Mirror your expertise.
Your best people’s wisdom and judgment, scaled.
Where to start
Pick the door that fits where you are.
Where does AI fit your operation?
A few questions about your systems and how the work actually runs, and you get a readiness read you can act on. No deck, no call to unlock it.
Start the assessmentNew to agents?
What an agent actually is, not the marketing version, shown through three demos you can run right in the browser.
Read Agents 101Rather talk it through?
Bring a real problem your team owns, and we will spend thirty minutes working it through together. No demo deck.
The reality
The person who knows why the estimate is right eventually retires, and the reasoning walks out with them.
AI automated the sales email and the meeting summary. It never touched the estimate, the quality call, or the plant floor.
The people closest to the work run it out of spreadsheets and memory, not software anyone built for them.
How it works
Listen.
We assess the real operation: the problem your best people own, the tools they live in, and where their judgment quietly does the work.
Mirror.
We build the scaffolding with you, the dimensions and workflows that capture how your experts actually think and decide. It lives in your stack.
Execute.
That scaffolding goes to work: it builds the apps, runs the workflows, and turns into value you can measure, while you move on to the next problem.
In practice
Generated apps on the left, native agents on the right, one workspace.
Dimensions
Model the way you decide.
Capture how your best people frame a problem — what they look at, what they ignore, what trips an exception. The agent inherits the same lens.
Canvas
One surface where the work happens.
Pull in data, drop in context, draft with the agent. No swivel-chair between dashboards, docs, and spreadsheets.
Workflows
Codify the patterns you find.
When you notice you’re answering the same question twice, hand it off. The agent runs it the way you would, on the inputs you’d check.
Activity
Full audit trail of every action.
See what the agent did, what it pulled, and why. Every decision is reviewable. Nothing happens behind a black box.
Proof in practice
An engineer at a PE-backed aerospace manufacturer. On-prem ERP, network drive, Outlook, Excel. No BI team to ask.
After a couple weeks with myai, his team now has a purchase summary view, agent integration, and email integration for PO management. All without changing from their legacy ERP, handful of Excel files on network drive, and complex process. No migration.
What happened next mattered more. They kept their setup. PO insights came back over email. Answers pulled in Excel. The work stayed where it always was.
8 hrs -> 15 min
Monthly operating review prep
~20 hrs / week
Estimating work automated
1-2 weeks -> real-time
Delivery reporting lag
Design partner pilot
3-month engagement. One real problem. A working agent at the end.
We don’t do pilots that go nowhere. You bring the problem and the people. We build the mirror with you, in your stack, on your data.
See what’s includedWho built this
Mark Freedman came up through operations at Danaher and Gilbarco Veeder Root, then growth and ecosystem at Tulip.
William VanBuskirk came from engineering at GE Aerospace and strategy consulting at PwC, then product, alliances, and ecosystem at Tulip.
They met in the middle. Same conviction: go to where the expertise lives. Amplify it.
Bring your hardest workflow.
We’ll work it through with you.
Every conversation starts with your problem, not our pitch. Book 30 minutes and we’ll explore whether myai fits.