Be the go to expert on AI tranformation
Subscribe to join 200k+ other strategic operators and receive weekly intelligence on making AI actually work
.svg)
.svg)
.svg)
4 habits that make or break your AI agents
.png)
Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
.jpg)
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.
4 habits that make or break your AI agents
Start structuring your work as if agents will be reading it - because they will.
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.
The 3 AI strategy investments leaders should make in 2026
Here are the places leaders need to be investing resources next year - but let's make one thing clear: This is at the cost of some of your other 2026 strategies.
The 5 AI investments marketing teams should make in 2026
If you’re a marketing leader staring down the barrel of your 2026 budget sheet wondering what should get top priority, you’re in luck. Hubspot's SVP of Marketing, Kieran Flanagan, gave us his top 5 recommendations.
Is SEO dead or is GEO hype?
There’s no doubt about it, marketing is changing with AI. But are the old ways actually dead or are flashy new strategies like GEO all smoke?
Can you build a team of just AI tools?
The same question has persisted all year: Can you reduce headcount by just using AI tools? Google’s Amit Rawal is trialing a largely AI-based team, and here are his lessons.
How to redesign roles with AI
Augmenting workflows is just the beginning of working with AI. To unlock huge time savings and strategy opportunities, eventually you need to rethink those processes altogether.
AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
How an AI expert built agents for Toyota and Universal Theme Parks
Brian Kolodny has designed chatbots for 37 Global 100 companies. Here's how he used them to create better customer experiences for Toyota and Universal Theme Parks.
Google Gemini vs. Microsoft Copilot: Which is right for your business?
Gemini for Google Workspace and Copilot for Microsoft 365 both promise to enhance productivity. But which one gives you the most bang for your buck?
Copilot for Microsoft 365: What You Need to Know
Microsoft Copilot is the LLM of choice for 23% of companies, so how good are the new features of Copilot for Microsoft 365? Our AI expert's review.
.webp)
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.
