AI Glossary
All important technical terms around AI transformation, BAFA funding and AI strategy — clearly explained for SMEs.
BAFA
Federal Office for Economic Affairs and Export Control
BAFA is a German federal authority that, under the "Management consulting for SMEs" program, grants government subsidies for external management consulting. For AI consulting, up to 80% funding (max. €2,800) is available. The application must be submitted and approved before consulting begins.
AI Maturity Level
AI Maturity Level
The AI maturity level describes how far a company has progressed in adopting and using artificial intelligence. Typically 5 stages: (1) Awareness, (2) Experiments, (3) Pilots, (4) Scaling, (5) AI-native company. The maturity level determines the right entry strategy.
AI Roadmap
AI Implementation Roadmap
An AI roadmap is a structured timeline for the step-by-step introduction of AI solutions in a company. It includes use case prioritization, resource planning, milestones and KPIs. A typical AI roadmap for SMEs has a horizon of 12–24 months.
SME
Small and medium-sized enterprises
SMEs are companies with fewer than 250 employees and annual revenue under €50 million (EU definition). In Germany, approximately 99% of all companies are part of the Mittelstand. SMEs are the primary target group for BAFA funding and mysoftwarelab consulting.
Prompt Engineering
Targeted AI instructions
Prompt engineering is the art of formulating instructions (prompts) for AI systems such as ChatGPT or Claude so that they consistently deliver high-quality results. Well-designed prompts can solve 80% of quality issues with AI outputs. A key competency for AI adoption.
LLM
Large Language Model
LLMs are AI models trained on huge amounts of text that can understand and generate natural language. Well-known LLMs: GPT-4 (OpenAI), Claude (Anthropic), Gemini (Google). They are the technical foundation for chatbots, text creation, code generation and many automation processes.
Generative AI
Artificial intelligence for content creation
Generative AI refers to AI systems that can create new content — text, images, audio, video or code. In a business context, it is used for text automation, image generation, customer communication and software development. Difference from classical AI: creates instead of only analyzing.
AI Use Case
Concrete AI application
An AI use case is a specific business process that can be improved or automated through AI. Examples: automatic invoice processing, AI customer support, predictive maintenance, AI-supported quote generation. Identifying suitable use cases is the first step in any AI adoption.
ROI
Return on Investment
ROI measures the ratio of profit to investment costs. Typical for AI projects: initial investment (consulting + implementation) vs. ongoing savings (time savings, error reduction, higher conversion). Our clients typically achieve 60–80% cost savings in automated areas, with ROI realized after 6–14 months.
AI Pilot Project
First controlled AI deployment
An AI pilot project is a time-limited, controlled first test of an AI solution in a company. Goal: prove feasibility, measure ROI and test acceptance — before full scaling begins. Typical duration: 4–8 weeks. Important: define clear success criteria.
Change Management
Managing organizational change
Change management describes all measures that accompany employees during the introduction of new technologies. Particularly important for AI projects: reducing fears ("AI will take my job"), training, clear communication and early involvement. 70% of all AI projects fail not because of technology, but because of change management.
Process Automation
Automation of business processes
Process automation means replacing recurring manual tasks with software or AI. AI automation goes beyond classical RPA: it can process unstructured data, understand natural language and make context-dependent decisions. Typical savings: 60–80% of manual processing time.
EU AI Act
EU regulation on artificial intelligence
The EU AI Act is the world's first comprehensive AI regulation, which entered into force in August 2024. It classifies AI systems by risk level (unacceptable, high, limited, minimal) and prescribes requirements for transparency, documentation and human oversight. Relevant for SMEs from 2025.
AI Governance
AI control and oversight
AI governance comprises all rules, processes and structures that ensure the responsible use of AI in the company. This includes: data quality assurance, bias detection, audit trails, compliance with the EU AI Act and internal AI guidelines. The foundation for trustworthy AI.
Predictive Maintenance
Forward-looking maintenance
Predictive maintenance uses AI and sensor data to predict machine failures before they occur. Typical in manufacturing: reduction of unplanned downtime by 40–60%, extension of machine lifespan by 20–30%. Especially relevant for mechanical engineering SMEs.
RAG
Retrieval-Augmented Generation
RAG is an AI architecture that connects LLMs with your own knowledge base. The result: an AI system that answers based on your own documents, manuals or product data — without hallucinations. Frequently used for internal knowledge bases and customer chatbots.
Funding rate
Percentage of funding
The BAFA funding rate indicates which share of consulting costs is subsidized by the state. In the old federal states: 50% (max. €1,750). In the new federal states and Berlin: 80% (max. €2,800). The funding rate applies to the company's location, not the consultant's.
De-minimis
EU state aid regulation
De-minimis is an EU state aid regulation stating that government subsidies up to €300,000 within 3 years are considered non-distorting to competition. BAFA subsidies fall under de-minimis. Companies must confirm that they do not exceed this limit.
