Brett StClair
Most large organisations have run AI pilots. Very few have moved them into operating reality. The gap is rarely about the technology. It is about governance, internal capability, legacy stacks and the absence of senior leaders who can credibly translate AI from a vendor pitch into a portfolio of operational bets.
Brett StClair is a former Google and Barclays Africa executive who helps large organisations move AI and digital transformation from pilot into operating advantage.
Full Profile
Why organisations work with Brett StClair
- He has run the inside of both sides of the problem: a Google regional product portfolio and the digital stack of a 40,000-person bank across 32 markets. That is rare credibility on the operating reality of AI inside a regulated enterprise.
- He frames AI adoption as a leadership and workforce problem first, technology problem second, which is what most boards actually need before they spend the next budget cycle on tooling.
- Through Teraflow.ai he works with enterprise clients on the implementation, not only the strategy. The keynote content is grounded in current delivery, not retrospective case studies.
- The “Rebel Technologist” thesis gives senior leaders a usable language for identifying and protecting the internal disruptors who actually move transformation programmes.
Biography highlights
- Co-Founder and Chief Connector, Teraflow.ai, an enterprise AI and cloud consultancy.
- Former Head of Digital Products, Barclays Africa, leading digital modernisation across 32 countries.
- Former Google executive across mobile, YouTube, AdMob and Cloud for the Africa region.
- Host of the “Rebel Technologist” podcast on AI adoption and digital leadership.
- Computer Science, University of Cape Town. MBA, University of South Africa.
- Featured in BBC, Financial Times, Forbes and regional business press including ITWeb and Business Day.
Biography
Most enterprise AI conversations stall at the same point. Leaders agree the technology is significant. They cannot agree what to do with it on Monday. The gap between a board’s appetite for AI and an operating model that can actually absorb it is now the central problem in digital transformation, and it is exactly where Brett StClair works.
StClair spent his Google years inside the product engine for Africa, with responsibilities across mobile, AdMob, YouTube and Cloud. He left to take on a different kind of problem: rebuilding Barclays Africa as a digital bank, leading product across 32 countries and an organisation of around 40,000 people. That experience, working at the seam between a hyperscaler and a regulated bank, sits behind his current work.
As Co-Founder and Chief Connector of Teraflow.ai, he leads enterprise engagements on AI and cloud adoption with banks, healthcare organisations and large corporates. His “Rebel Technologist” thesis, carried through his podcast and keynotes, names a recurring pattern inside large firms: the internal disruptors who actually move transformation forward, and the leadership choices that determine whether they survive long enough to ship.
His keynote from Google to global banking has been delivered to audiences including Mastercard, Vodafone, Standard Bank, Nedbank, FNB, Deloitte and Accenture, and his work has been referenced in BBC, Financial Times and Forbes coverage of AI and digital change.
Key speaking topics
- Enterprise AI adoption
- Generative AI in regulated industries
- Digital transformation at scale
- DevOps and agile inside large organisations
- Cloud strategy for enterprises
- Innovation culture and internal disruptors
- Leadership in technology change programmes
Ideal for
- CIOs, CDOs and CTOs setting AI and cloud strategy
- Transformation, innovation and digital leads moving from pilot to production
- Boards and executive committees in banking, healthcare and large corporates
- Heads of operations and HR designing workforce capability around AI
Audience outcomes
- A clearer view of where AI investment converts into operating advantage and where it does not.
- A working language for governance, risk and capability around generative AI in regulated environments.
- Practical lessons from inside Google and Barclays Africa on what makes large-scale digital change actually land.
- A sharper sense of how to identify and protect the internal disruptors who carry transformation programmes through their hardest stages.
Talks
A keynote on where generative AI is heading and how organisations should be positioning themselves to use it responsibly.
Key takeaways:
- A grounded view of generative AI capability, including LLMs and assistants such as ChatGPT, beyond the hype cycle.
- A practical lens on responsible AI adoption inside regulated and risk-sensitive industries.
- A framework for treating AI as augmented intelligence, not headcount replacement.
A case study keynote based on the speaker’s own journey from Google into the digital rebuild of Barclays Africa across 32 countries.
Key takeaways:
- Why most enterprise digital programmes fail at the operating layer, not the strategy layer.
- How agile, DevOps and design thinking actually behave inside a large regulated organisation.
- What senior leaders need to do personally for a multi-year transformation to survive.
A keynote on the internal disruptors who carry transformation work inside large organisations and how leaders should treat them.
Key takeaways:
- A working definition of the “rebel technologist” and how to identify them in your own organisation.
- The organisational conditions that allow internal disruptors to ship, and the conditions that quietly push them out.
- How to use AI, data and machine learning as practical levers, not symbolic ones.