Titus van Rijnstraat 236 / 1058 GB Amsterdam-Netherlands
+31 (0) 175 700 16
info@hufix.eu
Titus van Rijnstraat 236 / 1058 GB Amsterdam-Netherlands
+31 (0) 175 700 16
info@hufix.eu
Back Courses
Generative AI for Business Applications explores how GenAI can improve work, redesign processes, and create new value across functions such as marketing, customer service, HR, finance, operations, and knowledge management. Participants examine the capabilities and limitations of large language models, effective prompting, workflow integration, human-AI collaboration, and practical approaches to selecting high-value use cases. Applied exercises focus on moving from experimentation to reliable business applications while addressing hallucinations, privacy, security, quality control, and responsible use.
5 days
Distinguish suitable GenAI use cases from tasks where conventional automation or human judgment is stronger.Apply effective prompting and context-design techniques to common business workflows.Redesign selected processes using human-AI collaboration and appropriate review controls.Evaluate GenAI outputs for accuracy, relevance, hallucination risk, bias, and confidentiality concerns.Assess opportunities for GenAI across major business functions and knowledge-intensive work.Develop an implementation concept for a scalable, responsible GenAI business application.
Understand how large language models and generative AI produce outputs.Compare GenAI with predictive AI, rules-based automation, and traditional software.Explore business applications across major functions and industries.Identify tasks suited to generation, summarization, analysis, and conversational interaction.Assess where GenAI can improve productivity, quality, speed, or customer value.Structure prompts around roles, tasks, context, constraints, and output formats.Use iterative prompting to improve reasoning, drafting, analysis, and ideation.Apply examples, reference material, and structured context to increase relevance.Test outputs for hallucinations, omissions, inconsistency, and unsupported claims.Create reusable prompt patterns for recurring business activities.Map existing workflows and identify high-friction knowledge tasks.Decide which steps to automate, augment, or retain under human control.Design human-in-the-loop review and approval points.Explore document, knowledge, customer-service, research, and reporting workflows.Build a prototype GenAI-enabled process for a selected business case.Examine retrieval-augmented generation, tools, memory, and workflow integration at a business level.Understand how copilots and AI agents differ in autonomy and control.Evaluate integration with enterprise data and existing applications.Define quality, security, access, and performance requirements.Compare pilot, vendor, and implementation options for scaling a use case.Address privacy, confidential data, intellectual property, bias, and security concerns.Design validation and human-oversight controls for high-impact outputs.Establish acceptable-use and escalation practices.Define adoption metrics and business-value measures.Present a practical implementation plan for a responsible GenAI application.
We design and deliver tailored training programs for organizations.
Request Customized Course →hybrid - online - in person
Request Free HR Consultation
Download Outline PDF