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Redesigning Workflows Around AI training course

Name: Redesigning Workflows Around AI training course
Availability: InStock

Map an existing business process, identify AI touchpoints, and redesign with a working prototype

"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

Public Courses

06/07/26 - 1 days

£2500 +VAT

Enrol

17/08/26 - 1 days

£2500 +VAT

Enrol

28/09/26 - 1 days

£2500 +VAT

Enrol

Customised Courses

* Train a team
* Tailor content
* Flex dates

From £1200 / day

Highlights Details Audience Feedback Prices/Dates Related Courses

Public Courses

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

Understand end-to-end business processes
Map activities, decisions, and handoffs
Identify process bottlenecks and delays
Create clear workflow documentation

Identify Tasks That Are High-Effort, Repetitive, and AI-Automatable

Spot manual and repetitive activities
Assess automation potential
Prioritize high-impact opportunities
Recognize common AI use cases

Distinguish Tasks AI Should Handle from Those Requiring Human Judgement

Define AI and human strengths
Identify decision-making requirements
Evaluate risk and accountability
Allocate responsibilities appropriately

Design a Future-State Workflow with Clear AI and Human Responsibilities

Create optimized process designs
Define AI-supported activities
Establish human oversight points
Improve efficiency and consistency

Prototype a Redesigned Process Using No-Code or Low-Code Tools

Build workflow prototypes quickly
Use modern automation platforms
Test process improvements
Validate design assumptions

Estimate Time and Cost Savings from Proposed AI Interventions

Measure current process performance
Calculate potential efficiency gains
Assess return on investment (ROI)
Quantify business value

Identify Risks and Failure Modes in the Redesigned Process

Evaluate operational risks
Anticipate AI limitations
Plan mitigation strategies
Improve process resilience

Define Success Metrics and How They Will Be Measured

Establish clear performance indicators
Track business outcomes
Measure adoption and effectiveness
Support continuous improvement

Present a Redesign Proposal to Stakeholders with a Business Case

Communicate recommendations clearly
Build evidence-based business cases
Demonstrate expected benefits
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

Brian Leek, Data Analyst, May 2022

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More about this course

This course provides a practical approach to analysing and redesigning business processes using AI. Participants will learn how to map current workflows and identify high-effort, repetitive tasks suitable for automation. The course explores how to balance AI capabilities with human judgement and oversight.

Learners will design future-state processes with clearly defined AI and human responsibilities. Hands-on activities include prototyping improved workflows using no-code and low-code tools.

Participants will assess potential time, cost, and efficiency gains while identifying risks and failure modes.
The course concludes with developing a business case and presenting an AI-enabled process redesign proposal to stakeholders.

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CONTACT
+44 (0)20 8446 7555

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