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The Human Differentiator: Designing Consultancy Assessments in the Era of Ubiquitous AI

Research output: Contribution to conferenceConference paper (not formally published)

Abstract

This initiative extends existing practice in business and management education by rethinking how generative AI and assessment design can support authentic, inclusive and future-facing consultancy learning. While consultancy-style modules are well established, they often assume that students can independently synthesise complex organisational and policy evidence and confidently engage with clients, assumptions that can disadvantage students with less prior exposure to professional environments.

The initiative addresses this by positioning generative AI as a pedagogical scaffold (derived from Vygotsky, 1978) and aligns with the Advance HE Framework for Embedding Employability (2024/25), which emphasizes that employability should be an embedded feature of the curriculum. By using AI to navigate high-volume data, students bypass initial cognitive overload and focus on the higher-order tasks of problem framing and ethical reasoning.

A distinctive feature of the approach is its emphasis on the human and relational dimensions of consultancy, to generate quality solutions. Assessment explicitly values students’ ability to ask effective questions of consultancy clients, demonstrate professional vulnerability (acknowledging uncertainty or incomplete understanding), and adapt their thinking in response to client input. The inclusion of authentic constraints, including limited client availability and time-pressured responses, mirrors work related conditions and requires students to prioritise information needs, work with partial data and exercise professional judgement under uncertainty.

As noted by Freeman (2025) & Carden & Freeman (2025) the challenge for graduates is no longer just using AI, but uncovering and articulating the human skills that AI cannot replicate. By deliberately integrating AI use within a consultancy framework, the initiative builds skills, ensuring students are not just workforce-ready but capable of leading in an AI-integrated professional landscape.
Original languageEnglish
Publication statusPublished - 18 May 2026
EventChartered Association of Business Schools; Learning, Teaching & Student Experience 2026 - Manchester, United Kingdom
Duration: 18 May 202619 May 2026
https://charteredabs.org/events/ltse2026

Conference

ConferenceChartered Association of Business Schools; Learning, Teaching & Student Experience 2026
Abbreviated titleLTSE
Country/TerritoryUnited Kingdom
CityManchester
Period18/05/2619/05/26
Internet address

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