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1% to 58% auto-decisioning. Five people. NZ$1M. Ten months.
A New Zealand bank was auto-decisioning less than 1% of business lending applications. That meant almost every application needed a human to review it. Contact centre staff. Credit analysts. Manual touchpoints at every step. The target for phase one was 60% up to $250,000. I was brought in to lead scoping, requirements, and business rules definition for the rebuild. The budget was NZ$1M. The team was five people. The challenge nobody had fully cracked with a previous attempt

Rebecca Speirs
Apr 272 min read


Align early on what 'good' looks like and prevent pain later
I once stepped into a high-stakes solution rebuild—a total 'redo' after a vendor delivery had failed business acceptance testing. The biggest gap? The delivery team failed to understand the ripple-through impacts of complex calculations across the solution. There were no clear acceptance criteria agreed with the business up front. Frustration all round. The redo: building a read-only MVP for immediate business validation (using AI-accelerated discovery) enabling: - Early al

Rebecca Speirs
Apr 211 min read


Five senior executives. 29 projects to prioritise. One unanimous decision. 20 minutes.
That happened at a New Zealand Bank for a phase of a risk programme I worked on. I built a physical, colour-coded priority board that put every project in the room at once. All 29. Visible, sortable, comparable. The executives could see the trade-offs between value, cost, risk and other key factors in real time. They didn't need a lengthy workshop to align. The clarity of the information design did the work. They viewed, discussed, moved one item nearer the top and confirmed

Rebecca Speirs
Apr 141 min read
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