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The AI Workflow Redesign™
Rethinking Processes, Removing Inefficiency and Designing Smarter Human \+ AI Workflows for Better Organisational Performance
Download Course BrochureFlexible delivery options to suit your leadership team and organisational needs.
Duration
5 Days
Certificate
Executive Certificate
Level
Manager / Emerging Leader
Format
In-Person / Virtual
Delivery Mode
Instructor-led Workshops, Discussions, Case Studies, Simulations
Introduction
This **LOCEPX Training course** equips managers to redesign workflows for an AI-enabled organisation rather than simply adding AI tools to existing processes. This **LOCEPX Training course** provides a practical approach for understanding how work currently flows across people, activities, decisions and systems, identifying where unnecessary complexity exists and determining where AI can simplify, augment, automate or fundamentally reshape the way work gets done.
Middle and experienced managers
Functional and departmental managers
Operational managers
Process and continuous-improvement managers
Project and programme managers
Participants will leave the Programme with stronger strategic capability and practical approaches that can be immediately applied within their organisations.
Understanding the workflow before introducing AI
Identifying inefficiency, duplication and unnecessary complexity
Determining where AI can assist, augment, automate or eliminate activity
Designing integrated Human \+ AI workflows
Building human judgement, controls and accountability into redesigned work
existing workflows before introducing AI
opportunities for simplification and AI-enabled improvement
what should remain human-led, augmented, automated or removed
effective end-to-end Human \+ AI workflows
redesigned workflows with appropriate controls and performance measures
Understand the Workflow Before Introducing AI
Challenge and Simplify the Existing Workflow
Identify AI Opportunities
Design the Human \+ AI Workflow
Implement, Control and Improve the Redesigned Workflow
Core Areas
Understanding why AI transformation should begin with the work
Defining the purpose and intended outcome of a workflow
Mapping the current end-to-end workflow
Identifying activities, decisions, hand-offs and dependencies
Understanding who performs what and why
Identifying systems, information and data supporting the workflow
Recognising bottlenecks, duplication and delays
Building the current-state workflow map
Questioning why existing activities are performed
Distinguishing necessary work from inherited process
Identifying low-value and non-value-adding activity
Examining unnecessary approvals and hand-offs
Identifying repetitive manual activity
Understanding where complexity has accumulated
Determining what can be simplified, combined or removed
Creating the simplified workflow baseline
Understanding different ways AI can contribute to workflows
Identifying opportunities for AI assistance
Assessing opportunities for augmentation
Identifying appropriate automation opportunities
Recognising activities requiring human expertise
Assessing AI opportunities against value, feasibility and risk
Avoiding automation of fundamentally poor processes
Building an AI workflow opportunity map
Moving from AI opportunities to integrated workflow design
Determining what remains human-led
Designing effective Human-to-AI and AI-to-Human hand-offs
Establishing where human judgement is required
Redesigning decision points and approvals
Integrating AI outputs into wider processes
Designing exception and escalation pathways
Building the future-state Human \+ AI workflow
Comparing current-state and future-state workflows
Defining expected productivity and performance improvements
Identifying implementation dependencies and risks
Establishing human ownership and accountability
Designing appropriate controls and verification points
Selecting workflows for pilots and testing
Measuring performance and capturing learning
Developing The AI Workflow Redesign™ implementation roadmap

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