Strategic Business Process Reengineering and Productivity Enhancement through Applied Artificial Intelligence

Cypriot organisations are increasingly required to operate in highly dynamic and competitive environments, where productivity, efficiency and responsiveness are critical success factors. However, many enterprises continue to rely on fragmented, manual or poorly optimised processes, resulting in inefficiencies, delays, increased operational costs and limited decision-making capability.
At the same time, Artificial Intelligence (AI) technologies are rapidly transforming the way organisations design, execute and optimise business processes. Despite the availability of AI tools (e.g. AI assistants, process automation tools, predictive analytics), their use within organisations remains largely ad hoc, experimental or disconnected from core operational processes.

A significant gap is identified at managerial and executive level in:
• systematically identifying high-impact processes suitable for optimisation
• understanding how AI can be embedded into real workflows (not just used as a tool)
• evaluating practical AI use cases (e.g. automation of reporting, customer interaction, forecasting, decision support)
• redesigning processes with measurable productivity gains
• ensuring governance, human oversight and alignment with organisational strategy

This programme addresses a critical organisational need by enabling participants to:
• redesign real business processes using AI-driven use cases
• improve productivity through automation, augmentation and decision support
• transform operational workflows into data-driven, intelligent processes
• strengthen organisational resilience and competitiveness

Knowledge

Participants will be able to:
• analyse Business Process Reengineering (BPR) methodologies in the context of digital transformation
• evaluate the role of AI across different business functions (operations, finance, HR, customer service)
• understand practical AI use cases in process optimisation (e.g. automation, predictive decision-making, intelligent workflows)
• assess the limitations, risks and governance requirements of AI-enabled processes
• interpret how process redesign impacts productivity, cost reduction and performance

Skills

Participants will be able to:
• map and critically analyse real organisational processes
• identify inefficiencies and translate them into AI-enabled improvement opportunities
• design AI-supported workflows (e.g. automated reporting, chatbot integration, decision-support models)
• use AI tools for:
o process documentation
o scenario simulation
o decision support
• evaluate the effectiveness of AI use cases using KPIs
• develop structured process improvement plans with measurable outcomes

Attitudes / Competences

Participants will:
• adopt a data-driven and innovation-oriented mindset
• promote responsible and strategic use of AI within the organisation
• demonstrate critical thinking when evaluating AI outputs
• support organisational change and continuous improvement
• strengthen leadership in digital transformation initiatives

Icebreaker

Activity: “AI in My Organisation”

• Participants map one real process from their organisation
• Identify where AI is already used (if at all)
• Group discussion: inefficiencies & opportunities

Method: Interactive workshop + peer discussion

Module 1: Business Processes & Productivity

Content:

• Process value chains and productivity drivers
• Foundation of BPR
• Process bottlenecks & productivity thinking
• Waste reduction + process efficiency with AI automation
• Identifying critical processes (high-impact areas)
• Linking processes with organisational KPIs

Practical Use Cases:

• Identifying bottlenecks in approval workflows
• Measuring process delays and inefficiencies

Methods:

• Case study analysis
• Process mapping workshop
• KPI identification exercise

Module 2: Business Process Reengineering (BPR)

Content:

• AS-IS / TO-BE process modelling
• Root cause analysis
• Redesign strategies

Practical Exercises:

• Redesign a real process from participants’ organisations
• Identify automation opportunities

Methods:

• Workshop-based redesign
• Group simulations
• Scenario analysis

Module 3: AI Use Cases in Business Processes

Content:

• AI in operations, HR, finance, customer service
• AI for:
• reporting automation
• customer interaction (chatbots)
• forecasting & decision-making
• document processing

Practical Use Cases:

Automating reporting with AI

• AI chatbot for customer service
• AI-assisted decision scenarios
• AI for email/document summarisation

Innovative Exercises:

• “Design an AI-enabled process”
• Simulation: human vs AI decision

Methods:

• Hands-on AI tools
• Scenario-based learning
• Live demonstrations

Module 4: Governance, Risk & Human Oversight

Content:

• AI risks in processes
• governance frameworks
• human-in-the-loop

Exercises:

• Risk assessment of AI use case
• decision validation exercise

Methods:

• Risk mapping workshop
• guided analysis

Module 5: Integration & Performance Measurement

Content:

• embedding AI into workflows
• KPIs for productivity improvement
• monitoring and continuous improvement

Exercises:

• define KPIs for redesigned process
• build performance dashboard concept

Methods:

• Action planning
• facilitated discussion

The programme is addressed to senior professionals, executives and decision-makers, including:
• Operations Managers
• Process Improvement / Quality Managers
• Business Unit Managers
• Digital Transformation Leaders
• CIOs / CTOs / Innovation Managers
• Senior Consultants and Advisors
• SME Owners and Directors