AI for Business Leaders & Managers

• What AI actually is - Introduction, history, hype, and misconceptions for managers
• How Generative AI, Machine Learning, and Automation differ (business and corporate perspective, no coding)
• Nepal's AI landscape: National AI Policy 2025 and the Digital Nepal Framework
• Where AI is already running in your industry - specific case studies (banking, HR, healthcare, operations)
• Live hands-on demo: ChatGPT, Claude, Gemini (any other at the time) - first-touch experience for participants

Learning Outcome: Participants will be able to explain AI concepts to their teams, identify where AI is relevant to their sector, and confidently start using AI tools in professional environments.

• The anatomy of an effective prompt - role, context, task, format, and constraints explained simply
• Writing prompts for business tasks: reports, meeting summaries, email drafts, and policy documents
• Domain-specific prompt templates for Finance, HR, Marketing, and Operations tracks (can be customized for other domains as needed)
• Iterating prompts: techniques for refining outputs when the first result is not good enough
• Hands-on practice lab: each participant solves a real task from their own work using a prompt

Learning Outcome: Participants leave with a personal prompt library applicable to their job role and the confidence to use it from Day 1 back at work.

• Microsoft 365 Copilot: using AI inside Word, Excel, Teams, and Outlook - practical walkthroughs
• Google Workspace AI: Docs, Sheets, and Meet summaries for managers using Google tools
• AI for presentations: Canva AI, Gamma, Kimi, and Copilot in PowerPoint/Google Slides for faster deck creation
• Automating repetitive tasks: data entry, scheduling, report formatting, and email triage with AI
• General document and process management using Notion
• Research-based document and content creation with provided sources: NotebookLM by Google and Perplexity AI
• Project management tools: Jira, ClickUp, and Trello
• Workshop: participants build a personal 1-week productivity upgrade plan using available AI tools

Learning Outcome: Participants identify at least 3 specific tasks in their current role that can be automated or accelerated using AI tools available today.

• Reading and critically questioning AI-generated insights - when to trust, when to verify, when to reject
• Data dashboards: interpreting AI-driven analytics without being a data analyst (Using Power BI data dashboards or Looker Studio by Google)
• Using AI for market research, competitor analysis, and trend spotting relevant to the current market
• AI for forecasting: practical applications in sales, HR attrition, supply chain, and financial risk
• Nepal-specific case study: live business scenario analysis using AI tools in a group setting

Learning Outcome: Participants can use AI-generated data outputs to inform real decisions, and know the right questions to ask before acting on AI recommendations.

• Banking & Finance track: fraud detection summaries, credit risk AI interpretation, NRB compliance readiness
• HR track: AI-assisted JD writing, resume screening evaluation, performance review frameworks using AI
• Marketing & Sales track: AI campaign briefs, customer segmentation outputs, content calendar automation
• Operations track: AI workflow mapping, procurement forecasting, standard operating procedure automation

Learning Outcome: Participants apply AI tools directly to a problem in their own organization and present their approach to peers, reinforcing retention.

• AI risks every manager must know: hallucination, bias, data privacy violations, and IP leakage
• What must never be entered into a public AI tool - sensitive data rules for organizational safety
• Building a departmental AI usage policy: a facilitated workshop to draft a team-level AI governance document
• Making the business case for AI adoption to senior leadership and board - frameworks and language

Learning Outcome: Every participant leaves with an AI action plan and a draft AI usage policy for their team - not just knowledge, but commitment to action.