Behavioural Event Interviews (BEIs) have long been a cornerstone of leadership assessment, offering deep insights into how individuals think, act, lead and make decisions in real-world scenarios. Traditionally, these interviews rely on skilled assessors to probe for evidence and evaluate behaviours against a structured framework, at GFB, this is our Schroder High Performing Management Competency model.
With the rise of AI, many organisations are asking: Can technology enhance this process without losing its human touch? In fact, a growing number of our clients come to us specifically asking how we can use AI to make interviews more efficient without compromising quality. This question is shaping the future of leadership evaluation.
AI brings undeniable advantages to BEIs:
• Transcription Accuracy: Tools can transcribe interviews in real time, saving hours of manual effort and allowing interviewers to focus on probing deeper, rather than writing notes.
• Behaviour Tagging: AI can spot patterns linked to leadership attributes, saving substantial analysis time.
In our recent trial, AI demonstrated strong capability in identifying and flagging behaviours aligned with the Schroder framework’s 11 competencies across four behavioural clusters, something that would take a human assessor much longer to do.
However, our research revealed a critical flaw: AI was generous, too generous, with its ratings. While it correctly identified behaviours, it often assigned scores far higher than our Schroder behavioural framework would recommend. This highlights a key risk: AI lacks the nuanced judgment that experienced assessors bring. Competency frameworks are designed to calibrate behaviours against clear standards and overinflated ratings can distort development priorities or even recommend hiring someone whose ability is below the required skillset.
AI models typically learn from large datasets and optimise for pattern recognition, not for subtlety. They lack Situational Awareness Calibration (SAC) and cannot assess consistency, impact, or how behaviours manifest across contexts. As a result, AI may interpret any positive behaviour as “high performance,” missing the contextual depth that human assessors naturally apply after years of structured training and experience.
The takeaway? AI should support, not replace, human expertise in BEIs.
Here’s the bigger picture: consultants do far more than scoring interviews. They bring strategic, developmental and ethical value that makes BEIs meaningful and actionable:
• Strategic Alignment: Consultants ensure assessments link directly to organisational priorities, not just generic leadership traits.
In short, consultants make BEIs more than a diagnostic assessment, they turn them into a strategic tool for leadership.
We also have to consider the ethical implications of using AI:
AI is exciting, but it’s not a silver bullet. It can accelerate the mechanics of BEIs, yet it cannot replace the human judgment that ensures fairness, strategic alignment and developmental impact. The strength of a robust framework lies in combining behavioural science, clear developmental levels and organisational relevance. AI should streamline, not substitute Consultants, making space for experts to safeguard outcomes and uphold values. In leadership assessment, nuance matters and that’s something no algorithm can fully replicate.
If you are interested in discussing how GFB can support in your Leadership Recruitment or want to know more about Behavioural Event Interviews for your organisation please get in touch.