Training on Digital Transformation and Artificial Intelligence




22nd to 26th Jan 2024


19th to 23rd Feb 2024


25th to 29th March 2024


22nd to 26th April 2024


20th to 24th May 2024


24th to 28th June 2024


 22nd to 26th July 2024


26th to 30th Aug 2024


23rd to 27th Sept 2024


21st to 25th Oct' 2024


25th-29th Nov' 2024


16 to 20th Dec 2024


Many organizations are either contemplating or pursuing digital transformation initiatives. Because of the scale and rate of change, the digitization of business processes is a step change even greater than the invention and adoption of the internet. This training on digital transformation and artificial intelligence is game changer for every organization.

Training Objectives

By attending this highly interactive program, delegates will:

  • Delighting customers.
  • Accelerating the digitization/automation of existing business processes.
  • Why reinventing the entire business process is also required i.e. cutting the number of steps required, reducing the number of documents, developing automated decision making and dealing with regulatory and fraud issues.
  • Determining how operating models, skills, organizational structures and roles need to be redesigned to match the reinvented processes.
  • Adjusting data models and rebuilding them to enable better decision making, performance tracking and customer insights.

Target Audience

This course is aimed at all personnel who wish to understand how digital transformation and artificial intelligence strategy planning and implementation can drive customer satisfaction, operational results and financial savings.


Module 1-Big Impact

  • The rationale behind replacing paper and manual processes with software
  • Why automatically allowing businesses to collect data that can be mined to better understand process performance, cost drivers and causes of risk.
  • How generating real-time reports and dashboards on digital-process performance permit managers to address problems before they become critical.
  • Case examples: supply-chain-quality issues can be identified and dealt with more rapidly by monitoring customer buying behavior and feedback in digital channels.

Module 2 - Working Backwards

  • Challenge everything related to an existing process and rebuild it using digital technology.
  • How digitization can enable processes to be fundamentally reconfigured. For example, combining automated decision making with self-service can eliminate manual processes.
  • Why successful digitization efforts start by designing the future state for each process without regard for current constraints – say, shortening a process turnaround time from days to minutes.
  • Once a compelling future state has been described, constraints (for instance, legally required checks) can be reintroduced.
  • Why challenging each constraint is required – corporate myths can be quickly resolved through discussions with customers or regulators?

Module 3 - Tackling End-to-End Customer Experiences

  • Digitizing select stages of the customer experience to increase process efficiency.
  • Determining and solving burning customer issues.
  • Using process mapping (brown paper exercises)
  • Securing multi-functional team and customer input to critique and identify critical elements and locate potential areas for improvement.
  • This can, also, improve lines of communication and ensure a true team effort.

Module 4 - The Digitalization / Artificial Intelligence Process

  • Case examples and an overview of the end-to-end process
  • Building in-house capabilities to create a center of excellence with skilled staff that can be called upon to digitize processes quickly.
  • How to build the required technology components in a modular way so that they can be reused across processes, maximizing economies of scale.
  • Securing strong board level support to align all the stakeholders, while all other decisions should be delegated to the project team.

Module 5 - Moving Quickly

  • Building in-house capabilities and momentum by undertaking one or two pilots and then scaling rapidly.
  • Moving quickly isn’t always easy. Often, internal business decision making causes bottlenecks rather than IT development.
  • How to measure whether digitized processes do improve bottom lines and delight customers.
  • Allocating costs to end-to-end processes and benchmarking against peers.
  • Back to work action planning
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