In the classroom
Where concepts turn into capability
OzLeap is a management consulting practice. A disciplined way of thinking that works when the situation is messy and the stakes are real — applied to risk, decisions, and operations.
Leading the practice
Saeed Andalib leads the practice. His path runs through both industry and academia, but the core has stayed consistent: a disciplined way of thinking that works when the situation is messy and the stakes are real.
He is most at home where the picture is incomplete — where assumptions hide in plain sight, trade-offs are unavoidable, and the “obvious” answer often breaks later.
That blend — analytical depth, behavioural awareness, and practical judgment — is what guides the practice.
The operating system
What sits underneath is not a job title or a specialty. It’s an operating system that guides every engagement:
Start with structure
Strip away noise
Test what matters
Keep the reasoning clear enough that others can use it — not just admire it
Grounded in practice
Respect how decisions get made, design work that people will actually adopt, and stay close to execution so the thinking survives contact with reality. These principles aren’t slogans — they are simply how the work gets done.
In the classroom
Principles guiding the practice
Structure before solutions. How problems are framed determines outcomes. The first job is always to slow down and ask: are we solving the right problem?
Minimalism as discipline — removing what doesn’t add value. Complexity is often a symptom of unclear thinking, not a sign of thoroughness.
Mathematical thinking applied carefully in real, messy contexts. Numbers must earn their place. When they do, they add precision and accountability that words alone can’t.
A clear internal standard for what “great” looks like — and the discipline to hold to it even when shortcuts are tempting. Quality is a choice made repeatedly.
Peer-reviewed research
If you’re interested in the bridge between behavioural economics and investment valuation — how real decisions under uncertainty diverge from “textbook” valuation — this paper explores how valuation can better reflect how decisions are actually made.
Read the paperWhat
Investment valuation often assumes one “correct” answer
Based on probabilities and discounting. In real high-stakes decisions, people also judge outcomes relative to a baseline, feel losses more strongly than gains, and vary in comfort with uncertainty.
So what
Ignoring human elements creates a dangerous gap
If valuation ignores these elements, the “best” model on paper produces numbers decision-makers won’t trust or act on — leading to mispricing and weaker investment choices.
Now what
Make risk preferences explicit and transparent
Rather than hiding them inside a vague risk premium. Aim for valuation that is defensible in context: analytically grounded, clear about assumptions, and appropriate for the decision environment.
Work with us
A short call is often enough to understand whether we’re the right fit. No pitch — just an honest conversation.
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