Virtrify · Operator interview
Alex Miranda, in their own words.
An existing staffing business, repositioned. Alex describes adding consulting and implementation revenue streams.
Published · Virtrify · Miami, FL
The business behind the story
- Business
- Virtrify · Remote staffing for K-12 charter networks
- Starting point
- An existing virtual staffing business serving K–12 charter networks.
- What changed
- Repositioned the business and added consulting and implementation services.
How to read the resultPublished figures: $1.8M current revenue and $3M+ lifetime cash collected. The testimonial does not specify the reporting period for current revenue.
Interview summary
An existing virtual staffing business serving K–12 charter networks. Repositioned the business and added consulting and implementation services. Published figures: $1.8M current revenue and $3M+ lifetime cash collected. The testimonial does not specify the reporting period for current revenue.
Editorial summary of the published testimonial and accompanying figures.
“We’ve used what they’ve taught us to actually reposition our entire business into a new category, opening up consulting and implementation revenue streams that simply didn’t exist before.”
Alex Miranda, Virtrify
What this interview establishes
Alex describes an existing business with a single revenue stream. Around 0:21 he discusses repositioning it and adding consulting and implementation services. Around 0:40 he describes learning from how AI Scaling operates. He does not state a revenue amount in this recording.
Revenue figures accompanying this story come from the published case-study material, not the spoken interview. Underlying financial records and exact reporting dates are not provided here. The recording supports the described experience, not independent verification of those figures.
Source: the recording above. Transcript reviewed September 9, 2026. Individual testimony does not establish typical results or isolate the effect of any one business change.
Read the interview transcript
Transcribed from this published cut. Punctuation and name spelling have been normalized; [unclear] marks wording that could not be resolved. Download English captions (VTT).
0:00Before AI Scaling, I was at an inflection point.
0:03I had this AI vision of where my business needed to go, but no clear path to monetize it.
0:08We were leaving money on the table with a single revenue stream, and I knew we needed to evolve.
0:13I just didn't know which direction to go in.
0:16Working with Daniel and the AI Scaling Framework gave me that direction.
0:21We've used what they've taught us to actually reposition our entire business into a new category.
0:26And for the first time, we're opening up consulting and implementation revenue streams that simply didn't exist before for us.
0:34That's an entirely new line of business that came directly out of working with this framework.
0:40What I didn't expect was how much I'd learn just from watching how Daniel operates AI Scaling itself.
0:47The way they built AI into their own company is impressive.
0:51And it's this consulting source of ideas of how we can apply the same thinking into our existing operation.
0:58That kind of indirect value is rare.
1:01And the pace of execution, it's been faster than I expected.
1:04And the strategic clarity alone has already changed the trajectory of my business.
1:11Absolutely recommend AI Scaling.
What should you take from this example?
Start with the business conditions: An existing virtual staffing business serving K–12 charter networks. Compare that starting point with your own customer access, experience and ability to operate the service. Then examine the change described here: Repositioned the business and added consulting and implementation services.
These are self-reported individual outcomes, not independently audited results or a forecast. Revenue, cash collected and annual run rate measure different things. The reporting basis above is part of the story.
Use the AI agent pilot scorecard to define evidence for your own workflow, and compare building, software licensing and a supported system before choosing an operating model.