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Halden & Company / Case Studies / SME scenario

Illustrative scenario ยท Not a client claim

How an SME can create a useful AI adoption foundation.

This scenario illustrates the kind of work Halden can support. It does not describe a named client, client outcome, or verified performance result.

The situation

Interest is high, but people are trying different tools without a shared direction.

Imagine a growing professional-services SME. A few people already use AI for research, meeting preparation, and first drafts. Leadership sees potential but is concerned about inconsistent quality, uncertain handling of client information, and the risk of buying a platform before the team knows where it will help.

The practical challenge is not a lack of tools. It is turning scattered curiosity into a manageable first phase of adoption.

A sensible response

  • Listen to teams and identify the repeated tasks that create the most friction.
  • Choose one or two contained workflows where a person can review every output.
  • Set clear boundaries for confidential information and quality review.
  • Run role-relevant learning sessions around the chosen workflows.
  • Review what changed before extending the approach elsewhere.

The practical sequence

Move from context to evidence with an owned sequence.

01Listen

Make the work, friction, and concerns visible.

02Focus

Choose a contained use case with a clear owner.

03Prepare

Set guidance, review points, and relevant learning.

04Learn

Review evidence before deciding what to extend.

What success would look like

More clarity, more confidence, and a better basis for the next decision.

For an SME, the first useful outcome may be a shared way to decide where AI belongs, not a dramatic transformation claim. The organization can learn which work benefits, what people need, and whether a larger implementation is justified.

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