AI-Driven Process Optimization – 1 Day Workshop in London
Schedule
Mon, 08 Dec, 2025 at 09:00 am to Fri, 05 Jun, 2026 at 05:00 pm
UTC+00:00Location
For more information on venue address, reach out to "[email protected]" | London, EN
About this Event
Bring your team and save
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This practical workshop teaches professionals how to identify operational inefficiencies, improve workflows, and apply AI-powered tools to enhance productivity and reduce costs. Participants will learn how to analyze current processes, remove bottlenecks, automate repetitive tasks, and adopt smarter decision-making techniques. The training emphasizes real-world applications, practical tool usage, and sustainable optimization strategies that can be implemented immediately in daily work
Learning Objectives
By the end of this course, you will be able to:
• Identify inefficiencies across processes and workflows
• Use AI tools to automate repetitive tasks and speed up execution
• Design optimized workflow strategies that reduce errors and wait times
• Apply cost-saving techniques backed by data and analysis
• Build confidence in introducing automation and efficiency ideas to leadership
• Implement an ongoing improvement plan tailored to their role
Target Audience
• Operations and project managers
• Team leads and business analysts
• Executives managing performance or process change
• HR & PMO professionals supporting efficiency initiatives
• Professionals responsible for productivity and workflow outcomes
Why Choose This Course?
Most companies lose time and resources due to outdated processes and manual work. This workshop shows how to simplify workflows and strategically use AI to improve performance and reduce operational overhead. Participants learn practical techniques they can apply immediately to increase team efficiency and reduce bottlenecks.
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Want to train your entire team?
In-house programs can be customized to match your existing systems, workflows, and strategic business priorities. This ensures that everyone learns a common efficiency approach, improving coordination, consistency, and performance across departments.
📧 Contact us today to schedule a customized in-house session: [email protected]
Agenda
Module 1: Understanding Process Efficiency
Info: • What process optimization means in real operations
• Identifying workflow bottlenecks and inefficiencies
• Mapping current work processes
• Icebreaker Activity
Module 2: AI Tools & Automation Opportunities
Info: • Where automation creates impact
• Types of AI & workflow efficiency platforms
• When to automate and when not to automate
• Hands-On Activity
Module 3: Streamlined Workflows & Decision Frameworks
Info: • Designing simplified workflows
• Creating clear task ownership and communication points
• Reducing decision cycle-time
• Role Play Exercise
Module 4: Data-Driven Cost Optimization
Info: • Using metrics to evaluate performance
• Prioritizing high-impact efficiency improvements
• Avoiding hidden costs and unintended trade-offs
• Case Study Discussion
Module 5: Integrating AI into Daily Work
Info: • Aligning AI tools with team capabilities
• Managing resistance to automation
• Ensuring ethical and secure use of AI
• Simulation Exercise
Module 6: Continuous Improvement Culture
Info: • Setting up ongoing efficiency routines
• Monitoring progress without micromanagement
• Celebrating improvements and reinforcing habits
• Group Brainstorm Activity
Module 7: Personal Efficiency Implementation Plan
Info: • Choosing one workflow to optimize immediately
• Setting clear automation or improvement steps
• Accountability and follow-through checkpoints
• Action Plan Review
Where is it happening?
For more information on venue address, reach out to "[email protected]", Ph No: +1 469 666 9332, London, United KingdomEvent Location & Nearby Stays:
GBP 581.41 to GBP 753.67
