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GOLLE IT

Your software boutique from Frankfurt. For over 16 years, we've been building Shopware plugins, apps, and web platforms for mid-market businesses.

hello@golle-it.de+49 69 348 789 10 - 0
Berger Straße 125
60385 Frankfurt am Main

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  • Hamburg
  • München

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© 2026 GOLLE Digital Solutions GmbH. All rights reserved.

Made with precision in Frankfurt|GDPR compliant
AI Agents · RAG · Computer Vision · Process Automation

AI Solutions & AI Agents for Your Business.

We build AI agents, RAG systems, and Computer Vision solutions that work autonomously: not just respond. Available 24/7, GDPR-compliant, integrable with 2,000+ business tools, with measurable ROI from day one.

Request a ConsultationView Portfolio
Free initial consultation Response within 24h Made in Frankfurt
AI Solutions & AI Agents
2,000+
Integrable Business Tools
< 2%
Hallucination Rate (RAG)
60–80%
API Cost Savings
4–6 Weeks
To First PoC

Why Now Is the Right Time for AI

Routine Tasks Eat Your Time

Order processing, customer emails, reporting, CRM maintenance, your best people spend hours on tasks that require no strategic thinking. AI agents handle this work reliably, around the clock.

Scale Without More Headcount

You want to grow, but every new task requires a new hire? AI agents scale with you, no salary, vacation, or sick days. More output with the same team.

GDPR Uncertainty Slows You Down

Which AI model can I use? Where is data processed? We rely on European models like Mistral, on-premise options, and clear data protection documentation, so you can start with confidence.

How we solve it

Our AI Solutions in Detail

AI Agents: Your Autonomous Digital Colleagues

AI Agents: Your Autonomous Digital Colleagues

AI AgentsCrewAILangGraphn8nCustom APIs2,000+ Integrations

An AI agent is far more than a chatbot: it understands context, makes independent decisions, and works across multiple systems, like a digital colleague available 24/7. Unlike simple if-then automations (like Zapier), an AI agent can handle exceptions, understand natural language, and process complex task chains autonomously.

  • Quotes & Invoices: Agent pulls data from CRM/ERP, creates proposals, and sends invoices automatically
  • Customer Service: Instantly handles common inquiries via email/chat, internally also vacation requests or IT helpdesk in Teams/Slack
  • Sales & Lead Qualification: Researches leads, fills CRM fields, prioritizes by revenue potential, generates follow-up emails
  • Data Processing & Reporting: Extracts data from PDFs, updates databases, produces automated reports
  • Operational Monitoring: Monitors inventory levels, triggers reorders, tracks shipments, proactively notifies customers

Custom AI agents on a code-first basis, no template systems. Integrable with Slack, HubSpot, Jira, Shopware, SAP, Google Workspace, Microsoft 365, and 2,000+ more tools.

RAG Systems: AI Powered by Your Company Knowledge

RAG Systems: AI Powered by Your Company Knowledge

OpenAIClaudeLangChainPineconeWeaviate

Retrieval-Augmented Generation (RAG) combines the language capabilities of modern LLMs with your own data. The result: an AI assistant that answers questions about your products, processes, and documents, accurately and without hallucinations.

Use cases: customer support, internal knowledge management, onboarding new employees, product consulting, document analysis.

We handle everything: data preparation, embedding strategy, prompt engineering, LLM selection, integration into your existing systems, and ongoing optimization.

Computer Vision & Machine Learning

Computer Vision & Machine Learning

TensorFlowPyTorchHugging FacePythonOpenCV

When images and videos need to be analyzed: quality control in production, automated image recognition, OCR for document processing, or visual inspection of equipment and infrastructure.

We train and deploy ML models built on your specific data, not generic benchmarks. On-premise or in the cloud, depending on your privacy requirements.

Data Protection & Security: Made in Germany

Data Protection & Security: Made in Germany

GDPROn-PremisePrivate CloudMistralEuropean AI

We take data protection seriously, not as a footnote, but as the foundation of every architectural decision. Depending on the use case, we deploy different AI models:

  • Data-sensitive scenarios: European models like Mistral (fully GDPR-compliant)
  • On-premise: Models run on your own servers, not a single byte leaves your company
  • Private cloud: Dedicated instances in European data centers
  • Anonymization: Personal data is anonymized before being sent to LLMs
  • Documentation: Clear data processing agreements and privacy documentation included

Supported models: OpenAI, Anthropic Claude, Google Gemini, Mistral, Grok (xAI), we advise on which model is right for your use case.

Technologies

CrewAILangGraphAutoGenCustom AI AgentsOpenAIAnthropic ClaudeGoogle GeminiMistralGrok (xAI)LangChainLlamaIndexHaystackPineconeWeaviateQdrantChromaDBpgvectorTensorFlowPyTorchHugging Facescikit-learnPythonFastAPIDockerKubernetesAWS SageMakerAzure AIn8nMakeSlackMicrosoft TeamsHubSpotJiraSAPShopwareStripeTwilio

From Idea to Productive AI Agent

1

AI Potential Workshop

1–2 Days

We analyze your processes together and identify where AI has the greatest leverage. Result: concrete opportunities and prioritized use cases, even without prior AI experience.

2

Design & Architecture

1–2 Weeks

Custom solution blueprint defining data sources (CRM, ERP, email, documents), functions, and interfaces. Focus: efficiency, data protection, future-proofing.

3

Implementation & Integration

2–6 Weeks

Development by experienced AI engineers and seamless integration into your existing IT landscape. On-premises or cloud, depending on your requirements.

4

Testing & Training

1–2 Weeks

Intensive testing before go-live. Training your staff on the system, the key to adoption and successful usage.

5

Go-Live & Optimization

Ongoing

After launch, we continue to support you. The agent adapts to new requirements, data volumes, and process changes. Continuous monitoring and improvement.

