AI-Driven Dialogue: Strategic Communication Design & Implementation

AI-Driven Dialogue: Strategic Communication Design & Implementation

Location

MST 1017

Duration

Online / In-class

5 Days

Contact with our Team

Sector:

Product Management & Technology

Technical Focus Area:

Product Management & Growth Strategy

About the Course

AI has moved from experimental prototypes to everyday communication tools embedded in messaging platforms, customer service channels, collaboration suites, and content workflows. This course provides a clear, practical understanding of how AI communication technologies work—especially NLP, machine learning, and conversational interfaces—and how they can be strategically applied to solve real communication challenges. Participants will examine the evolution of AI communication, from early rule-based systems to today’s neural and generative models, and study case examples of successful deployments.

Beyond the “how it works,” the program focuses on “how to design and use it well.” Participants will learn to scope business needs, design AI communication systems around user journeys, customize tools to fit organizational contexts, and integrate AI assistants into existing communication processes. The course also addresses critical ethical questions around privacy, bias, transparency, and regulatory compliance, helping participants build trustworthy, inclusive solutions.

Finally, the course looks ahead to emerging trends and future scenarios. Participants will explore generative AI, real-time translation, and AI’s impact on remote and hybrid work, developing strategies to stay ahead of rapid changes. By the end of the week, they will have a strategic view of AI in communication, practical experience with tools, and a roadmap for responsible adoption within their own teams and organizations.

Learning Milestones

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

- Explain the fundamentals of AI communication and its implications across key industries and functions.
- Describe the role of NLP, machine learning, and neural networks in conversational AI systems.
- Design AI-driven communication solutions tailored to specific business and organizational needs.
- Select, configure, and implement AI tools to enhance interpersonal, customer, and internal communication.
- Evaluate human–AI interaction models to ensure usability, clarity, and alignment with user intent.
- Analyze ethical considerations in AI communication, including privacy, bias, and transparency.
- Interpret performance data and user feedback to refine AI communication tools and workflows.
- Anticipate and plan for future trends in AI communication and their impact on work and organizational design.
- Communicate the value, risks, and strategic potential of AI communication systems to stakeholders and decision-makers.

Professional Audience

- Business leaders and executives integrating AI into communication, CX, or operations
- HR and people & culture professionals seeking to enhance workplace communication with AI tools
- AI developers, product managers, and UX designers focused on user-centered conversational systems
- Marketing, customer service, and communication specialists leveraging AI in customer engagement
- Digital transformation, innovation, and strategy professionals evaluating AI communication initiatives

Modular Syllabus

Foundations and Evolution of AI Communication

- Overview of AI communication: scope, use cases, and key concepts

- Evolution of AI in communication: from rules-based chatbots to generative AI

- Core terminology: NLP, NLU, NLG, conversational AI, LLMs

- AI vs. human communication: key differences, strengths, and synergies

- Enhancing human interaction through AI: augmentation, not replacement

- Historical milestones in AI communication technologies

- Case studies of successful AI communication implementations in business and public services

- Activity/workshop: Map current and potential AI communication touchpoints in your organization

Designing AI Communication Systems and Human–AI Interaction

- Understanding AI algorithms for communication: machine learning and neural networks in practice

- Conversational design basics: intents, entities, dialogue flows, and guardrails

- Identifying organizational needs and defining clear problem statements for AI solutions

- Best practices for customizing AI communication tools to business context and brand voice

- Human–AI interaction models: chat, voice, embedded assistants, and hybrid workflows

- Designing user-friendly interfaces that reduce friction and support user intent

- Bridging the gap between AI capabilities and user expectations (onboarding, instructions, transparency)

- Exercise: Draft a high-level design for an AI communication system addressing a specific business challenge

Enhancing Interpersonal and Organizational Communication with AI

- AI in business communication: automating routine interactions and support tasks

- AI for customer experience: chatbots, virtual agents, and self-service portals

- AI in team collaboration: tools for summarization, meeting notes, translation, and real-time assistance

- Case studies of AI-enhanced workplace communication and knowledge sharing

- Advanced AI tools for interpersonal communication: coaching, feedback, and language support

- Voice recognition and synthesis technologies for voice-based interfaces

- Integrating AI assistants into email, messaging, CRM, and productivity platforms

- Workshop: Identify a communication process to augment with AI and outline an implementation plan

Ethics, Governance, and Risk Management in AI Communication

- Privacy and security challenges in AI communication systems

- Ensuring data protection: access controls, anonymization, retention, and consent

- Surveillance and misuse concerns: boundaries, transparency, and user rights

- Bias in AI communication: how it arises, how to detect it, and mitigation strategies

- Designing fair, inclusive AI communication experiences across languages and cultures

- Regulatory compliance: key legal frameworks and standards (e.g., data protection, AI guidelines)

- Global differences in AI communication regulations and cultural expectations

- Activity/workshop: Risk and ethics assessment for a proposed AI communication use case

Future Trends, Strategic Integration, and Action Planning

- Emerging technologies in AI communication: generative AI, multimodal interfaces, real-time translation

- The role of generative AI in creative communication, content, and personalization

- AI’s influence on remote and hybrid work dynamics: collaboration, inclusion, and overload

- Preparing for AI-driven job roles and evolving skill requirements

- Tools and approaches for scanning, analyzing, and prioritizing AI communication trends

- Building a strategic roadmap for integrating AI communication across the organization

- Communicating the vision and value of AI communication initiatives to stakeholders

- Capstone: Present an Advanced AI Communication Strategy for your organization, including tools, ethics, and future trends

Course Dates & Prices

Location	Starting Date	Price
Dubai (UAE)	29/12/2025	2999 $
Online	05/01/2026	2299 $
Online	05/01/2026	2299 $
Dubai (UAE)	12/01/2026	2749 $
Dubai (UAE)	12/01/2026	2999$
Cairo (Egypt)	19/01/2026	2749 $
Online	19/01/2026	2299 $
Online	26/01/2026	2299 $
Muscat (Oman)	29/01/2026	2999 $
Dubai (UAE)	02/02/2026	2999 $
Muscat (Oman)	16/02/2026	2999 $
Online	16/02/2026	2299 $
Online	23/02/2026	2299 $
Dubai (UAE)	23/02/2026	2999 $
Online	02/03/2026	2299 $
Online	09/03/2026	2299 $
London (UK)	09/03/2026	3499 $
Dubai (UAE)	09/03/2026	2999$
Online	16/03/2026	2299 $
Istanbul (Turkey)	16/03/2026	2999 $
Dubai (UAE)	16/03/2026	2999 $
Online	23/03/2026	2299 $
Kuala Lumpur (Malaysia)	23/03/2026	4099$
Doha (Qatar)	23/03/2026	2999 $
Kuala Lumpur (Malaysia)	30/03/2026	4199$
Online	30/03/2026	2299 $
Dubai (UAE)	06/04/2026	2999$
Istanbul	06/04/2026	2749 $
Online	06/04/2026	2299 $
Dubai (UAE)	13/04/2026	2999$
Cairo (Egypt)	13/04/2026	2749 $
Online	20/04/2026	2299 $
Dubai (UAE)	27/04/2026	2999$
Online	27/04/2026	2299 $
London (UK)	27/04/2026	3499 $
Istanbul (Turkey)	04/05/2026	2749 $
Dubai (UAE)	04/05/2026	2999$
Kuala Lumpur (Malaysia)	11/05/2026	4099$
Online	11/05/2026	2299 $
Doha (Qatar)	11/05/2026	2999 $

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