# What Is Artificial Intelligence? A Plain-English Guide for SME Leaders > A plain-English introduction to artificial intelligence for SME leaders: what it is, where it comes from and where it pays off in daily business. - By: [Alexander Schnabl](https://www.alexschnabl.com/), S&S Technologies - Published: August 6, 2025 - Updated: October 21, 2026 - Category: Artificial Intelligence - Source: https://www.sus-tech.com/en/blog/what-is-artificial-intelligence AI is no longer just a buzzword or futuristic fantasy. For small- and medium-sized enterprises (SMEs), artificial intelligence is a practical advantage today - delivering more efficient operations, leaner staffing and faster growth. But what exactly *is* AI and what should SME leaders know to cut through the hype? ## Why AI feels vague to many SMEs Many SME decision-makers encounter AI as a vague concept - often wrapped in marketing jargon or buried in technical complexity. With limited IT resources and risk tolerance, it's easy to assume AI is only for tech giants. But neglecting AI today means missing major gains in efficiency, customer experience and competitiveness. Common challenges include: - Confusing terminology (e.g., AI vs. machine learning vs. automation) - Misalignment between tools and real business needs - Fear of uncontrolled systems or regulatory non-compliance This confusion often leads to stalled initiatives, missed deadlines and wasted investment. ## Making AI understandable and governed At **S&S Technologies**, we help SMEs put AI to work by making it understandable, governed and outcome-driven. Our services span: - Workflow automation with [n8n](https://n8n.partnerlinks.io/4t3y7zvzmyu3) - AI agents that can act autonomously within defined roles - Governed automation strategies to ensure AI deployments are secure, traceable and compliant - ERP integration and ITSM automation We turn complexity into a strategic advantage. *Automate. Optimize. Scale.* ## AI basics and how SMEs use it ### Understanding AI: basics and history Artificial Intelligence refers to computer systems that simulate human intelligence - learning from data, solving problems and making decisions. There are two broad types: - Narrow AI: Specialised systems trained for specific tasks (e.g., spam filters, recommendation engines, chatbots). - General AI: A theoretical form of AI that can perform any intellectual task a human can - currently science fiction. AI as we know it today is **narrow AI** - and it's already enabling real progress in everyday business operations. AI developments can be traced through decades of research, with key milestones including: - 1956: The Dartmouth Conference makes "Artificial Intelligence" a field of research. The term comes from the [proposal written for it in 1955](http://jmc.stanford.edu/articles/dartmouth/dartmouth.pdf). - 1997: IBM's Deep Blue defeats chess champion Garry Kasparov. - 2012: Deep learning begins outperforming traditional algorithms in image recognition. - 2022-2023: Language models like ChatGPT reshape business interactions, while runtimes like **Ollama** run open models on local servers. On a time axis to scale, the milestones show how long the field took to reach businesses: ![Milestones of artificial intelligence on a time axis: Dartmouth 1956, Deep Blue 1997, deep learning 2012 and language models in 2022-2023](https://www.sus-tech.com/media/1280/artificial-intelligence-milestones-timeline-en.png.webp) Four decades lie between the Dartmouth conference in 1956 and Deep Blue's win over Garry Kasparov in 1997. Deep learning followed in 2012 and only ten years later language models such as ChatGPT reached everyday business. ### AI in SME business environments Today, AI doesn't require a PhD to implement. Thanks to platforms like [n8n](https://n8n.partnerlinks.io/4t3y7zvzmyu3) and modular AI systems, SMEs can benefit too. Use cases we support include: - Automated support agents embedded into ITSM software - Document processing, where agents extract, summarize and automatically process data - Internal knowledge bases, powered by **RAG** (Retrieval Augmented Generation), allowing staff to ask questions in natural language and get cited answers instantly - explained in our post on [Internal Knowledge Bases with RAG: Architecture, Tools and Maintenance](https://www.sus-tech.com/en/blog/internal-knowledge-bases-with-rag) - ERP integration that connects front-end tickets or customer queries to back-end processes ### Governed automation instead of uncontrolled AI We never compromise on control and security. Every automation we deploy is versioned, traceable and monitored. For example: - All AI agent activity is logged and auditable - Documents are ingested, chunked and stored in secure vector databases - Local hosting with **Ollama** keeps data in-house, which supports access control and GDPR compliance In a typical setup these controls cover every step of the automation: ![Governed automation with artificial intelligence: an n8n workflow and a local AI agent on your own servers, with logging and access control](https://www.sus-tech.com/media/1280/artificial-intelligence-governed-automation-flow-en.png.webp) A request such as a ticket, a document or a question starts an n8n workflow with defined steps. The workflow hands it to an AI agent that runs on a local model with Ollama and looks up answers in a vector database of chunked company documents. The result goes to the ERP or ITSM system. Every step is versioned, logged and monitored. Access is controlled and the data stays on your own servers. Learn more about secure local deployments in [Cloud LLM vs Local AI-Agent: Cost Comparison with Real Example](https://www.sus-tech.com/en/blog/cloud-llm-vs-local-llm-cost-comparison-with-real-example). This focus on **governed automation** ensures predictability and trust - key values for any SME applying AI in real-world settings. ## What SMEs can expect When AI is implemented with clarity and purpose, smaller companies can expect: - Faster decisions and service resolutions - Automation of repetitive tasks like data entry, status updates or document routing - Cost savings by scaling support or operations *without* increasing headcount - Less searching in knowledge-heavy workflows with RAG-based assistants AI chat tools inside ERP or service platforms can also help new employees find answers faster during onboarding. ## Getting started with AI AI isn't just a trend - it's a clear, cost-effective way for your business to stay competitive. Here's how to begin: 1. Clarify your goals: What manual processes are slowing you down? 2. Start small: Target a few workflows ripe for automation. 3. Think governed automation: Ensure transparency, security and compliance from day one. 4. Choose the right partner: Work with experts who speak your language - not just code. **Contact our team** at [office@sus-tech.at](mailto:office@sus-tech.at) to get your personalized AI readiness roadmap.