Sam Arami
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Results

Sam Arami Reviews and Client Results

Histories, not testimonials. Who they were, the move they made, and what happened. Every one is real and attributable. If you are doing due diligence on me, ask for a reference and I will connect you with the client directly.

People who learned the model

What happened when they ran it.

Operators and professionals who came through AI Venture Launch, in their own numbers.

Ishwar Singh Sunsoay
UK home services
$43K + 10% revenue share, in his first week

A UK operator who arrived with real technical skill and no positioning. He chose home-services franchises, built an AI agent that answers, qualifies and books inbound leads, and structured his first deal as a partnership instead of a flat fee: $43K plus 10% of revenue, closed in his first week working with me. The same client later took a $19.1K upsell with a 4% revenue share attached. What it taught: the deal structure is the product.

Sudarshan Maan
Legal, New York
$18K upsell

Built an intake and quoting system for a traffic-ticket law practice in New York. It handles dozens of quotes a day and roughly doubled the practice's capacity. The client came back for an $18K upsell, and the build became the case study he now opens with when he talks to other lawyers. What it taught: one deep build in one niche is worth more than ten shallow ones.

Anton Rose
Legal
$27K

A LinkedIn playbook written for lawyers took off, which put him in rooms with law firms. He ran discovery in person, quantified what the firm was losing, presented a report that tied the pain to revenue, and built a working proof of concept himself before asking for the money. Result: a $27K case-management platform. What it taught: paid discovery and a working proof of concept beat a pitch deck.

Maverick Ramsaran
Real estate and healthcare
$18.5K in six weeks

Started from zero while still at his day job. First a $6K build for a real estate business, then a $12.5K healthcare voice agent. $18.5K in six weeks. What it taught: clarity about who you serve turns theory into revenue faster than any tool does.

Marc Castro
Software
$1.1M ARR

Grew his company to $1.1M in annual recurring revenue, with a $95K month along the way, after repositioning the offer around outcomes and pricing to match. What it taught: the mechanism is not the outcome. Buyers pay for what changes for them.

Jerry Okogie
Funeral homes
$20K MRR

Picked one unglamorous niche, funeral homes, and took the advice on positioning and pricing. Two deals in, he was at $20K in monthly recurring revenue with a $30K follow-on in the pipeline, wondering out loud whether he would have to quit his job sooner than planned. What it taught: boring verticals pay.

Ahmed
Healthcare
$50K a month

One hospital client, one custom build, then a software layer on top that the hospital pays for every month. Fifty thousand dollars a month from a single relationship. What it taught: enterprise pays for infrastructure, and the software layer compounds.

Marinko
Med spa software
2,000-person waitlist in 72 hours

A construction worker with no engineering background. He built SkinScanner.ai in a day on Lovable, positioned it for med spas, and had 2,000 people on a waitlist three days later. What it taught: speed and positioning beat credentials.

More, in brief

What NextCallAgent built

The studio's own work.

NextCallAgent builds for mid-market companies in healthcare, financial services, insurance, home services and hospitality. By our own count, the systems we run produced $9.6M in client revenue over the last year.

The pharmaceutical client
Where the model came from
Three lessons

The deal that changed how I work. Instead of charging a flat fee I partnered with the client, and it taught me three things. Partnering beats billing. The client's network is the real asset, because one relationship in a vertical opens dozens of similar businesses. And the first custom build becomes a product the rest of the industry can license. NextCallAgent is those three lessons turned into a company.

A home-care lead network, U.S. Midwest
Intake rebuilt end to end
Pay per qualified lead

A network that sells qualified patient leads to home-care agencies. We rebuilt the intake: paid search, an AI voice agent that qualifies every caller, live transfer to the partner agency, and a portal where agencies see, dispute and pay for each lead. Pricing moved to pay-per-qualified-lead, set against what a patient is worth to an agency over years rather than what a click costs. The whole stack moved off an all-in-one CRM onto software we control.

The receipts

In their own words.

Posted by the clients themselves, as the wins came in.

Client result: Ishwar Singh Sunsoay closed a $19.1K upsell plus 4% revenue share with his current client Client result: Anton Rose closed a $27K deal to build a case management platform for a law firm Client result: Marc Castro grew to $1.1M ARR and did $95K in a month Client result: Jerry Okogie closed two deals and reached $20K monthly recurring revenue in one niche Client result: Sudarshan Maan closed an $18K upsell with his current client Client result: Ramzi Dalloul closed a $17.3K consulting engagement with a private-equity-backed real estate developer Client result: JT Collura closed his first deal, $5.5K plus $500 a month, for a beauty school CRM Client result: Maverick Ramsaran closed a $4K deal to build an LMS portal for a real estate site

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