Artificial Intelligence for Business Process Optimisation in Revenue Administration

Executive Programme for Process Designers & Engineers, Policy Makers & Operations Managers

Course Overview

This applied, design-led executive intervention positions participants as co-designers of AI-enabled solutions for priority SARS operational pain points.

Duration

3 Days (24 Hours Total)

Target Audience

SARS Employees (All Levels)

Format

Interactive Workshop

Course Structure

Progressive learning approach from foundations to advanced applications

Day 1

Reality Check, Alignment & Shared Understanding

Understanding where SARS is today.

  • Programme orientation and platform showcase
  • Applied AI demonstrations
  • Working hypothesis validation
  • Pain point prioritisation
  • Team formation for innovation challenges

Day 2

Co-Creation, Prototyping & Pitching

From pain points to AI-enabled solutions.

  • AI Solutions Showroom
  • Live Demonstrations
  • Adaptation Workshop
  • Deep Dive Sessions
  • Rapid Development

Day 3

Future Readiness, Research & Responsible AI

Institutionalising AI capability at SARS.

  • Co-Creation Workshop
  • Solution Design
  • Predictive Analytics
  • Trend Analysis
  • Implementation Planning

Training Slides

Access all training slides from the program orientation and the three-day workshop. View them in our secure online viewer.

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Programme Outcomes

By the end of this programme, participants will have:

Current-State Validation

Validated current-state view of SARS technology and AI capability.

Pain Point Prioritisation

Prioritised operational pain points.

Co-Created AI Ideas

Co-created AI-enabled solution ideas.

Future Technology Outlook

Future technology outlook for revenue administration.

Responsible AI Foundation

Grounded understanding of ethics, security, and responsible AI.

Pilot Pathways

Clear pathways toward pilot implementation and institutional learning.

Programme Outcomes Summary

Validated current-state view of SARS technology and AI capability.
Prioritised operational pain points.
Co-created AI-enabled solution ideas.
Future technology outlook for revenue administration.
Grounded understanding of ethics, security, and responsible AI.
Clear pathways toward pilot implementation and institutional learning.

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Begin Day 1