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WEDNESDAY, SEPTEMBER 2, 2026
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Every week we break down practical uses of AI to build smarter systems and scale faster, resulting in more profitable workflows in your business.
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📘 Scott's New Book · Just Released
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Scott Hall is a contributing author to The AI Transformation.
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Trending this Week:
A marketing director I talked to last week was thrilled. Her team had cut content review time almost in half using AI, hours she assumed would show up somewhere on the quarter's numbers. When she pulled the actual output report, the department had shipped almost the same amount of finished work as the quarter before it. The hours were real. The business impact wasn't.
That story keeps repeating itself across almost every business I talk to right now. People are genuinely doing their individual jobs faster. Meetings run shorter, drafts turn around quicker, follow-up emails go out same-day, and research that used to eat an afternoon gets done before lunch. None of that speed is fake. It also isn't turning into a faster business, and most owners can't explain why.
New research finally puts a real number on that gap, and it points straight at where all those saved hours are quietly going instead of showing up on the bottom line. MORE →
Today's Issue:
| ▶ Three AI tools that turn individual speed into work the whole business can actually use |
| ▶ A case study on why 75% of workers feel faster while only 13% of businesses actually perform better |
| ▶ A growth hack for redesigning one revenue-generating role around AI instead of bolting more automation onto it |
This week is about the difference between feeling faster and running a business that's actually performing better.
Let's get into it.
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🚀 AI TOOLS OF THE WEEK
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Tool #1
Omni
Summary
Omni takes AI agents you've already built and tested on your own machine and moves them into the cloud, where they stop depending on your laptop staying open. From there, an agent can run on a schedule and work through tasks that stretch on for hours, available to your whole team instead of locked inside one person's chat history. It also gives you a way to test, watch, debug, and keep improving those agents once they're live instead of setting them loose and hoping.
Why It Matters
An agent that only works while your laptop stays open puts a ceiling on what it can actually do for your business, since it depends entirely on you remembering to keep a chat window running. Moving that same agent into the cloud is what turns it from something you experiment with into something the business can actually depend on, the same way you'd depend on software running on a server instead of your desktop.
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Scott's Take
"Building an agent that works in a chat window is the easy part now. Getting it dependable enough to hand off to your team without you standing over it, that's the actual project. This is the tool category that decides whether AI agents become a real part of how your business runs or stay a side project you show off in meetings."
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Tool #2
Samepage Signals
Summary
Samepage Signals plugs into the tools your team already runs a business through and pulls out the information that actually matters, on its own, before anyone has to go hunting for it. It watches things like customer feedback, what competitors are doing, how a product is actually progressing, where work is getting stuck, and what customers keep asking for, then surfaces the pattern instead of leaving it buried across a dozen different tools.
Why It Matters
The bigger a business gets, the more its most important information scatters across calls, CRMs, project boards, and Slack threads nobody rereads. That information doesn't vanish. It gets buried under everything else that happened that week, and by the time someone notices the pattern, the moment to act on it has often already passed.
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Scott's Take
"Most businesses aren't short on information. What's actually missing is someone noticing the right piece of it in time to act. The data was already sitting in the CRM or the call notes. A tool like this earns its keep the moment it catches something three weeks before a person would have."
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Tool #3
Astute
Summary
Astute is a B2B platform built around creator partnerships instead of traditional advertising. It tracks where your brand already shows up, figures out which creators the people you're trying to sell to already trust, builds a strategy backed by that data, and handles a lot of the legwork behind actually running the partnership.
Why It Matters
B2B buyers increasingly make up their mind about a company before a salesperson ever gets on the phone with them, based on a newsletter they subscribe to, a podcast they listen to, a community they're active in, or a creator whose opinion they already trust. Ignoring that shift means showing up to the conversation after the buyer has already decided what they think of you.
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Scott's Take
"Influencer marketing got treated like a consumer-only play for years. I think that was always a mistake, and B2B buyers are proving it. Put the right trusted voice in front of a specific enough audience and you walk into the sales conversation with credibility you didn't have to build yourself."
