INTEGRATING ARTIFICIAL INTELLIGENCE INTO EXISTING BUSINESS PROCESSES
Leverage AI to Streamline Operations, Drive Innovation, and Enhance Decision-Making
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Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 13 – 15 Oct 2025 | Doha – Qatar | USD 2495 per delegate |
Course Introduction
Artificial Intelligence (AI) is rapidly transforming how businesses operate, enabling smarter decision-making, automation, and enhanced customer experiences. However, integrating AI into existing business processes requires more than just technology—it demands alignment of strategy, data, operations, and people.
This 3-day practical course is designed for business leaders and professionals who want to understand how to evaluate, adopt, and implement AI-driven solutions that deliver real value. Participants will explore AI capabilities, integration strategies, and governance frameworks that align with their organization’s operational objectives.
Course Objectives
By the end of this course, participants will be able to:
• Understand the types and capabilities of AI technologies relevant to business
• Identify integration points for AI within core processes such as operations, finance, marketing, and customer service
• Evaluate AI use cases and implementation models suited to their industry
• Develop an AI adoption roadmap including data, technology, people, and change management
• Address governance, ethical, and compliance considerations for responsible AI integration
Key Benefits of Attending
• Learn how AI can improve efficiency, reduce costs, and unlock new insights
• Gain confidence in managing AI-related projects and vendor engagements
• Discover cross-industry best practices and real-life implementation cases
• Understand the risks and controls needed for safe and ethical AI deployment
• Build the foundations for long-term digital transformation and innovation
Intended Audience
This program is designed for:
• Business unit leaders and digital transformation managers
• Operations, finance, HR, and marketing professionals
• IT and data leaders driving AI adoption within the enterprise
• Strategy consultants and innovation officers
• Anyone involved in planning or executing AI initiatives in their organization
Individual Benefits
Key competencies that will be developed include:
• AI opportunity mapping and process redesign
• Evaluation of AI tools and solution providers
• Change leadership and stakeholder engagement in AI projects
• Awareness of AI risks, data governance, and regulatory compliance
• Strategic thinking in applying AI for competitive advantage
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Clear alignment between AI projects and business objectives
• Reduced inefficiencies through automation and smart analytics
• Improved agility in responding to customer and market needs
• A culture of innovation and continuous improvement
• Greater data-driven decision-making across functions
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Overview of AI technologies, trends, and business applications
• Case Studies – Cross-industry examples of successful AI integration
• Workshops – Use case design, stakeholder mapping, and readiness assessment
• Peer Exchange – Group dialogue on organizational barriers and enablers
• Tools – AI integration frameworks, vendor evaluation checklists, and risk-control matrices
Course Outline
DETAILED 3-DAY COURSE OUTLINE
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of AI & Business Readiness
Module 1: Understanding AI for Business (07:30 – 09:30)
• Types of AI: machine learning, NLP, computer vision, RPA
• Real-world business use cases
Module 2: Assessing AI Readiness (09:45 – 11:15)
• People, processes, and data maturity
• Setting goals for automation and augmentation
Module 3: Workshop – AI Opportunity Mapping (11:30 – 01:00)
• Identifying processes suitable for AI enhancement
Module 4: Peer Exchange – Lessons from the Field (02:00 – 03:30)
• Group sharing on current challenges and expectations
Day 2: Integration Planning and Governance
Module 1: AI in Core Business Functions (07:30 – 09:30)
• Use cases in finance, HR, operations, and marketing
• Choosing between off-the-shelf vs. custom AI solutions
Module 2: Change Management and Adoption (09:45 – 11:15)
• Stakeholder communication and overcoming resistance
• Building AI awareness and capabilities internally
Module 3: AI Risk Management and Governance (11:30 – 01:00)
• Model transparency, bias, fairness, and compliance
• Frameworks for responsible AI deployment
Module 4: Workshop – Integration Blueprint (02:00 – 03:30)
• Design a roadmap for AI implementation in a selected process
Day 3: Implementation, Scaling, and Continuous Improvement
Module 1: Data Infrastructure and Vendor Engagement (07:30 – 09:30)
• Data quality, APIs, cloud platforms, and architecture considerations
• Managing AI vendors and external partners
Module 2: Measuring Impact and ROI (09:45 – 11:15)
• KPIs, benchmarks, and tracking success over time
• Continuous learning and model updates
Module 3: Workshop – Final Implementation Plan (11:30 – 01:00)
• Group activity: Build a complete AI project plan
Module 4: Wrap-Up and Action Planning (02:00 – 03:30)
• Personal roadmap and final Q&A
Certification
Participants will receive a Certificate of Completion in Integrating Artificial Intelligence into Existing Business Processes, confirming their ability to assess, plan, and lead AI implementation efforts aligned with business transformation goals.