❔ PROBLEM: Resource-intensive to create microlearning from existing training content

📑PROCESS: Creation of microlearning modules from existing training content

🎯GOAL: Efficiently create microlearning modules using existing content

💡 Use ChatGPT to extract key points and script it, then use Synthesia or other tools to create an AI avatar video

❔ PROBLEM: High cost and time in translations

📑PROCESS: Translation of written materials

🎯GOAL: Decrease translation time and cost

💡 Use ChatGPT to draft initial translations, which are then verified and edited by a translator

❔ PROBLEM: Difficulty maintaining consistent and engaging communication across the organization

📑PROCESS: Communicating company updates, policies, and announcements to all employees

🎯GOAL: Facilitate regular and engaging communication across the organization

💡 Use generative AI to draft initial company-wide announcements and updates

❔ PROBLEM: Limited opportunities for employees to practice skills in a risk-free environment

📑PROCESS: Providing practical training to employees

🎯GOAL: Enhance the learning experience by providing opportunities for practice

💡 Use AI avatars for simulated role-play scenarios

Watch a video of an AI-Avatar role play

❔ PROBLEM: Time-consuming content creation requiring dedicated SME time

📑PROCESS: Drafting initial instructions or content requiring SME's input

🎯GOAL: Minimize the required time of SMEs in content creation

💡 Use ChatGPT to draft initial content, which is then reviewed and finalized by the SMEs

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❔ PROBLEM: One-size-fits-all training doesn't cater to individual learning needs or pace

📑PROCESS: Delivering training to employees

🎯GOAL: Personalize the training experience to better fit individual needs and enhance learning outcomes

💡 Implement generative AI in training modules to adapt scenarios and difficulty based on individual learner progress and responses

❔ PROBLEM: Manual research is time-consuming and may overlook valuable sources

📑PROCESS: Conducting academic or industry research

🎯GOAL: Improve efficiency and quality of research

💡 Use appropriate AI tools to automate data collection, literature review, and synthesis of findings

❔ PROBLEM: Taking meeting notes distracts from full engagement in the discussion

📑PROCESS: Documenting key points and action items during meetings

🎯GOAL: Ensure comprehensive meeting records without sacrificing participation

💡 Use AI to transcribe and summarize meeting conversations and action items

❔ PROBLEM: Time-consuming to draft comprehensive policy documents

📑PROCESS: Creation of initial drafts for new policies or legislation

🎯GOAL: Streamline the drafting process

💡 Use generative AI to analyze rules and regulations, identify impact, and create initial drafts of policy documents

❔ PROBLEM: Traditional risk assessment can be labor-intensive and may overlook some potential risks

📑PROCESS: Identifying and assessing potential risks in business operations

🎯GOAL: Enhance the comprehensiveness and efficiency of risk assessment

💡 Use generative AI to analyze historical data, identify potential risks, and generate risk assessment reports, which can then be reviewed by risk management experts