AI Tools & Technology
Tools decide nothing. Architecture decides.
Articles on platforms, interfaces, and models, read from the vantage point that counts in the boardroom.
Every tool decision is an architecture decision with a long tail. A connector, a model, an orchestration layer: what starts as a pilot today sits in operations, in the budget, and in the audit trail two years from now. The articles in this topic explain how RAG, the Model Context Protocol, LLM orchestration, and the wiring into ERP and CRM actually work, and where the running costs appear that no vendor quote mentions.
SIMO does not pick tools. We settle the questions that come first: which business question the tool is meant to answer, who owns the resulting figure, and which system disappears in exchange. A company that adds a tool every year and retires none is buying complexity on installments. Fewer systems, not more: this is less a cost measure than the precondition for decisions that can still be traced.
Taking tools seriously means planning the shutdown as well.
See decommissioningArticles in this topic 23 articles
- AI Tools & Technology
SIMOSphere AI and AI orchestration for midsize companies
SIMOSphere AI brings AI agent orchestration, data integration, and built-in compliance to midsize companies. Move from pilot projects to production-grade AI.
- AI Tools & Technology
AI integration in ERP and CRM: extending existing systems
How midsize companies can enhance their ERP and CRM systems with AI: A practical guide to copilots, middleware, API connectivity, and measurable results for midsize companies.
- AI Tools & Technology
AI orchestration: managing heterogeneous AI systems
AI orchestration goes far beyond LLMs. Learn how enterprises coordinate ML models, computer vision, RPA, and AI agents through a unified platform.
- AI Tools & Technology
LLM orchestration: why multi-model strategies matter
LLM orchestration cuts API costs by 40 to 60 percent and boosts uptime to 99.9 percent. How enterprises deploy multi-model strategies in production.
- AI Tools & Technology
MCP servers: how the Model Context Protocol changes AI
MCP Servers connect AI agents to enterprise systems via a universal standard. Learn why the Model Context Protocol is essential in 2026.
- AI Tools & Technology
Retrieval-augmented generation (RAG): a practical guide
RAG Retrieval-Augmented Generation makes company knowledge usable for AI. Architecture, use cases, tech stack, and 2026 trends for enterprises explained.
- AI Tools & Technology
AI and cybersecurity in 2026: attackers and defenders
95 percent of companies are increasing security budgets for AI. How AI strengthens cyber defense, what new threats are emerging, and what midsize companies must do now.
- AI Tools & Technology
AI in customer service: from chatbots to AI agents
Chatbots, Voice AI, and AI agents are changing customer service. Vendor comparison, practical examples, and a getting-started guide for midsize companies.
- AI Tools & Technology
On-premise AI: local LLMs and data sovereignty
Cloud vs. on-premise AI compared: costs, GDPR, latency, and control. Why local LLMs may be the better choice for midsize companies.
- AI Tools & Technology
RAG and company GPT: putting corporate knowledge to work
How RAG systems and Company GPTs make unstructured knowledge usable—with real-world examples, ROI figures, and an implementation guide.
- AI Tools & Technology
Agentic AI: how AI agents change enterprise automation
88 percent of companies are building AI into their infrastructure, yet only 24 percent fully capture the value. Learn how AI agents are replacing traditional RPA, why midsize companies must act now, and how a three-phase plan secures the entry.
- AI Tools & Technology
Large language models in the enterprise in 2026
LLMs like GPT-5, Claude 4, and Llama 4 reshape enterprise workflows. Model selection, use cases, open-source vs. proprietary, and deployment strategies.
- AI Tools & Technology
Vibe coding: building internal tools without developers
How small and midsize companies can create their own internal tools with vibe coding. With 3 practical projects, risk assessment, and a 30-60-90 day plan.
- AI Tools & Technology
ChatGPT in business: GDPR-compliant AI integration
Practical guide to GDPR-compliant adoption of ChatGPT in companies. With a 30-60-90 day rollout plan, use cases by department, and a governance framework for the DACH region.
- AI Tools & Technology
Building a company GPT with RAG and workflow automation
How small and midsize companies build their own Company GPT. With RAG system, n8n workflows, and GDPR-compliant infrastructure for your own AI assistant.
- AI Tools & Technology
Building a company AI: a RAG knowledge assistant
Build your own company AI with a RAG system: how midsize companies turn their corporate knowledge into an intelligent assistant. With architecture, 12-week plan, data protection, and practical examples.
- AI Tools & Technology
Building your own AI agent: a step-by-step guide
Create AI agents from conception to productive deployment. Complete guide for no-code and framework-based approaches. With cost comparison and best practices.
- AI Tools & Technology
Claude Code: your first internal tool without programming
Build your own business tools with Claude Code, without programming skills: practical examples, a step-by-step guide, and effort versus benefit for freelancers and small businesses.
- AI Tools & Technology
Building a RAG knowledge base for midsize companies
Step-by-step guide to building a RAG system for small and midsize companies. Using n8n, Supabase, and OpenAI embeddings to create an intelligent knowledge base.
- AI Tools & Technology
Learning Claude AI: a practical guide for businesses
Using Claude AI effectively for professional purposes: Prompting techniques, use cases, API integration, and best practices for enterprise deployment.
- AI Tools & Technology
n8n automation: no-code workflows for your business
n8n automation in practice: Setup, 5 concrete workflows, AI integration, best practices, and comparison with Zapier and Make. The complete guide for midsize companies.
- AI Tools & Technology
AI agent tools: platforms in an independent comparison
AI agent tools compared 2026: no-code platforms, developer frameworks, and enterprise solutions. Independent evaluation of n8n, Make, LangChain, CrewAI, Copilot Studio, and AWS Bedrock.
- AI Tools & Technology
Local AI without the cloud: a guide for small businesses
Run local AI models in a privacy-compliant way: On-premise, hybrid, or cloud with a privacy layer? An honest comparison with costs, practical examples, and a clear roadmap.
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