●Our Story

Our story.

We led GoTyme's AI transformation end to end. Here is what we changed, why we built Descent, and where the name comes from.

01Inside GoTyme

We changed how an entire bank works.

When we started, almost no one at the bank used AI. Here's how we changed that.

Top-down workshops

We ran AI workshops from the top down, starting with the board and executives.

A standard for everyone

Every employee had to meet it, including building their own AI agent.

Agents into production

A specialist team shipped agents into the worst back-office bottlenecks.

Embedded everywhere

Teams moved into every business unit until AI was how the company ran.

20M

customers across two continents

1,600+

people trained to work with AI

3 → 37

specialist AI team, in a year

70+

agentic systems in production

02Who we are

Why we built Descent.

Andrew Pfaff

Founder

David Sithole

Founder

Nikos Pasion

Founder

We were lucky. We got to lead GoTyme Bank's AI transformation end to end, taking the bank from almost no AI to deeply AI-native: 37 AI engineers and 70+ agentic systems in production. We had real room to experiment, made plenty of mistakes, and learned an enormous amount.

What stayed with us was the distance. The gap between people who use AI well and everyone else has become enormous. The top 1% of engineers now ship 46x more code than the median. It started in software, but it's spreading fast. Anthropic, worth hundreds of billions, runs its entire growth marketing with one person.

The businesses that close that gap will get two things right: people who can direct teams of AI agents, and data and systems underneath that compound as the models improve. That's the work we did at GoTyme, and it's the work we now do for other companies, faster each time.

And the same shift opens something bigger. Pair deep domain expertise with AI and you can build whole new companies in months. Doing that alongside the people who know a market best is what excites us most. It's why Descent exists.

The name

Why we're called Descent.

We chose the name for two reasons.

Gradient descent is how almost every modern AI model learns. With each step, the model tunes itself to make its errors a little smaller. Plotted on a graph, each step moves downhill toward the point where the gradient flattens to zero. How it works ↗

The only way to truly become AI-native is to descend knowledge and expectations from the top down: from shareholders to the board and executives, and on to every employee.

Become AI-native.

We've done it inside a bank. We'd like to do it again.

Book a call → See open roles