The Workaround Economy (And Why Another AI Tool Won't Fix It)
September 22, 2026 · Brooke Elder · 11 min read
The Workaround Economy (And Why Another AI Tool Won't Fix It)
You're living in the workaround economy when everything has to go through you. The answers live in your head. Your team will not decide without you. AI adds more options and more review work. Another tool will not fix that. The Anti-Workaround Roadmap is how you exit: Strategy First. AI Second. Teach the system first. Give people (and AI) clear lanes so work stops bouncing back to you.
Here's what we'll cover:
- What the workaround economy is (and why Superhuman's diagnosis fits owners, not just employees)
- Why AI in a messy business makes more work, not less
- The Anti-Workaround Roadmap: six steps to stop being the bottleneck
- How Crew Academy and crew lanes replace copy-paste and memory
- What "out" looks like when the next person already has what they need
It's Wednesday at 3pm. You open three tabs to finish one client update. The notes live in Slack. The brief is in Google Drive. The last version is in email. The "final" draft is in ChatGPT, where you forgot to paste yesterday's feedback.
You stitch it together. You rewrite the tone. You ping your VA for the missing detail. Then you paste the finished thing into the place it should have started.
Here's the thing: you did not have a writing problem. Everything has to go through you.
What is the workaround economy?
The workaround economy is what happens when tools do not fit how work actually moves, so people become the glue. You re-create context. You bridge apps. You pick unofficial tools just to keep going.
Superhuman's Harris Poll study named it for the workplace. Seventy-five percent of workers operate outside fully approved tool stacks. The biggest drops are between tasks: coordinating (32%), switching tasks (32%), gathering information (26%), tracking progress (25%). In high-load environments, 91% say AI adds more options than clarity, 88% say AI is designed around features not how they work, and 83% say AI creates extra work to review or fix. Sixty-five percent seek unofficial AI tools.
Steal the diagnosis. Do not buy their product story as your fix.
Superhuman's answer (for enterprise leaders) is a more connected AI productivity platform for employees. Ours is different, because you are not buying tools for a workforce. You are the bottleneck on Tuesday. Strategy First. AI Second. Crew Academy plus clear lanes so you stop being the workaround.
You are the founder whose phone still catches every sticky handoff.
Why AI makes a messy business feel worse (not smarter)
If the work is messy, AI makes the mess faster. It adds options, then asks you to review and fix what broke between steps.
That matches what owners tell me after they "finally get serious about AI." They add a writing tool, a meeting summarizer, a second chatbot for research. Output goes up. Calm does not.
I did this to myself. I built a blog agent that published on schedule and followed the brief. It worked. It moved almost nothing that mattered. That is Pillar 1 in real life: You Automated the Wrong Thing. AI is an accelerant, not a diagnostician. Point it at fuzzy ownership and you get faster fuzzy ownership, plus a bigger review pile.
The breakdown is rarely inside the focused hour. It is between tasks. Handoffs. Updates. "Where is the latest?" Deciding how to do the work starts taking as much energy as doing it.
That is the last mile for seven-figure service businesses. Not more features. Less need for you to carry answers that should already live where the team can use them.
The mistake: buying another app when you need an exit
A new app does not fix unclear ownership. It moves the mess.
Owners reach for the next tool because the diagnosis feels technical. The real pattern is simpler, and I have lived every version of it.
You hire help, profit drops, you take the work back. You automate, and every exception still hits your inbox. You try AI, and it makes more work because you automated before you cleaned up the steps. A new app will not fix who owns the work.
Draw how the business runs before you add AI. Teach the system first. Buy tools second. The prompt was never the product.
Introducing The Anti-Workaround Roadmap
The Anti-Workaround Roadmap is a six-step exit from being the person everything has to go through: name where you are the bottleneck, map where work stalls when it moves, teach the system (Crew Academy), assign crew lanes, put AI on the doing while you keep judgment, then measure whether the next person already has what they need.
This is Strategy First. AI Second. as a sequence. Frameworks first. Then aim. Then AI.
Step 1: Name where everything has to go through you
Say it in one sentence a friend would understand: "I am the person who remembers what should have been written down."
Write three places from this week where you re-created answers that should have been ready for someone else. Client notes. Offer rules. Preference calls you make without thinking. If you cannot name them, you will keep buying tools for a problem you have not located.
Example: an owner I worked with kept adding AI writing tools because content felt behind. The real bottleneck was not "drafting." It was her being the only person who knew what good sounded like, which examples to steal from, and which claims she would never make. Until that lived somewhere besides her head, every tool just asked her to review again.
Step 2: Map where work stalls when it moves
List where work stalls when it leaves one place and enters another: from sales to delivery, from delivery to invoice, from meeting to next action, from "draft ready" to "actually sent."
Ignore the cool automation idea for a minute. Look for bounce-back. You hand it off, then it returns to you. Questions pile on the person with the most context. Asking you is easier than figuring it out.
If fixing one sticky handoff would free decision time, protect margin, or stop a weekly re-explain, it belongs on the shortlist. If the project mostly makes you feel modern, park it.
Step 3: Teach the system first (Crew Academy and what good looks like)
This is the step owners skip because it feels slow. It is also the exit.
You already know how to do this with people. Every good hire you ever made needed your avatar, your standards, and examples of finished work before they produced anything worth keeping. AI needs the same thing. In Simplified OS language, that teaching layer lives in Crew Academy. Without it, agents go flat. With it, they stay specific to how your business works.
