Brandon Blanc AI Product Leader

AI Product Leader

I started on the phones. Now I’ve shipped AI inside

I take AI from demo to something frontline teams and customers actually use inside organisations where regulation, scale and systems make that genuinely hard.

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The problem

Your pilot worked. That was never the hard part.

Every large organisation now has a wall of successful demos. What almost none of them have is AI that a frontline team trusts on a Tuesday afternoon with a real customer on the line.

The gap is not model quality. It is ownership, operating model, risk posture, and whether anyone actually changed the way the work gets done.

  • The demo with no owner

    It tested well, everyone applauded, and then it belonged to nobody. No roadmap, no pathway, no budget line.

  • The business case that assumed the process changed

    The numbers only work if the workflow around the model changes too. That part never got funded.

  • The capability nobody asked for

    Built because it was possible, not because it was needed. Shipped to a team already carrying three other changes this quarter.

Why me

Not from the technology side. Not from the strategy side.

I am Brandon Blanc, an AI product leader who moves enterprise AI from pilots into real outcomes. I work with enterprise leaders ready to make that shift.

Most people in the AI conversation arrive from one of two directions: the technology or the strategy. Neither is enough on its own.

I came in from a third. Before any of the strategy work, I was in contact centres, on the phone with people whose problem had already gone wrong. That is a specific kind of education. You learn fast that a customer does not care what is under the hood, and that a tool the frontline does not trust is a tool that does not get used.

From there: digital product and transformation, then AI product leadership inside the Commonwealth Bank of Australia and Qantas Airways, across retail banking, share trading and aviation. Organisations where nothing ships on enthusiasm alone.

I do not optimise for the technology. I optimise for the outcome.

My Story

A path built one measured step at a time

The hardest part of AI in enterprise is not the technology, it is the journey. Mine started with customers, not models.

  1. The beginning

    Frontline contact centres

    Customer frontline

    Before any of the strategy, I worked the frontline. I talked to real customers and learned what they actually need when something goes wrong. That experience still shapes how I think about AI.

  2. Next

    Digital transformation

    Digital and transformation roles

    I moved from the frontline into digital product and transformation. There I learned how change really lands inside large organisations, not how it looks on a slide.

  3. Then

    Commonwealth Bank of Australia

    AI product leadership

    AI product leadership inside the largest bank in the Southern Hemisphere. Regulation, scale and customer trust set the bar for everything you ship.

  4. Now

    Qantas Airways

    AI product leadership

    AI product leadership at a 100-year-old airline, at a scale few organisations can match. The work: turning AI capability into real, measured outcomes.

Ideas

Notes from the work, not the hype

Practical thinking on getting AI past the demo. Notes for the teams who run customer service and daily operations.

  • Enterprise AI

    Pilots that impress, products that last

    Most enterprise AI pilots stall after the demo. Here is what it takes to cross from proof of concept into something customers and operations teams actually rely on.

  • Transformation

    The journey is hard, not the technology

    You can build toward an AI-enabled future without betting the business on one big transformation programme. The case for small, measured steps.

  • Product leadership

    Optimise for the outcome, not the model

    Customer outcome beats technical capability. How to keep enterprise AI honest when the pull is always toward the newest feature.

Speaking

Talks that cut through the AI noise

I speak to leadership teams, conferences and podcasts about what it actually takes to make enterprise AI work. Grounded, specific and free of hype.

Brandon Blanc is an AI product leader. He has shipped AI inside two of the most complex, regulated organisations in banking and aviation. He brings a frontline-first view: keep the customer at the centre, move in measured steps, and optimise for the outcome.

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  • What it takes to ship enterprise AI

    A practical view of what it takes to get AI past the demo. Real steps for shipping it inside a complex, regulated organisation.

  • AI without betting the business

    How to build AI capability in small, measured steps. Each one delivers real value and grows trust and organisational muscle.

  • Customer outcomes over capability

    Why the frontline view matters. Keeping the customer at the centre is what separates transformation theatre from a lasting product.

In his own words

Read transcript

I have spent my career on both sides of the AI conversation: close enough to the technology to know what it can actually do, and close enough to the frontline to know what customers actually need. That is the lens I bring to every AI programme I lead, whether that is inside a bank the size of the Commonwealth Bank of Australia or an airline like Qantas. The work is never about the model. It is about the outcome for the person on the other end of it.

Contact

Let us talk about what is next

A keynote, a podcast chat, or just a good question about AI. I would love to hear from you.

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