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4 habits that make or break your AI agents

Meet your professor: Emerging tech and AI consultant, Elizabeth Shaw
Elizabeth Shaw has worked in emerging tech for nearly 25 years at companies including Gartner, Sephora, and Forrester. Now, she’s your new guest lecturer in Section’s AI Crash Course.

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 we used AI to improve course quality by 20%
One common misperception about AI is that it’s only good for making processes quicker. Education Product Lead, Kyra Atekwana, shared how it also improved our content quality by 20%.

How a Bayer CFO is thinking about AI ROI
Your CFO will want to see your plan for proving ROI before they greenlight your AI initiatives. But what we learned from Bayer CFO, Florian Zirnstein, is that not all CFOs need to see hard numbers to measure success.

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.

4 habits that make or break your AI agents
Start structuring your work as if agents will be reading it - because they will.

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.

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.
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Section HQ
For any
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From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.
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