Pearson Consulting Group

NDA-safe examples of real work

Client Engagement Examples

Representative examples of the kinds of business situations, support, and outcomes Pearson Consulting Group works on.

Why anonymised examples matter

Much of the most useful work happens in contexts where public case studies are limited or protected by NDA. These examples are designed to show the shape of the work clearly while respecting confidentiality.

Representative engagement themes

AI roadmap development

Helping leaders clarify where AI can create value and how adoption should be phased.

Workflow improvement

Reviewing workflow friction and identifying practical automation opportunities.

Leadership enablement

Helping executive teams use AI more effectively in planning and decision-making.

Readiness clarification

Creating structure around uncertainty so next steps become more practical and commercially grounded.

How engagement examples are presented

Each example is designed to focus on the practical shape of the work: the situation, the support provided, and the kind of outcome it helped create.

1

Client type

Describe the kind of organisation involved without disclosing identity.

2

Situation

Summarise the business challenge or pressure being addressed.

3

What we did

Outline the strategic, advisory, or workflow support provided.

4

Outcome

Show the type of value created without overstating what can be verified publicly.

Example themes you'll see

These themes represent the most common types of engagement across the consulting practice.

  • Growing operations-heavy SME needing a clearer AI roadmap
  • Regional service business addressing workflow friction
  • Leadership team seeking more practical AI use in planning and decision-making

Prefer to start with the strategic thinking first?

Chess Not Checkers provides the wider context for why structured, practical AI work matters.

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Start with the right conversation

The next step should be shaped around your business priorities, operational realities, and where AI can create the clearest practical value.