Executive Seminar

AI for Business Leaders

Delivered through Saifk Thaki, an initiative of Ministry of Communications and Information Technology

A hands-on, in-person session that moves leaders past awareness — with live demonstrations of Microsoft Copilot, AI agents, Claude, and lightweight automation in real executive workflows. No technical background required.

In-person

Format

3 Hours

Duration

None

Prerequisite

Move from “we should look at AI” to a plan you can act on.

Most leaders are aware of AI. Few have a clear, structured view of where it fits in their own organisation. This session closes that gap.

Tools in your hands

Experience Microsoft Copilot, AI agents and Claude applied to real leadership tasks live.

Simpler processes

Understand how automation removes friction from routine business workflows.

A clear starting point

Walk out with a structured view of where to begin and how to approach adoption.

Designed for leadership.
Aimed at action.

AI is reshaping uptime, quality, efficiency and supply-chain resilience. But adoption succeeds or fails on how leaders understand their data, systems and workflows.

Microsoft Copilot for executive work

Across Excel, PowerPoint and Teams, board-level updates from raw notes, financial summaries from spreadsheets, meeting notes turned into action items

AI agents & Copilot Studio

Build a simple internal assistant for HR and policy queries, knowledge-base support and approval workflows — introduced in a controlled, scalable way.

Claude as a thinking partner

Turn raw notes and multiple documents into structured reports, proposals and consolidated recommendations — then iterate to decision-ready quality.

N8n Automation

Connect tools and data via n8n or no-code tools, so routine, repetitive steps run themselves, without heavy engineering.

Three hours.
Four demos.

From systems and data to live demos and a roadmap, every block ends in something usable.

  • What AI is — and isn’t — in a business context
  • AI vs automation vs analytics
  • How AI is used across enterprises today
  • The AI ecosystem: data, tools and compute
  • What it means for adoption, cost and scalability
  • Copilot across Outlook, Excel, PowerPoint and Teams
  • Drafting executive communication and reports
  • Summarising documents and extracting key insights
  • Turning unstructured inputs into structured outputs

Examples: Board updates from raw notes · financial summaries from Excel · meeting notes → action items.

  • Strategy & decision-making — reporting, scenario analysis
  • HR — screening, documentation, internal workflows
  • Sales — lead qualification, proposals, follow-ups
  • Finance — variance analysis, reporting automation
  • Operations — monitoring, approvals, vendor tracking

Case Studies: AI customer support, finance & compliance automation, AI-assisted reporting and planning.

Pause
Tea Break

  • What AI agents are and how they differ from traditional tools
  • Building a simple internal AI assistant
  • Use cases: HR & policy queries, knowledge base, approval automation
  • Connecting enterprise data and tools

Leadership Focus: Introducing AI agents in a controlled, scalable way across departments.

  • Claude as a practical “thinking partner” for day-to-day tasks
  • Working with large documents and multiple inputs in one workflow
  • Drafting and refining reports, proposals and communication
  • Structured workspaces (Projects) and usable outputs (Artifacts)

Scenarios:  Raw notes → structured report · brief → proposal draft · multiple inputs → consolidated recommendations.

  • Identifying high-impact AI opportunities
  • Prioritising on impact vs feasibility: quick wins, strategic initiatives, incremental, deprioritised
  • Structuring adoption: pilot → scale → integrate
  • Key considerations: data readiness, governance & risk, team capabilities

OUTPUT: Each participant outlines 1–2 priority use cases and a practical starting plan.

Q&A and Discussion

Join the AI for Business Leaders Seminar and take your first step into the future of learning, creativity, and innovation.

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