Building the AI Bank

  • Built for boards, executive teams and senior business leaders.
  • Focused on practical use cases, governance and transformation.
  • Delivered confidentially around your institution’s priorities.

Why in-house matters

AI transformation cannot be led by one team alone. For banks and financial institutions, it requires alignment across leadership, business, technology, risk and operations.

An in-house programme creates space for focused discussion around strategy, governance, priorities and implementation choices using your institution’s context.

This makes the programme more practical, relevant and useful than a generic public workshop.

Banking professionals in a meeting room
Reality One

AI capability today

What modern AI systems can do today, what is changing quickly, and what matters most for financial institutions.

Reality Two

Competitive pressure

How AI-native firms and early movers are reshaping service, operations, distribution, credit and customer engagement.

Reality Three

Institutional change

What banks and financial institutions need to do to adopt AI safely, manage risk and modernise their operating model.

Keynote Sessions / Executive Briefings

Duration: 60 to 90 minutes

Best for: Board, ExCo and leadership forums

Outcome: Shared understanding of AI risks, opportunities and priorities

Achieves alignment, not skill-building. The board or leadership team leaves with a single, current, shared picture of what AI can and can't actually do today, how competitors and AI-native entrants are moving, and which decisions the institution can no longer defer. It's designed to set up the next strategic conversation — a board cycle, a planning session, an exec offsite — rather than to teach.

Strategic Offsite Facilitation

Duration: One day

Best for: Leadership offsites and planning sessions

Outcome: Clear priorities, decisions and next steps

Achieves decisions, not just discussion. Faculty structures the institution's own offsite around its actual strategic choices, using the bootcamp frameworks to pressure-test options rather than present generic content. Leadership leaves with sharper, debated, and stress-tested positions on the AI questions specific to their bank — clarity on trade-offs, not a training certificate.

One-Day Training

Duration: One day

Best for: Senior teams needing a focused programme

Outcome: Practical understanding of AI, operating models and use cases

Achieves working capability across a team. This compresses the core bootcamp curriculum — agentic AI, technology architecture, organising for AI — into a single day, plus a hands-on lab with frontier AI tools. Participants leave able to speak intelligently about the technology and its institutional implications, and with direct, practical exposure rather than theory alone.

Two-Day In-House Bootcamp

Duration: Two days

Best for: Institutions seeking a full strategic and practical programme

Outcome: Draft AI transition strategy and proceedings report

Achieves institutional readiness. This is the complete outcome set: a shared and current view of AI capability across the institution, better strategic decisions, hands-on exposure to frontier tools, and — uniquely to this format — a draft AI transition strategy for the institution itself, built and stress-tested with faculty and peers by the end of the programme. Participants also leave with a proceedings report and full programme materials, so the outcome persists beyond the room.

We assign the faculty most closely matched to your bank.

Our faculty includes experienced operators, strategists and policy experts with deep experience in banking, financial services, technology and transformation.

Emmanuel Daniel
Emmanuel Daniel
Head Faculty, The Banking Academy · Founder, TAB Global
Founder of TAB Global — The Asian Banker, The Banking Academy and TABInsights — and author of Building the AI Bank: Speed, Judgement and Power, the book on which this programme is built. He has spent three decades interviewing and advising the chairmen, CEOs and policymakers of the world's leading financial institutions.
Axel Winter
Axel Winter
Former Global Head, Enterprise Architecture & Technology Strategy, Standard Chartered
Led a US$1bn+ global technology and enterprise architecture agenda across more than 30 markets at Standard Chartered, shaping the bank's digital, data and AI strategy. He is now CEO of Xponential, Chief Digital Officer at Siam Piwat Group, and advises boards on practical AI adoption through Pivot Digital.
Juergen Rahmel
Juergen Rahmel
Global AI & Digital Innovation Expert · Lecturer, University of Hong Kong
Holds a PhD in artificial intelligence and has spent his career building AI inside global banking — including as Chief Digital Officer of HSBC Germany and head of AI research at HSBC's innovation lab in Hong Kong. He lectures on generative AI in finance at the University of Hong Kong.
Tawonga Machusha
Tawonga Machusha
Board Member, Africa Fintech Network · Global AI Policy Leader
A leading voice in Africa's fintech and AI ecosystem, he is president of the Fintech Association of Botswana and co-founder of Xavier Africa, an AI and digital transformation company. He is recognised for bridging technology and policy — shaping AI governance frameworks that enable innovation while protecting consumers.

Who is this for:

board-members

Chairmen, board members and CEOs

banking

Executive committees and business heads

entrepreneur

Heads of strategy, innovation, AI, data and technology

finance-solutions

Heads of risk, channels, operations, HR and learning

What your institution will leave with

A shared view of what AI can realistically do today

Better understanding of strategy, architecture and governance choices

Practical exposure to leading AI tools and use cases

For full formats, a draft AI transition strategy reviewed with faculty and peers

automation

A shared view of what AI can realistically do today

financial-institutions

Better understanding of strategy, architecture and governance choices

innovative

Practical exposure to leading AI tools and use cases

innovative

For full formats, a draft AI transition strategy reviewed with faculty and peers

Banking professionals in a meeting room
Programme Outputs

Sample deliverables

  • Executive briefing notes
  • Summary of key decisions discussed
  • Priority AI opportunities and focus areas
  • Governance and operating model considerations
  • Draft AI roadmap or transition strategy
  • Proceedings report and presentation materials
The faculty

We assign the faculty most closely matched to your bank.

Our faculty includes experienced operators, strategists and policy experts with deep experience in banking, financial services, technology and transformation.

Emmanuel Daniel
Emmanuel Daniel
Head Faculty, The Banking Academy
Founder, TAB Global
Axel Winter
Axel Winter
Former Global Head, Enterprise
Architecture & Technology Strategy, Standard Chartered
Juergen Rahmel
Juergen Rahmel
Global AI & Digital Innovation Expert
Lecturer, University of Hong Kong
Tawonga Machusha
Tawonga Machusha
Board Member, Africa Fintech Network
Global AI Policy Leader

The Methodology

The methodology comprises the following four straightforward steps carried out in complete consultation with the sponsor in your organisation.

Step 1

Proposal and contract

Step 2

Scoping and research

Step 3

The agreed session

Step 4

Post-event proceedings report

Enquire Now

Every bank is at a different point. Your programme should be too.

Discuss with our marketing team and we will design and send you a proposal for a programme that suits your bank — format, faculty, duration and focus areas configured to your institution.

Why institutions choose this programme

Built specifically for banks and financial institutions

Designed for senior decision-makers

Focused on strategy, governance and business impact

Delivered confidentially around institutional priorities

Led by faculty with real industry and policy experience

Why TAB Global

TAB Global has spent over two decades embedded inside the banking industry — not observing it from the outside. As the organisation behind The Asian Banker's research, events and executive community, TAB Global sits closer to how real banks actually make decisions than any generic AI training provider can. This programme isn't adapted from a general-purpose AI curriculum; it's built directly on Building the AI Bank: Speed, Judgement and Power, written by TAB Global founder Emmanuel Daniel, and delivered by faculty who have actually run technology and architecture functions inside global banks, advised regulators on AI policy, and worked the frontier of AI adoption in financial services. The result is a programme grounded in banking reality, not vendor pitch decks.

Know More
Banking professionals in a meeting room
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Request a proposal

Tell us about your requirements and our team will recommend the right format, faculty, duration and focus areas for your institution.

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