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Brixon AI – Page 37

From Single Prompts to Prompt Flows: How to Intelligently Automate Complex Business Processes

Table of Contents Why Single Prompts Reach Their Limits Understanding Prompt Flows: From Linear Command to Intelligent Process Mapping Business Processes with Prompt Flows Technical Implementation: From Low-Code to Custom Solutions Best Practices and Common Pitfalls Measurability & ROI: When Automation Pays Off Next Steps for Your Company Frequently Asked Questions Why Single Prompts Reach […]

From Standalone Solution to AI Strategy: How to Scale Successfully

Table of Contents Why AI Pilot Projects Often Remain Isolated Islands The Most Common Scaling Obstacles for SMEs The Strategic Scaling Approach: From Silos to Strategy Practical Implementation: The 4-Phase Model Success Factors and Typical Pitfalls Outlook: The Path to an AI-Driven Organization Why AI Pilot Projects Often Remain Isolated Islands The scenario is all […]

AI in the Employee Lifecycle: From Recruitment to Retirement – A Complete Guide for Medium-Sized Businesses

Table of Contents Employee Lifecycle: The AI Transformation Starts Now Recruitment & Talent Acquisition: Smarter Candidate Selection Onboarding & Integration: The Perfect Start Performance Management & Development: Unlocking Potential Systematically Employee Engagement & Retention: Understanding and Retaining Employees Offboarding & Knowledge Transfer: Preserving Know-How ROI and Practical Implementation Conclusion and Outlook Frequently Asked Questions Employee […]

From Data to Insights: How AI Is Revolutionizing Your Business Decisions

Table of Contents The Data Deluge Dilemma – Why More Information Doesn’t Automatically Mean Better Decisions Defining AI Insights – What Sets Smart Insights Apart from Traditional Data Analysis The 4-Step Path from Raw Data to Business Decisions Technology Stack for AI-Driven Insights in SMEs Proven Implementation in Practice – Avoiding Pitfalls, Ensuring Success Making […]

Responsible Use of AI: Ethical Guidelines for Medium-Sized Enterprises

Table of Contents The Ethical Challenge of Modern AI Implementation The Brixon Ethics-First Framework Governance Structures for Responsible AI Step-by-Step Implementation Practical Tools and Control Instruments Measuring Success and Continuous Improvement Future-Proof AI Ethics for SMEs Frequently Asked Questions The Ethical Challenge of Modern AI Implementation Thomas stands in front of his laptop, staring at […]

User Acceptance Testing for HR AI: Ensuring Real-World Usability

Table of Contents What is User Acceptance Testing for HR AI? Why Traditional UAT Methods Fall Short for HR AI The Five Pillars of Successful HR AI User Acceptance Testing Proven Testing Methods for HR AI Systems Measurable KPIs and Success Indicators Common Pitfalls and How to Avoid Them Your Roadmap to a Successful HR […]

Incorporating Company Knowledge into CustomGPTs: A Practical Guide for Small and Medium-Sized Businesses

Table of Contents What are CustomGPTs and why should you consider them? Proven Methods for Knowledge Integration Direct Document Upload API-Based Data Connection RAG Systems for Complex Knowledge Bases Best Practices for Implementation Common Pitfalls and How to Avoid Them Your Implementation Roadmap Conclusion: The Path to Smarter Business Processes Frequently Asked Questions Thomas from […]

Technical Evaluation of AI Platforms: The Structured Assessment Framework for B2B Decision-Makers

Table of Contents Why systematic AI evaluation is crucial The four pillars of AI platform assessment Performance and accuracy Integration and scalability Security and compliance Cost-effectiveness and ROI Assessment methodology in practice Avoiding common evaluation mistakes Toolkit for structured assessment Frequently asked questions You’re about to decide which AI platform is right for your company. […]