Use Cases

Concrete applications where our solutions create value.

Automated Customer Service

AI agent answers inquiries via email and chat instantly, internally also vacation requests and IT helpdesk in Teams/Slack. Escalation to staff only when needed.

Sales & Lead Qualification

Automatically researches leads, fills CRM fields, prioritizes by revenue potential, and generates personalized follow-up emails. More deals with less effort.

Quotes & Invoices

Agent pulls data from CRM/ERP, creates proposals automatically, and sends invoices, no manual steps required. Near-zero error rate.

Internal Knowledge Management (RAG)

RAG-based assistant answers questions about products, processes, and documents, ideal for onboarding new employees and internal support.

Quality Control (Computer Vision)

Automated image recognition and visual inspection of equipment, products, or documents. OCR for document processing in production.

Data Processing & Reporting

Extracts data from PDFs, updates databases, and produces automated reports, daily, weekly, or in real-time.

Comparison

ChatbotZapier / MakeAI Agent (GOLLE IT)
Understands Natural LanguageYesNoYes
Context UnderstandingLimitedNoYes, cross-system
Independent DecisionsNoNoYes
Multi-Step Task ChainsNoLimited (if-then)Yes, autonomous
Exception HandlingNoNoYes
Learning CapabilityNoNoYes (feedback loop)
Integrations1 Channel5,000+ (simple)2,000+ (deep integration)
GDPR / On-PremiseProvider-dependentLimitedFully configurable
Setup EffortLowMediumMedium–High
ROI PotentialLowMediumHigh

Chatbot

Understands Natural LanguageYes
Context UnderstandingLimited
Independent DecisionsNo
Multi-Step Task ChainsNo
Exception HandlingNo
Learning CapabilityNo
Integrations1 Channel
GDPR / On-PremiseProvider-dependent
Setup EffortLow
ROI PotentialLow

Zapier / Make

Understands Natural LanguageNo
Context UnderstandingNo
Independent DecisionsNo
Multi-Step Task ChainsLimited (if-then)
Exception HandlingNo
Learning CapabilityNo
Integrations5,000+ (simple)
GDPR / On-PremiseLimited
Setup EffortMedium
ROI PotentialMedium

AI Agent (GOLLE IT)

Understands Natural LanguageYes
Context UnderstandingYes, cross-system
Independent DecisionsYes
Multi-Step Task ChainsYes, autonomous
Exception HandlingYes
Learning CapabilityYes (feedback loop)
Integrations2,000+ (deep integration)
GDPR / On-PremiseFully configurable
Setup EffortMedium–High
ROI PotentialHigh

Frequently Asked Questions

What exactly is an AI agent?+
A digital assistant that independently handles repetitive tasks, answering inquiries, processing data, managing processes. It understands natural language, learns over time, and works directly within your existing systems (Slack, CRM, ERP, shop). The key difference: an AI agent doesn't just react to commands, it makes context-based decisions and processes multi-step task chains autonomously.
How is an AI agent different from Zapier or a chatbot?+
A chatbot answers questions. Zapier connects tools with simple if-then rules. An AI agent goes much further: it understands context, makes independent decisions, works across multiple systems, and adapts to exceptions. Example: A Zapier workflow forwards an email. An AI agent reads the email, identifies whether it's a complaint or inquiry, looks up the customer in the CRM, drafts an appropriate response, and only escalates to a human when needed.
How much does an AI project cost?+
A simple AI agent (e.g., email triage) starts at around €10,000. A RAG chatbot prototype at €10,000–20,000. Complex AI integrations with multiple system connections and custom logic range from €25,000–80,000. Ongoing costs depend on your chosen LLM provider and request volume. We actively optimize for cost efficiency: caching, model routing, and intelligent prompt design typically reduce API costs by 60–80%.
Is this GDPR-compliant?+
Yes, when done right. We rely on European hosting providers, GDPR-compliant LLM vendors (e.g., Mistral via EU servers, Azure OpenAI in the EU region), and clear data processing agreements. For particularly sensitive data, we offer on-premise solutions where not a single byte leaves your corporate network. We also advise on legal safeguards and produce the necessary data protection documentation.
How quickly can an AI agent be deployed?+
Often within days to a few weeks, depending on complexity. A simple agent can be live after 1–2 weeks. More complex solutions with extensive system integration require 4–8 weeks. We start with a proof of concept using real data so you see results quickly.
How do you prevent hallucinations?+
Through RAG (Retrieval-Augmented Generation): the LLM only responds based on your verified documents, not from its general training data. Additionally: source attribution (every answer cites its source), confidence scoring, guardrails against off-topic responses, and regular quality audits. Hallucinations can't be eliminated entirely, but we reduce them to under 2%.
Do we need our own data or custom models?+
For RAG chatbots: you need structured data (documents, FAQs, product information). We handle the preparation and embedding. We only train custom models when technically necessary (e.g. Computer Vision for specific objects). In 80% of cases, pre-trained models with fine-tuning or a well-designed RAG architecture are sufficient.
Do I need to know how to code?+
No. We handle setup, configuration, and customization to your processes. You define what the agent should do, the rest runs automatically in the background. For change requests, we're at your side as an ongoing partner.
Where do we start?+
With an AI potential workshop (2–3 hours): we work together to identify where AI can have the greatest impact in your processes. Not every task needs AI, sometimes a simple automation is enough. From there: a prioritized roadmap, effort estimates, and a proof of concept within 4–6 weeks using real data.

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E-Commerce

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Consulting

AI strategy and feasibility analysis.

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Up to 50% government funding for your digital project

Public funding programs like go-digital, BAFA, or KfW cover up to half of your project costs. We advise you free of charge.

Explore funding

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