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📖 AI IN THE REAL WORLD
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The 11 Hours Everyone Gained and the 6.4 Hours Nobody Talks About
According to a survey of 6,000 digital workers from the Glean Work AI Institute, 75% said AI has made them personally more productive, freeing up an average of 11 hours of work every week. Ask the same group whether AI actually improved how their organization performs overall, and the number collapses to 13%.
The researchers point to something they call coordination neglect. Speeding up one person's part of a workflow doesn't erase the rest of the workflow around it. Someone still has to hand that AI the right context, check what it produced, fix what it got wrong, and make sure the handoff to whoever's next actually lands. The same survey found workers spending an average of 6.4 hours a week on exactly that kind of work, feeding AI context, supervising its output, correcting what it got wrong, and cleaning up whatever it left behind downstream. Researchers labeled this "botsitting."
Their real conclusion is that counting how much AI gets used, how many tasks get completed, how much content gets generated, or how many people are logging into an AI tool every day tells you almost nothing about whether AI actually helped. The only number that means anything is what happens to the entire workflow from the first step to the last one.
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Scott's Take
"Measure whether AI made the entire process better, instead of whether it made one task faster. If your AI saves someone three hours and quietly creates two hours of checking and cleanup for somebody else down the line, you didn't gain three hours. You gained one, and you probably don't even know where the other two went."
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⚡ AI GROWTH HACK OF THE WEEK
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Redesign One Sales Role Around AI
The Strategy:
Pick one person carrying sales or business development and rebuild their week so AI absorbs more of the prep work, freeing them to spend more of their actual time building relationships instead of prepping for them.
1. Map the whole sales cycle. Write down everything that happens around a sales conversation, including everything before and after it: prospect research, account prep, meeting notes, follow-ups, CRM updates, competitor research, proposal work, reminders.
2. Sort it by who should own it. Run that list through the prompt below. Some tasks AI can run entirely on its own. Others need AI's help while a person still finishes the work. Everything else stays fully in human hands.
3. Automate exactly one task. Pick a single AI-ready task from the results and put it to work this week instead of trying to overhaul the whole process at once.
4. Measure the hours it actually freed. Track how much additional time your salesperson spent talking to qualified prospects instead of prepping, not how much AI activity happened.
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The AI Prompt to Steal
"Act as a sales operations consultant reviewing our sales process. Here are the recurring tasks involved: [PASTE TASKS]. Group them by who should own each one. Some tasks AI can run without a person at all. Some need AI assisting while a person finishes the work. The rest should stay fully human, since that's where the real value comes from. Then redesign our workflow so our salesperson spends as much time as possible talking to qualified prospects, moving conversations forward, deepening trust, and closing more deals. For every task you assign to AI, spell out exactly what it should produce and what a person needs to check before it goes out."
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Why This Works:
Automation only pays off once you know what capacity you're actually creating. The data behind the Inc. 5000's fastest-growing companies backs that up: growing businesses tend to use both AI and people deliberately, finding the split that lets each one do what it's actually good at instead of treating automation as a replacement for either.
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Wrapping Up
This week's three tools fit that same idea from different angles. Omni takes an AI agent out of a one-off chat window and turns it into something that keeps running on its own schedule. Samepage Signals pulls the information your team needs out of the tools you already use instead of making someone go hunt for it. Astute automates the legwork behind creator partnerships while keeping the actual relationship at the center of the strategy.
The case study is the part worth sitting with longer, though. Saving time isn't the same thing as improving a business. If those 11 saved hours turn into 6.4 hours of botsitting somewhere else in the workflow, the bottleneck didn't disappear. It relocated.
Start looking past the task that got automated and follow the work all the way to wherever it actually finishes. Did the whole thing get done faster? Was the output better? Did fewer people have to touch it? Did the result actually land better with whoever received it? That's where you find out whether AI actually created value or moved it somewhere less visible.
The businesses that come out ahead here will be the ones who can point to the exact place in their workflow where AI made the whole thing run better, start to finish.
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Keep profiting,
Scott Hall
AI Profit Letter
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