What does a good client update sound like? What makes a proposal ready to send? What do you never say in sales? Put those answers where people and AI can use them before anyone asks for "just write something."
Write the steps so using the steps is faster than pinging you. Skip this and you will keep editing forever. That is not an AI problem. That is a missing standard problem.
Step 4: Assign crew lanes so one chat stops doing everything
Give each lane a spine: Context → Skills → Connectors → Routines (or the Bridge teaching order: Context → Crew Academy → Skills Vault → Execute). One role. One standard. One place truth lives.
Stop asking a single blank chat to be strategist, writer, researcher, and project manager. That is how you recreate the bottleneck inside the AI tab.
A practical picture: your content lane knows voice and CTAs. Your delivery lane knows client update rules. Your ops lane knows where the system of record is. Handoffs become lane-to-lane, not "ping the owner and wait."
Most jobs need a simple checklist with one AI step, not a fancy "AI employee."
Step 5: Put AI on the doing. Keep the owner as the brain.
You stay direction, judgment, and taste. AI drafts, gathers, formats, reminds, and runs repeatable first passes.
When owners try to make AI the brain, quality slips and trust erodes. When owners stay buried in the doing, capacity never expands. Split the roles on purpose.
You decide the weekly priority and the quality bar. AI builds the first version from school, not from vibes. You edit for truth and voice. Then AI handles packaging and follow-through. Hands move. Brain stays yours.
Step 6: Measure the exit, not AI activity
Count signals that prove you left the workaround economy: owner hours returned on re-creating context, fewer bounce-backs after handoff, shorter review cycles, clearer "where does this live," and whether a teammate (or AI crew member) can finish without asking you the same preference twice.
Do not congratulate yourself for number of agents built or prompts saved. If a workflow runs and you are still the glue, you automated the wrong layer.
After the blog-agent miss, my question got sharper: did this change speed, quality, owner load, or clarity of ownership? If the honest answer is no, fix the target. Do not add another tool on top of a miss.
What "out" looks like when you stop being the workaround
Success is quieter than a dashboard full of unused agents.
Your week opens with priorities already shaped by standards. Updates leave without a scavenger hunt across four apps. Content sounds like you because the teaching layer existed before the publish button. Your team (human and AI) knows what good looks like without pinging you for every preference. You are still the decision-maker. Your team will not decide without you on the big calls. They also will not freeze on the small ones, because asking you is no longer the only path.
That is the opposite of buying one more connected suite for employees. That is giving the business a crew with school, so you stop being the glue. Wonder at what is possible. Calm when it finally sticks.
Common traps that keep you in the workaround economy
Trap 1: Collecting unofficial AI tools because the official ones feel clunky. Shadow stacks feel faster for a week. Then you become the person who remembers which tool held which truth.
Trap 2: Automating the easy middle while the sticky handoffs stay owner-only. Easy work is rarely the bottleneck. Messy handoffs are.
Trap 3: Skipping the teaching layer. Onboard AI like a new hire, or you get generic confidence that sounds helpful and changes nothing.
Trap 4: Measuring vibes. "It feels like we are using AI" is not an exit metric. The next person already having what they need is.
Trap 5: Treating the competitor diagnosis as a shopping list. Superhuman named a real problem. Your exit is still Strategy First. AI Second., not another feature tour.
Frequently Asked Questions
What is the workaround economy?
It is the pattern where tools do not fit how work moves, so people become the glue: re-creating context, bridging systems, and assembling unofficial stacks. Superhuman and The Harris Poll documented it in the workplace. For business owners, it shows up as everything having to go through you.
Why doesn't another AI tool fix the workaround economy?
Because if the work is messy, AI makes the mess faster. In a high-friction stack, more AI often means more options and more review work. The exit is standards, decision rights, and teaching the system first, not a longer app list.
What is The Anti-Workaround Roadmap?
It is a six-step exit plan: name where everything has to go through you, map where work stalls when it moves, teach the system with Crew Academy, assign crew lanes, keep the owner as the brain while AI does the doing, then measure whether the next person already has what they need.
How is Crew Academy different from a prompt library?
A prompt library is a binder of unfinished intentions. Crew Academy is school: frameworks, voice, examples of finished work, and judgment calls, so humans and AI share what good looks like before they execute.
Should I still use AI while I build this?
Yes, on narrow doing work that already has a standard. Do not point AI at fuzzy ownership first. Strategy First. AI Second. means diagnosis and teaching before acceleration. Draw how the business runs before you add AI.
How do I know I exited the workaround economy?
Work stops bouncing back as often. Teammates and AI crew members finish without asking you the same preference twice. You spend less time reconstructing context that should have been ready. You still decide. You stop being the default bridge.
Ready to practice the exit with other owners?
Reading the roadmap is step one. Sitting with other service-business owners who are teaching the system first is where it sticks.
Ops Yacht Club is the free community for owners learning to run AI-powered businesses without the fluff. Come for the practical conversations about sticky handoffs, crew lanes, and Strategy First. AI Second. while you stop being the glue.
Brooke Elder, Co-Founder, True North Strategies
Brooke has built seven businesses and exited two. She cut her own team from 27 to 6, kept the revenue, and got the profit back. Then she crossed the Atlantic on a sailboat with her family while the business kept running. She teaches the operations layer: frameworks, systems, and the AI Crew.