted by Leading Companies
Ready for AI Automation?
Talk to us about agents, RAG search, IDP and workflow orchestration - we'll get back to you within 24 hours.
Torsten Godzisz
Director Technology
Verbindet technische Exzellenz mit pragmatischer Umsetzungsstärke. Von der Architektur bis zur Implementierung - sorgt für technische Lösungen, die in der Praxis funktionieren und langfristig Bestand haben. Entwickelt Systeme, auf die sich Kunden verlassen können.