- Where is AI delivering measurable efficiency gains across investment banking workflows today?
- How are banks deploying AI in pitch creation, and what impact is this having on junior resource models?
- What does an AI-enabled VDR look like in practice, and how is it changing deal execution dynamics?
- How can AI tools support better decision-making in volatile or uncertain market conditions?
- What governance, compliance and risk considerations are emerging as AI adoption scales?
- How are firms differentiating their AI strategies in an increasingly crowded market?
AI in investment banking: from hype to workflow advantage
Artificial intelligence has become a dominant theme across financial services, yet for investment banking practitioners the focus is rapidly shifting from potential to application. In an environment defined by tighter timelines, constrained resources and continued market volatility, the ability to embed AI within day-to-day workflows is emerging as a meaningful source of competitive advantage.
From automating slide generation and refining pitch narratives to rethinking the role of virtual data rooms in deal execution, banks are beginning to deploy AI in ways that directly affect productivity, consistency and risk management. These developments are not simply incremental: they are reshaping how teams allocate time, how junior bankers are utilised and how decisions are made under pressure.
This interactive webinar, in partnership with AlphaSense examined how AI is being applied in practice across investment banking workflows today. The discussion focused on specific, high-impact use cases, while also addressing the governance, reliability and differentiation challenges that firms face as adoption accelerates. Drawing on AlphaSense data and practitioner insight, the session provided a clear, grounded view of where AI is delivering measurable value, and where its limitations remain.
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Tom Drakeley
Commercial Manager - Global Asset Management, FT Specialist
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