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AI and Digital Transformation

Design an AI-assisted workflow with people and controls in the right places.

Look at the whole service workflow before automating individual tasks. Identify suitable uses of AI, the exceptions people must handle and the evidence needed to evaluate a small test.

Who it's for

Designed around these roles

Operations managers, service-delivery leaders, process owners and team leads exploring AI-assisted work in service operations.

Purpose

Design an AI-assisted workflow with people and controls in the right places.

Look at the whole service workflow before automating individual tasks. Identify suitable uses of AI, the exceptions people must handle and the evidence needed to evaluate a small test.

At a glance

Best for
Operations managers, service-delivery leaders, process owners and team leads exploring AI-assisted work in service operations.
Planned outputs
3 draft outputs for your team to review
Topics
6 topics of learning and practice
Formats
Online, Onsite, Hybrid
Engagement
Standalone workshop or a module in a wider engagement

Why teams take this workshop

Challenges this workshop addresses

01

Automating a process before understanding it

02

AI output with no quality owner

03

Exceptions that fall between teams

How the workshop works

From your challenge to working material

Follow how the topics build towards each planned output. Select a stage or a topic to step through it.

You bring

  • Automating a process before understanding it
  • AI output with no quality owner
  • Exceptions that fall between teams

You work through

You leave with

Output 1 of 3

A current-state workflow and automation-candidate assessment.

Learning outcomes

What your team leaves with

The outputs below are proposed workshop deliverables: drafts and working tools for your team to review and develop. Final scope is agreed before an engagement. Business results depend on subsequent decisions, implementation and context.

  1. Output 1A current-state workflow and automation-candidate assessment.
  2. Output 2A draft human–AI workflow showing review, exceptions and escalation.
  3. Output 3A bounded test plan with quality checks and proposed operating measures.

Workshop outline

Topics and the outputs they feed

The outline below shows the learning scope. Sequence, depth and timing are agreed during scoping.

01

Topic
Workflow boundaries, inputs and service expectations
Builds towards
A current-state workflow and automation-candidate assessment.

02

Topic
Task suitability for rules, AI and human judgement
Builds towards
A current-state workflow and automation-candidate assessment.

03

Topic
Data access, approved tools and integration constraints
Builds towards
A draft human–AI workflow showing review, exceptions and escalation.

04

Topic
Human review, exceptions and escalation
Builds towards
A draft human–AI workflow showing review, exceptions and escalation.

05

Topic
Quality evaluation and failure handling
Builds towards
A bounded test plan with quality checks and proposed operating measures.

06

Topic
Pilot measurement, ownership and adoption
Builds towards
A bounded test plan with quality checks and proposed operating measures.

Engagement paths

Two ways to run this workshop

Our team will discuss the workflow, data restrictions and operational responsibilities before selecting exercises or tools.

DiagnoseThis workshopDecideAdopt

Standalone workshop

Use a workflow-design workshop to examine one service process and produce a draft automation test plan. Production integration is outside the workshop scope.

Discuss the scope

Discuss the audience, format, timing, facilitation needs and any follow-on support before confirming an engagement.

Discuss a service workflow