Chatbot Partner

Intelligent chatbots that understand, not just answer

AI-supported chatbots are revolutionizing customer service and communication. P&M develops conversational AI solutions that create real added value: scalable, integrated and human in dialog.
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Sven Maack | Head of Engineering

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Why companies rely on P&M as their chatbot partner

Artificial intelligence is changing how people interact with companies. We are shaping this change with substance - from strategy to integration.
Natural dialogs through modern language models

Natural dialogs through modern language models

Our chatbots understand context, tonality and intent - whether text or voice.

Seamless integration into your systems

Seamless integration into your systems

Whether CRM, ERP or knowledge databases - we connect your data with Conversational AI.
Secure and scalable architecture

Secure and scalable architecture

GDPR-compliant solutions for maximum control and performance.
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AI in use in the city administration of Soltau

An NDR report shows how the AI application enaio gpt, developed by P&M together with Optimal Systems, significantly speeds up administrative processes in Soltau.
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How to create your individual AI chatbot

01

Analysis & target definition

We understand your communication processes and identify automation potential.

02

Prototyping & validation

First dialog models, trained on your data - realistically tested.

03

Implementation & integration

Development with LLMs, RAG and NLP frameworks; connection to your systems.

04

Operation & further development

Continuous optimization, monitoring and training of your AI models.

Services

Our services at a glance

P&M accompanies you from the idea to productive operation - holistically and in partnership.
  • Chatbot development (text & voice) - individual conversational interfaces based on state-of-the-art AI models.
  • Conversational Design & UX - intuitive dialog guidance for high user acceptance.
  • System integration (CRM, ERP, CMS) - intelligent connection to your business processes.
  • AI automation & knowledge management - knowledge databases, RAG & Vector Databases for precise answers.
  • Governance, data protection & AI strategy - advice on the secure and compliant use of Generative AI.
  • Monitoring & Continuous Learning - ongoing optimization of your chatbots through feedback loops, data analysis and automated retraining.

Technologies

Technology & Frameworks

Our chatbot architecture combines proven enterprise technologies with the latest AI frameworks - scalable, secure and future-proof.

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AI models & language comprehension

  • OpenAI GPT-4o / Azure OpenAI Service

  • Anthropic Claude 3 Sonnet / Mistral

  • NLP frameworks: Rasa, LangChain, Semantic Kernel

  • Retrieval Augmented Generation (RAG) for knowledge integration

  • Knowledge Graphs for context-based answers

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Conversational Interfaces

  • ChatUI frameworks & own frontend components

  • React / Next.js for web and portal integration

  • Voice interfaces & multichannel bots (web, mobile, Teams, Slack)

  • Conversational UX & adaptive dialog flows

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Security & Compliance

  • GDPR & EU AI Act-compliant implementation

  • ISO 27001 & BSI basic protection

  • Access security via OAuth 2.0 / OpenID Connect

  • Hosting in German cloud regions

References

How we lead AI projects to success

Our success stories show how companies from industry, trade and services are successfully using artificial intelligence, from process automation to individual specialist applications.

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Vincentz Network

Intelligent and fast search of specialist information with AI.

View reference
Tyczka

Tyczka Energy

AI automation of the incoming order process.

View reference

FAQs

Frequently asked questions about AI chatbots

Our chatbots understand context, language and intent - because they are trained on individual data and deeply integrated into your systems.

We develop for web, mobile, voice and corporate platforms such as Microsoft Teams or service portals.

All solutions are operated in a GDPR-compliant manner in German cloud environments.

Depending on complexity, 6-12 weeks - from proof of concept to rollout.

Yes, we are modernizing existing systems with LLMs, RAGs and improved UX dialogs.