Isaak Lagerman

Case study

06 / 09FOREFRONT CONSULTING · RESEARCH AND STRATEGY ENGAGEMENT2025

A qualitative diagnosis translated into practical remedies for coordinated generative-AI adoption.

A qualitative diagnosis of why capable consultants struggled to adopt generative AI, translated into prioritized recommendations.

Forefront AI adoption-barriers strategy engagement

Challenge

Forefront needed to understand why generative-AI knowledge remained fragmented, why informal encouragement was not producing coordinated adoption and why some consultants treated AI use as professionally illegitimate.

My contribution

I conducted a Gioia-method case study, identified the most urgent cultural and structural barriers, and translated the findings into practical remedies for the firm's consulting operations.

Approach

Conducted 12 semi-structured interviews, each 30 to 75 minutes, and coded the material through first-order concepts, second-order themes and aggregate dimensions.

Diagnosed barriers including weak knowledge-sharing structures, unclear guidance, leadership-communication gaps and professional-identity concerns.

Developed prioritized remedies including reflection-based guidance, a possible code of conduct, role-specific training, prompt-library expansion and an AI ambassador network.

Outcome

The recommendations were presented to the CEO and all department heads, remain in use, and led directly to a larger follow-on engagement.

Deliverables

  • Qualitative case study
  • Three-level Gioia analysis
  • Prioritized recommendations
  • CEO and department-head presentation

Find the portfolio patterns.

A cross-company analysis that turned original market research into repeatable generative-AI opportunities.

Private-equity portfolio AI opportunity analysis

Have a similar problem?

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