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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.
3 steps to uncover your real competitors (hint: they may not be who you think)
April Dunford is a product positioning expert who helps executives zero in on the real competitive alternatives to their product.
In this post, we’ll share some of her tips.
7 steps to writing a powerful sales pitch
In life, great stories can have a profound impact. Hence why you (we) wept like a baby at the end of Titanic.
But great stories don’t just belong on the big screen. Their power belongs in the business world too. The key to a sales pitch that wins clients, gets business, and drives results? You guessed it. Storytelling.
In this post, we’re going to walk you through positioning master April Dunford’s sales story framework. This is the narrative that helps you easily communicate the unique value of your product to customers.
5 questions every great manager asks their team
Stop asking, "When will I get this by?" and start asking the five questions that matter for coaching great teams.
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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Section HQ
For any
(and every)
leader responsible for AI success
From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
