| Thursday · June 11, 2026 · Issue #035 Here's a number that should stop you for a second. 88% of companies are now using AI in at least one business function. That's up from 55% just two years ago — one of the fastest technology adoption curves ever recorded. And yet, according to McKinsey, 95% of those same companies have seen zero measurable return on investment. Not low return. Zero. Almost everyone is using it. Almost nobody is winning with it. So what's different about the ones who are? | | ⬡ The Stat Behind This Issue Only 27% of businesses using AI describe themselves as confident and in control of their strategy. The other 73%? Stressed, overwhelmed, or still waiting to figure it out. This isn't a capability gap. It's a decision gap. The research from Deloitte, PwC, McKinsey, and Writer is consistent: what separates the businesses winning with AI from the ones drowning in the conversation about it comes down to five decisions. Not five tools. Not five budgets. Five decisions — most of which cost nothing to make. | | | ⬡ The 5 Decisions · Thursday Tip Stack | | | 1 | They decided to own one problem completely before touching the next one. | The businesses failing with AI are trying to improve everything simultaneously. The businesses winning chose one problem — a specific, measurable, painful bottleneck — and didn't move on until that one was solved and the results were documented. The sequencing is everything. One win builds the confidence and the evidence to tackle the next one. A dozen half-finished experiments build nothing except a larger bill and a more skeptical team. | 🚀 | Tool that helps · Apollo.io If your one problem is lead follow-up or new business development, Apollo is the cleanest way to automate that single workflow — contact database, sequencing, and lead scoring in one place — so you can own that bottleneck completely before expanding the stack. Free tier → thepromptory.com/go/apollo | | | | | 2 | They defined what success looked like before buying anything. | This sounds obvious. Almost nobody does it. The 27% who are winning share one habit that the other 73% skip entirely: they wrote down the metric — the specific, numerical outcome — that would tell them whether an AI investment was working before they launched it. Not "more efficient." Not "saves time." A number. Response time under 4 hours. Client onboarding from 6 hours to 90 minutes. Follow-up rate from 40% to 95%. Without that anchor, you can't know if the tool is working. And without knowing, you can't improve it — or justify it to anyone on your team. | ⏱️ | Tool that helps · Toggl Track You can't measure what you don't track. Toggl gives you the before picture — where hours actually go across tasks, clients, and workflows — so when you implement AI, you have a real baseline to measure against. The ROI case pays for itself. Free tier → thepromptory.com/tools/toggl | | | | | 3 | They invested in people and process before they invested in tools. | Most companies put 70% of their AI budget into technology and 30% into the people who have to use it. The companies getting real results flip that equation — and the data shows employees at those companies use AI three times more often. The tool isn't the hard part. Getting a team to change how they work is the hard part. The businesses winning didn't hand people a new tool and wish them luck. They explained what problem was being solved, why the tool was chosen, what the expected outcome was, and what success looked like for each person's role specifically. That's not a training program. That's a conversation. It takes an afternoon, not a quarter. | ✨ | Tool that helps · Gamma When you need to get your team aligned on a new AI workflow, Gamma turns a structured brief into a clean presentation in minutes — so "here's why we're doing this and here's how it works" is a polished deck instead of a rambling Zoom. Free → thepromptory.com/go/gamma | | | | | 4 | They protected the human time that AI freed up — instead of filling it immediately with more work. | This is the decision most businesses get wrong in the second act. The AI saves 5 hours a week per person. And within two weeks, those 5 hours are filled with new tasks, new meetings, new requests — and the team is right back where they started, just with one more tool to manage. The businesses winning with AI made a deliberate choice: when the automation freed time, they protected it. They assigned it to higher-value work specifically. Strategy over administration. Client relationship building over inbox management. Creative output over formatting. The productivity gain only compounds if it's protected. | 📅 | Tool that helps · Reclaim AI Reclaim is the tool that holds the line. When AI recovers time in your week, Reclaim blocks it on your calendar for high-value work before meetings can consume it. It's the difference between AI freeing 5 hours and those 5 hours actually existing. Free tier → thepromptory.com/go/reclaim | | | | | 5 | They asked for a strategy — not a recommendation — before picking a tool. | PwC's 2026 research is direct: the companies that crowdsource AI tool decisions — where anyone can propose a new subscription and it gets adopted — end up with impressive adoption numbers and almost no business impact. The businesses winning made someone accountable for the strategy. Not just for approving tools — for defining which problems to solve, in what order, with what measurement criteria. The strategy comes before the tool list. Every time. Without exception. For enterprise companies, that means a designated owner. For small businesses, it means a single conversation that answers: what is our biggest bottleneck, what does success look like, and what should we not touch yet? That conversation is the strategy. Most businesses skip it entirely and go straight to the demo. | 🤖 | Tool that helps · Jordan at The Promptory This is exactly what Jordan does. Not a tool recommendation — a strategy conversation. Jordan asks the questions that surface the real bottleneck, establishes the 30-day success metric, and only then points to specific tools from the vetted vault. That's the conversation that separates the 27% from the 73%. Free, 10 minutes → thepromptory.com | | | | | ⬡ Jordan · AI Solutions Director · thepromptory.com Free · No account required · No sales call after | | T | We've been using AI for about six months and I honestly couldn't tell you if it's working. We have five subscriptions, nobody hates them, but nobody seems to be noticeably more productive either. I don't know if we're doing something wrong or if we just have the wrong tools. | | J | The tools are probably fine. What I'm hearing is that you never defined what "working" meant before you started — so you have no way to know whether it is or isn't. That's the most common place this breaks down. Let me ask you something: before any of those five tools, what was the single most expensive problem in your business — in time, money, or both? Jordan · thepromptory.com → | | | Not sure if your AI is working? Jordan will give you an honest answer → thepromptory.com | | | | ⬡ Which Group Are You In? · A Quick Honest Check Score yourself on the five decisions above. Not where you want to be — where you actually are right now. ① Can you name the one problem your AI investment is currently solving? ② Do you have a specific number that tells you whether it's working? ③ Does your team know why the tool was chosen and what success looks like for their role? ④ Is the time your AI freed up actually protected — or did it quietly disappear into more meetings? ⑤ Did someone define the strategy before anyone picked a tool? Five yeses: you're in the 27%. Three or fewer: you have the same problem as most businesses — and it's fixable, starting with the one you can't answer. | | | 💡 The One Thing The gap between the 27% and the 73% is not capability. It's not budget. It's not access to better tools. It's the discipline to decide before they deploy. The defining advantage in 2026 is not access to AI — every business has that now. It's the ability to deploy it with intent. That means a defined problem, a measured outcome, a team that understands why, time that's actually protected, and a strategy that preceded the shopping cart. None of those decisions cost money. Every one of them requires a conversation. That conversation is what Jordan's built for. | | | 📬 Tomorrow — Week 9 Finale Friday Vault Drop: The AI Governance Stack. Data privacy is the #1 concern for 70% of small businesses using AI. And with enterprise governance standards formalizing fast, the businesses that get ahead of it now won't be scrambling to retrofit it later. Five tools. Built for the business that wants to move fast without creating a liability. Want to know which group you're really in? Jordan will be straight with you → thepromptory.com | |
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