You tried to get AI to do real work, and you can't rely on what comes back.
That usually happens when an automation is built before anyone has understood the work and the system around it. We learn how your business actually works, then build AI into it and keep it running.
Your plan is free and starts from your own tasks.
If you have to fix what AI does, you are still doing the work.
The results change from run to run
Give it the same job twice and you can get two different answers, which makes it hard to know which results to trust.
Getting it close takes weeks
You go back and forth in one long session until it works, and when that session ends, most of what it learned goes with it.
You find the problems late
The only check on the work is the AI itself, so a mistake shows up after the work has gone out.
AI inherits the way your team already works
Before you pick tools, find out what it's inheriting. An automation built on work that was never written down has nothing steady to follow. We learn how your work runs before we build anything.
- First, we understand
We learn how your work moves
Execution Intelligence, or XI, reads how work moves through your people and how your systems support it. It starts with your AI Execution Plan. You add the tasks that fill your week, and the plan ranks where AI goes first. The plan and the strategy call that follows are both free.
- Then we build and run
We build AI into it and keep it running
The Systems Intelligence platform holds how each part of your business is meant to work, including its goal, rules, procedures and measures. We build your automations inside that record, test them with you and keep them running, so routine work such as invoices, drafts, requests and follow-ups starts to run as one connected system.
We call the two moves together Transformation Intelligence.
You can rely on an automation when rules, limits and checks come built in
The same five come with every automation we build, and we make sure they hold.
- Rules for what goes in and what comes out
- A spending limit, checked before anything that costs money
- A quality check that sends weak work back
- A named person who approves before anything goes out
- A record of every run
Brightwater Paper Co. Today
Example dataWaiting on Dana 6
Open the listMarch invoices for 14 accounts
Invoice batch · Finance · due Friday
Waiting for approval
Dana approves
Follow-up to Kessler Dental on the copier quote
Email draft · Sales · today
Waiting for approval
Dana approves
Supplier contract renewal, changes marked
Contract · Operations · yesterday
Waiting for approval
Dana approves
Spring catalog email, second draft
Campaign · Marketing · yesterday
Waiting for approval
Dana approves
Welcome packet for two new hires
Document · People · 2 days ago
Waiting for approval
Dana approves
Reply to a late-delivery complaint
Email draft · Customer · 2 days ago
Waiting for approval
Dana approves
Your plan shows where AI goes first, who owns it and who approves it
You build the AI Execution Plan from your own work by adding the tasks that fill your week and answering three questions about your tools. Every task comes back ranked, with a first move, an owner and the approval it needs. The plan is free, and it is yours to keep whatever you decide next.
Weekly team meeting
- First move
- Before the meeting, ask AI to draft the agenda and the questions worth asking. Afterward, paste your rough notes and ask for a clean recap with action items.
- Owner
- The person who runs the meeting owns this process and confirms every agenda and recap AI helps write.
- Approval
- The owner or leader approves it in writing before first use: which tool, what may be recorded, and who owns the process.

I built this to run my own company
I have spent 25 years finding what is broken and fixing it. As a military officer I did it where the answer had to be right. In the Big 4 I tested the controls over clients' day-to-day work, then designed the fixes. Within a day or two I could tell how well the work ran against the documented process. In the Fortune 500 I audited from the inside and led transformation across the business. Then I ran the work myself and hired consultants to do it. Now, in my own firm, I fix work that has been handed to AI, for myself and for others.
Running Unleash Epic on my own was doable, and it limited what the company could take on. The AI tools could do a lot of the work, but I could not find the layer that connects them to the real work of a business so that an automation runs the same way every time. I ended up building that layer myself.
Today much of the routine work here, such as invoices, drafts, contracts, requests and marketing campaigns, runs automated and connected, which leaves more of my time for strategy and for the people I work with.
- 25
- Years in operations
- $30M+
- In savings from work I assessed, designed and ran
- 80+
- Locations transformed
John Vyhlidal
Founder, Unleash Epic
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