Agentic AI for International Business

3-Day Intensive Course for International Business Developers, Strategists & Entrepreneurs
3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

From market entry to global coordination — powered by a swarm of no-code AI agents:

Day 1: Foundations of No-Code Agentic AI & Market Intelligence Agents
Learn what agentic AI is and how a digital swarm can support the International Business Development Manager (IBDM). Create specialized no-code AI agents for market research, competitor analysis, and opportunity scanning to support international market entry decisions.

Day 2: Strategic Planning, Risk & Supply Chain Agents
Design agents that simulate strategic options, project revenues, assess compliance and political risk, and optimize supply chains. Understand how multiple agents collaborate across functional areas (legal, logistics, finance) to improve decision-making for global operations.

Day 3: Swarm Integration for Marketing, Finance & Internal Coordination
Build agents for regionalized marketing, budgeting, and internal task coordination. Learn to synchronize swarm behavior so AI agents across supply chain, sales, and leadership dashboards continuously adapt to dynamic international environments.

Course Overview

This course trains you to design and deploy interconnected, no-code AI agents that simulate and automate key functions of international business development. Participants will build an AI swarm that supports strategic decisions, manages regional operations, and scales market entry — all without coding.

Each agent has a defined function (research, strategy, risk, supply chain, finance, marketing), and together they operate as a cohesive support system for international growth.

You’ll learn how to:

• Build no-code AI agents for specific IBDM tasks

• Coordinate AI agents across departments: strategy, supply chain, finance, and marketing

• Design agents for market analysis, scenario planning, and compliance

• Automate real-world processes like supplier evaluation or budget forecasting

• Simulate leadership decisions with agent outputs and feedback loops

• Understand how swarm logic enhances international expansion readiness

What’s Inside Each Day

Day 1 — Foundations of No-Code Agentic AI & Market Intelligence Agents

• Overview: What is agentic AI and why it matters in business

• Roles and responsibilities of the International Business Development Manager (IBDM)

• Agent 1: Market Research Agent (trend detection, opportunity mapping)

• Agent 2: Competitor Intelligence Agent (scraping, comparative dashboards)

• Workshop: Deploy two research agents using no-code AI tools
  Toolkit: Opportunity report generator + competitor map template
  Focus: Discovery • Research Automation • Business Insight

Day 2 — Strategic Planning, Risk & Supply Chain Agents

• Agent 3: Strategy Agent (market entry simulations, revenue projections)

• Agent 4: Risk Agent (financial, legal, geopolitical scoring)

• Agent 5: Supply Chain Agent (vendor selection, cost optimization, disruption monitoring)

• Swarm design: connecting strategy, risk, and logistics

• Workshop: Use AI agents to simulate entry into a new region with risk/supply constraints
  Toolkit: Strategy/risk planner + supply chain agent canvas
  Focus: Planning • Risk Management • Operational Readiness

Day 3 — Swarm Integration for Marketing, Finance & Internal Coordination

• Agent 6: Localized Marketing Agent (region-specific campaign adaptation)

• Agent 7: Financial Forecasting Agent (budget, pricing, FX exposure)

• Agent 8: Internal Coordination Agent (cross-team dashboards, alerts, task triggers)

• Swarm logic: coordinating agent behaviors in real-time

• Workshop: Build a business simulation using all 8 agents for global expansion
  Toolkit: Agent network map + executive report generator
  Focus: Execution • Scalability • Cross-Functional Collaboration

Course Goals

By the end of this course, you will be able to:

• Create and orchestrate no-code AI agents across business functions

• Build swarm architectures that support real-time global decision-making

• Apply agentic AI to market research, supply chain, financial, and regulatory domains

• Use agent outputs to plan, scale, and optimize international growth

• Present and justify AI-driven business strategies to stakeholders

Who Should Take This Course?

This course is for IT professionals, managers, and analysts who need to understand and manage cybersecurity risks in a business and compliance context.

Class Reference: HIRE/ENG
Form Updated on: 06/19/2025 (Version 1)
Last Modified on: 06/19/2025

Program Note
Participants will receive downloadable templates for interview planning, competency maps, scorecards, behavioral questions, and a complete post-interview decision-making toolkit

Brief pédagogique en français

Agentic AI pour International Business est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Analytics et intelligence artificielle. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 21 h et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.

Livrables et activités possibles

• cas d'usage, prompts, scénarios d'automatisation ou analyses data
• évaluation critique des résultats, limites et risques
• communication claire des choix techniques et business

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.