About the Founder
Samer
Founder & Principal Consultant
From Fortune 500 systems to small business outcomes.
Samer spent more than a decade inside the analytics and AI teams that power some of the largest retail and consumer technology operations in North America — the kind of programs where a single percentage point of forecasting accuracy means tens of millions of dollars, and where sales models, supply chain optimization, and customer segmentation aren't experiments, they're how the business runs every day.
The technology behind those systems isn't actually out of reach for a smart small business. What's been out of reach is the team around it — the data engineers, scientists, project managers, BI developers, and product owners required to turn enterprise AI into business outcomes. That overhead, not the math, is the real reason small businesses have been locked out.
The frustrating part is that most small business owners don't even try, because they've been told this kind of work isn't for them. It is. The only thing standing in their way is the team — and that's the part AI Smart Insights takes off the table.
Three things have to come together for AI to actually move the needle in a small business, and Samer brings all three under one roof:
Analytics & forecasting that drive better decisions. The same playbook he used to deliver revenue lift through customer segmentation, cost reduction through supply chain optimization, and double-digit gains in forecasting accuracy for Fortune 500 operations — applied to small business data, at small business scale.
AI tools that let small teams do the work of much larger ones. Customer service that runs 24/7 without a service desk, repetitive analysis that runs itself, productized AI like ChatterPi that an owner can deploy in minutes for $49 a month. The same shift that's letting a handful of practitioners outperform yesterday's hundred-person teams — built specifically for businesses that don't have a hundred people to spare.
The training and enablement to make all of it stick. Every engagement includes the training, documentation, and hand-holding the team needs to actually use what's been built. Because a dashboard nobody knows how to read is worse than no dashboard, and a model nobody trusts gets shelved.
That combination — analytics that inform, automation that scales, and training that transfers the capability to your team — is what makes the work durable instead of one-off.
“The math is the same. The business outcomes are the same. The pricing shouldn't be a hundred times higher just because the customer is smaller.”
AI Smart Insights is based in Texas and built to serve small businesses nationwide.
Why we exist
Small businesses are the engine of the American economy. They've created nearly two-thirds of all new US jobs over the past 25 years, employ roughly half the private sector workforce, and account for more than $400 billion in annual exports. Yet most are still locked out of the AI tools their larger competitors take for granted. That's the gap we exist to close.
~63%
of new US jobs created by small businesses over the past 25 years
~50%
of the private sector workforce employed by small businesses
$400B+
in annual exports attributable to small businesses
How We Work
Three commitments. Every engagement.
01
Built for small business economics.
Enterprise pricing is what kept AI out of small business in the first place. Every engagement is scoped to deliver value within a small business budget — and our productized tools, like ChatterPi, start at prices a single owner can approve without a board meeting.
02
Responsible AI by default.
Your data stays yours. The models we deploy answer only from sources you've approved. Outputs are explainable to the people making the decisions. We won't ship AI that hallucinates, leaks, or operates as a black box — that's not a feature, it's the baseline.
03
Training is part of the delivery.
A dashboard nobody knows how to read is worse than no dashboard. Every engagement includes the training and documentation your team needs to actually use what we build, long after we've handed it over.