For senior ICT executives, business executives, and their teams, the rapid proliferation of generative artificial intelligence (AI) has shifted from an era of eager experimentation to one of rigorous fiscal scrutiny. As tools like Microsoft Copilot are aggressively bundled into enterprise agreements, procurement departments and boardrooms are increasingly demanding clear proof of return on investment. Understanding how to extract tangible business value from conversational AI is now a critical priority, as organisations risk sinking substantial capital into technologies deployed without a well-structured strategic framework. Navigating this complex landscape requires leaders to move beyond standard vendor productivity metrics and instead design strategic, value-based roadmaps that align with contemporary operational realities.
During the recently concluded webinar, IBRS advisor Dr Joseph Sweeney explored why conversational AI value is uniquely difficult to quantify due to its highly diffused benefits across the enterprise. Key discussion points focused on the hidden costs of AI adoption, notably the verification tax, the significant workflow burden required to critically review and audit fallible, hallucinated, or out-of-date outputs. The session highlighted the risk of skill erosion, in which employees mistakenly hand over deep business reasoning to pattern-replication tools, leading to intellectual dependency and quality-control failures. To counteract these failure modes, the webinar outlined a maturity-led roadmap, human-AI interaction models that treat AI as a ‘fallible intern,’ and a pragmatic action plan to establish robust governance and benefits management.
Watch the webinar and download the comprehensive presentation kit to equip your leadership team with this unique thought leadership.
