KI-Agent & Workflows Configuration
Unlock the Full Potential of Automation: As your specialized partner, we configure customized AI agents and robust workflows that scale your productivity and reduce your costs.
Customized AI Agents & Workflows that Sustainably Automate Your Processes.
The era of manual, repetitive work is over. We design and configure intelligent AI agents and workflows that autonomously handle complex tasks within your organization. From deep research to CRM maintenance – we create the digital workforce that truly moves you forward.
Your Added Value: Why Automation Is Essential Now.
- Efficiency Gains: Reduce processing time for complex tasks by up to 80%.
- Cost Control: Lower operational costs by automating routine processes.
- Quality Assurance: Eliminate human errors in data entry and processing.
- Focus on Core Business: Free your team from time-consuming activities so they can concentrate on strategic tasks.
Our Services: From Concept to Autonomous Execution.
We offer an end-to-end solution for implementing powerful automation systems. Our focus is on intelligently connecting state-of-the-art AI models with robust automation tools.
1. KI-Agent Configuration (Custom AI Agents)
- We develop and train specialized, autonomous AI agents tailored to your specific business requirements. These agents can make decisions, analyze data, and execute complex tasks on your behalf.
- Lead Qualification: An agent reviews and evaluates incoming inquiries based on predefined criteria.
- Knowledge Management: Building an internal agent that accesses thousands of internal documents and delivers precise answers.
- Enhanced Precision: We define clear prompt strategies and tool constraints to maximize agent reliability.
2. Workflow Automation with Activepieces
- The true power of AI unfolds only within a seamlessly integrated workflow. As experts in Activepieces (or other workflow engines), we connect your AI agents with all critical business applications.
- System Integration: We create robust workflows that exchange data between CRM (e.g., HubSpot), email, ERP, and your AI logic.
- Reliable Process Chains: From webhook triggers to final database updates – we ensure error-free automation (self-healing workflows).
- Scalability: By leveraging open-source solutions like n8n, you remain flexible and avoid vendor lock-in.
3. Deep Research & Web Automation
- Validation & Verification: We configure workflows that verify AI-generated content or forecasts through direct web research in the Perplexity Browser.
- Information Gathering: Save hours of manual research – let the agent deliver critical information directly into your workflow.
Our Technology Expertise (Keywords & Tools)
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Technologie / Funktion
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Fokus
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Ihr Nutzen
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Workflows, System Connectors, API Bridges
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Open, scalable, and flexible automation engine for any system.
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Websearch
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Agentic Browsing, Deep Research, Web Scraping
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Access to current, verified web information directly in your workflow.
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LLM-Integration
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OpenAI, Claude
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Selection of the optimal language model for each task, cost optimization.
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Tables
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Open standard for connecting AI assistants with external data sources, tools, and business systems.
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More relevant AI responses through real-time access to systems and data. Standardized integration. Vendor-independent.
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Model Context Protocol (MCP)
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Open standard for connecting AI assistants with external data sources, tools, and business systems.
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More relevant AI responses through real-time access to internal company systems and data. Standardized integration. Vendor-independent.
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Human-in-the-Loop
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Approval-Workflows, Review-Gates
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Controlled Automation with Manual Sign-off
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FAQ – Frequently Asked Questions About AI Automation
AI Agent & Automation Fundamentals
What exactly is an AI agent?
An AI agent is a software program equipped with a Large Language Model (LLM) that is capable of autonomously defining goals and executing actions to achieve those goals.
What is the difference between workflow automation and AI agents?
Workflow automation executes predefined steps (e.g., email → CRM). AI agents make independent decisions based on context and can react dynamically – they “think” along and adapt accordingly.
When do I need a web search agent?
Whenever your workflow requires up-to-date, in-depth web research. The AI agent can understand websites, navigate them, and intelligently extract the information you’re looking for.
How long does it take to implement an AI workflow solution?
Simple workflows: 1-2 weeks. Complex multi-agent systems with RAG and custom training: 4-8 weeks. After implementation, we offer training and maintenance contracts.
Activepieces & Technologie
Is configuration with Activepieces secure?
Yes, Activepieces offers various self-hosted options that give you full control over your data and workflows – a critical advantage, especially compared to cloud-based alternatives.
What makes Activepieces better than Zapier or Make?
Activepieces is open source, offers unlimited tasks in many pricing tiers, and has native AI agent support. Zapier becomes very expensive with high task volumes, Make has a steeper learning curve. Activepieces combines simplicity with flexibility.
Can I self-host Activepieces?
Yes! Activepieces offers self-hosting, so your data remains on your own servers. Ideal for GDPR compliance and sensitive business processes – especially important for German companies in GxP environments.
What is MCP (Model Context Protocol) and do I need it?
MCP enables agent-to-agent communication and advanced context passing between different AI models. Useful for complex multi-step processes where various specialized agents need to collaborate (e.g., research → analysis → report).
Can AI agents work with our existing ERP/CRM system?
Yes! Activepieces offers hundreds of predefined connectors (SAP, HubSpot, Salesforce, etc.) as well as custom API integration for proprietary systems. We analyze your existing IT landscape and create seamless integrations.
Security & Compliance
How secure is my data in automated AI workflows?
Through self-hosting options (Activepieces, n8n), your data remains in your infrastructure. Additionally, we implement encrypted connections, Role-Based Access Control (RBAC), and audit logs for GxP compliance.
What happens if an AI agent makes a mistake?
We implement human-in-the-loop mechanisms that submit critical decisions for manual approval. Additionally, we monitor agents with alerting and error handling to proactively detect errors.
Are AI workflows GxP-compliant?
Yes! As a GxP LifeScience partner, we validate your automated workflows according to CSV standards (Computer System Validation). Audit trail, change control, and data integrity are integrated into the design from the start.
Costs & ROI
How much does implementing an AI agent cost?
Costs vary depending on complexity. Simple agents (e.g., lead qualification) are more cost-effective, while complex multi-system integrations with deep research functionality require more effort. We offer a free initial analysis of your processes with a concrete cost estimate.
How quickly does the investment in AI automation pay for itself?
For typical processes (e.g., lead qualification, data capture), customers see ROI after 3-6 months through saved labor hours. We calculate the expected ROI during the initial analysis.
Do we need technical staff to maintain AI agents?
Activepieces is designed so that business users can make simple adjustments themselves. For complex changes or new agents, we offer support contracts or training.
Ready for the next step? Contact us for a free process analysis!
