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Your AI risk appetite is too narrow

Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.

How to manage AI token costs
Everyone is freaking out about token costs. Here's why yours going up might be a good sign.

The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.

Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.

How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.

ChatGPT’s unhelpful responses might be your fault
When ChatGPT gives us subpar answers, it's our instinct to blame the tech. However, the real problem with human-AI collaboration is not the AI.

Where’s the money in AI? 10 insights from Azeem Azhar
Which AI projects and businesses will make their money back, and which will falter? Exponential View's Azeem Azhar weighs in.

Section now has a mobile app!
Download the Section app in the Android or iOS store to watch and complete courses on the go.

How to become a Chief of AI
Pitch yourself as Chief of AI using this AI job description and talking points.

8 secrets to great AI prompting
Learn how to write a prompt for ChatGPT that gets a great result.

We Analyzed 4,500 AI Use Cases. Here's What We Found.
Most employees use AI regularly, but only 2% report use cases that involve meaningful automations, because companies aren’t helping people figure out what to use AI for.

AI-native engineering: the 2/2/2 framework
Building an AI-native engineering team isn't just about using new tools. At Section, we use Domain-Driven Teams and the 2/2/2 framework to ship feature-complete value every six weeks.

How Klaviyo helped 1,800 employees find a great AI use case
In 2026, AI cannot be an optional career-builder for a handful of employees – it needs to be a business expectation for everyone in the company. Klaviyo took the first step into mandating AI use in Q4 and their AI Transformation Lead shared how it went.

The new “super leader” has different skills
Today's leaders have a new problem ahead of them: How to transform their businesses into "supercompanies" by fundamentally rethinking the work they do every day.

Escaping the AI Use Case Desert
We launched a new agent in ProfAI: Use Case Coach. This is the solution to flailing enterprise AI adoption rates, here's why.

The hidden reasons you’re not getting AI ROI
If you’ve been thinking “I’m doing everything I’m supposed to, why is my AI deployment falling flat?” We have answers. TL;DR - you might be doing the right things, but only halfway.
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