Training on Digital Transformation and Artificial Intelligence

Many organizations are either thinking about or pressing ahead with digital transformation initiatives. The digitization of business processes is a step change even greater than the invention and adoption of the internet, primarily because of its scale and pace of change. What we describe today as ‘digital’ in a few years will have no need for the descriptive word. A ‘digital camera’ is already a mere ‘camera’ to those who know no different. In the same way, a ‘digital’ strategy will become a ‘business as usual’ strategy.

The digitization and automation of everything is changing the world. Spoiled customers want a quick and seamless digital experience and they want it now. Thanks to companies such as Amazon and Apple customers expect every organization to deliver products and services swiftly with a seamless user experience. They want to log in to their online electricity account and see a real-time report of their consumption. They want services to be preapproved or approved in minutes. They expect all service providers to have automated access to all the data they provided earlier and not to ask the same questions over and over again. They wonder why a bank needs their salary slips as proof of income when their money is being deposited directly into the bank every month by their employer.

Customers are demanding a radical overhaul of business processes. Intuitive interfaces, around-the-clock availability, real-time fulfilment, personalized treatment, global consistency and zero errors – this is the world to which customers have become increasingly accustomed. It’s more than a superior user experience, however! When companies get it right, they can also offer more competitive prices because of lower costs, better operational controls and less risk.

Duration

5 Days

Who Should Attend?

• Business leaders and executives seeking to drive digital transformation in their organizations.
• Managers and team leaders responsible for implementing AI solutions and digital initiatives.
• IT professionals looking to expand their knowledge of AI applications and digital technologies.
• Marketing and customer experience professionals interested in leveraging AI for better customer insights.
• Anyone interested in understanding the strategic implications of digital transformation and AI in business.

Organizational Impact:

• Enhanced operational efficiency and reduced costs through automation

• Improved customer experience and satisfaction

• Better risk management and data-driven decision-making

• Competitive advantage through innovative digital solutions

Individual Impact:

• Strengthened understanding of AI and digital transformation strategies

• Increased capability to lead and implement digital initiatives

• Improved ability to create value through technology-driven solutions

• Enhanced strategic thinking and decision-making in a digital context

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

• Define digital transformation and artificial intelligence and explain their significance in today's business landscape.
• Identify key drivers and challenges of digital transformation initiatives.
• Understand the various applications of AI across different sectors and their impact on operational efficiency.
• Develop strategies to implement AI solutions effectively within their organizations.
• Foster a culture of innovation and adaptability in response to digital changes.

Module 1: Huge Benefits of Digital Transformation

• Rationale for replacing paper/manual processes with software
• Using digital systems to collect actionable data for performance, cost, and risk analysis
• Generating real-time reports and dashboards to address problems proactively
• Case Study: Analyze a supply chain quality issue resolved faster using digital monitoring of customer feedback and buying behavior.
• Practical Exercise: Identify a manual process in your organization and propose a digital solution highlighting potential benefits.

Module 2: Working Backwards

• Challenging existing processes to rebuild them with digital technology
• Combining automation and self-service to eliminate manual steps
• Designing the future state of processes without current constraints
• Reintroducing necessary constraints and challenging corporate myths
• Case Study: Review a business process redesigned to reduce turnaround time from days to minutes.
• Practical Exercise: Map an existing process and draft a “future state” digital version, noting which constraints need re-evaluation.

Module 3: Tackling End-to-End Customer Experiences

• Digitizing key stages of the customer journey to improve efficiency
• Identifying and resolving critical customer pain points
• Conducting process mapping (e.g., brown paper exercises)
• Engaging multi-functional teams and customers for input and critique
• Case Study: Evaluate a company’s digital intervention that improved customer experience and reduced delays.
• Practical Exercise: Perform a process mapping exercise for a customer-facing process and identify improvement opportunities.

Module 4: The Digitalization / Artificial Intelligence Process

• Building an in-house digital center of excellence
• Designing modular technology components for reuse across processes
• Securing board-level support while delegating operational decisions to the project team
• Integrating AI and digital capabilities to accelerate transformation
• Case Study: Review an organization that successfully implemented AI in its operational processes end-to-end.
• Practical Exercise: Propose a modular AI-enabled process improvement for a specific department.

Module 5: Moving Quickly

• Launching pilot projects to build in-house capabilities and momentum
• Scaling successful pilots rapidly across the organization
• Identifying bottlenecks in internal decision-making vs IT development
• Strategies to accelerate digital adoption
• Case Study: Analyze a rapid digital transformation rollout and lessons learned.
• Practical Exercise: Design a 90-day pilot plan for digitizing a critical business process and outline scaling strategy.