Highlights
- Apply process mapping techniques to document a current-state workflow
- Identify tasks that are high-effort, repetitive, and AI-automatable
- Distinguish tasks AI should handle from those requiring human judgement
- Design a future-state workflow with clear AI and human responsibilities
- Prototype a redesigned process using no-code or low-code tools
- Estimate time and cost savings from proposed AI interventions
- Identify risks and failure modes in the redesigned process
- Define success metrics and how they will be measured
- Present a redesign proposal to stakeholders with a business case
Course Details
Apply Process Mapping Techniques to Document a Current-State Workflow
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Understand end-to-end business processes
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Map activities, decisions, and handoffs
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Identify process bottlenecks and delays
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Create clear workflow documentation
Identify Tasks That Are High-Effort, Repetitive, and AI-Automatable
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Spot manual and repetitive activities
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Assess automation potential
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Prioritize high-impact opportunities
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Recognize common AI use cases
Distinguish Tasks AI Should Handle from Those Requiring Human Judgement
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Define AI and human strengths
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Identify decision-making requirements
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Evaluate risk and accountability
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Allocate responsibilities appropriately
Design a Future-State Workflow with Clear AI and Human Responsibilities
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Create optimized process designs
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Define AI-supported activities
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Establish human oversight points
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Improve efficiency and consistency
Prototype a Redesigned Process Using No-Code or Low-Code Tools
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Build workflow prototypes quickly
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Use modern automation platforms
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Test process improvements
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Validate design assumptions
Estimate Time and Cost Savings from Proposed AI Interventions
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Measure current process performance
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Calculate potential efficiency gains
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Assess return on investment (ROI)
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Quantify business value
Identify Risks and Failure Modes in the Redesigned Process
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Evaluate operational risks
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Anticipate AI limitations
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Plan mitigation strategies
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Improve process resilience
Define Success Metrics and How They Will Be Measured
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Establish clear performance indicators
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Track business outcomes
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Measure adoption and effectiveness
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Support continuous improvement
Present a Redesign Proposal to Stakeholders with a Business Case
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Communicate recommendations clearly
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Build evidence-based business cases
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Demonstrate expected benefits
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Gain stakeholder support and approval
Who should attend
- Business analysts seeking to improve processes through AI and automation.
- Operations managers responsible for workflow efficiency and performance.
- Project managers leading digital transformation and process improvement initiatives.
- Process improvement and continuous improvement professionals.
- Team leaders looking to reduce manual effort and increase productivity.
- Digital transformation specialists evaluating AI adoption opportunities.
- Anyone involved in designing, managing, or optimizing business processes using AI-driven solutions.
Feedback
4.8 out of 5 average
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022