It’s Intelligence. In harmony.

Your intellectual capital is every form of intelligence in your organization, working as one.

Intelligence becomes true equity when it’s holistic: business intelligence that brings clarity in context, artificial intelligence with the transformative power to build the new world, and human intelligence that gives it purpose.

DISH NetworkThe House of Intelligence.Incubating a people-led AI transformation at DISH

Artificial intelligence

A power without precedent: tireless, faster than thought. On its own, it rarely builds anything lasting. Guided by human purpose and judgment, it can amplify what people can do.

Bass Pro ShopsUnleashing Tribal Knowledge.How AI enabled a human-first consultative selling advantage at Bass Pro

Business intelligence

Somewhere deep in your data, a truth is waiting in quiet patterns lost in the noise. With human judgment and machine together, the past can begin to reveal the future.

WalmartCapital Scenario Modeling at Walmart Scale.Creating a product discipline for high-stakes ML in Walmart's Intelligent Business Unit

Human intelligence

Every organization has a soul: people who hope, doubt and still show up. As machines take on productivity, the greater prize may be work that truly fulfills the people who do it.

Aisle RocketAwesomeness Connects Us All14 years building Aisle Rocket's digital business and its culture

25 years of building with

Meet Kashif

Roadblocks are
for roads.

I’ve built my career where the map runs out: open territory, where dreams shape the future and the bumps are just part of the terrain.

My mission is to relentlessly pursue intrinsic human fulfillment for the team, the customers and the stakeholders… in that order.

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Walmart · Decision Intelligence | Confiz

Capital Scenario Modeling at Walmart Scale.

Creating a product discipline for high-stakes ML in Walmart's Intelligent Business Unit

The question

Walmart's Intelligent Business Unit is where funding decisions get made: which initiatives receive operating and capital budget, and how much. Leaders wanted to make those calls together, in real time, against live scenarios, with machine learning informing them. There was no deterministic output, no clean backlog and no precedent for governing it. The assumptions behind the traditional software development lifecycle simply didn't hold.

What I did

Walmart paired its own leaders with outside product leadership for work that was new to everyone. Embedded as one of four leaders in a four-in-a-box team, I led product for a real-time scenario modeling platform. On it, leaders across finance, merchandising and supply chain could work OpEx and CapEx scenarios together on a shared live canvas, seeing every change as it happened and how it moved the outcome. Its first machine-learning proof of concept turned demand signals into forward-looking inputs for those scenarios, and it was one of the early ML-driven initiatives presented to senior leadership. Because the old lifecycle didn't fit, I built the discipline around clarity instead of certainty: confidence standards tied to decision thresholds, shared scenario modeling across departments, and clear ownership of probabilistic outcomes. We ran it as a scaled agile program.

What changed

Blueprint

The result was an operating blueprint for product-managing AI at enterprise scale. It brought machine learning into OpEx and CapEx funding decisions as a structured, governed input, and gave Walmart a repeatable way to lead ML work when the old processes don't carry over.

The lesson

The old processes don't survive the shift to machine learning. Building the discipline that replaces them, at enterprise scale, is the real work — and it transfers.

It’s Intelligence. In harmony.

House of intelligence

Artificial intelligence

Business intelligence

Human intelligence

25 years of building with

Roadblocks are
for roads.

Ride the wave. Don’t chase it.

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