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From building custom software for $100 to launching companies in 60 days, small and mid-sized businesses are using artificial intelligence to expand, even with lean teams.
For years, advanced technology was viewed as a competitive advantage reserved for large enterprises with deep budgets and expansive teams. That dynamic is rapidly changing now. Across industries, small and mid-sized businesses (SMBs) are using artificial intelligence not simply to improve efficiency, but to fundamentally expand their achievements with limited resources.
Business leaders often describe AI as a force multiplier, empowering small teams to perform tasks that once required entire departments, expensive consultants, or lengthy development cycles. From software development and legal support to strategy, marketing, and operations, AI is helping SMBs compete at a scale that seemed out of reach just a few years ago.
AI as a Force Multiplier
Few have witnessed this transformation more closely than Avitesh Kesharwani, Fintech and Insurance Expert at Genpact. He points to examples where AI has dramatically reduced costs while increasing operational capabilities.
“AI is kind of becoming like a force multiplier, you know, for small businesses. That’s what cloud computing was a decade ago. It allows a smaller team to operate with capabilities that once required much larger organizations,” Kesharwani said.
Among the examples he cites is a laundry company that replaced a consultant-built customer relationship management system costing $30,000 with a custom AI-powered solution developed in a week for approximately $100.
Kesharwani has also seen immigration firms transform legal workflows.
“They really saved 90% of those fees now, by drafting everything in a petition and just sending it over to review. And by that, they’re not only able to maximize their margins, but also provide services to clients at cheaper prices, just because they can use AI now,” he explained.
The shift extends beyond content generation and automation.
“It’s just not like content generation, but like an operational teammate — you would have hired a content creator or social media influencer to do that. But now these AI can really work as a teammate for you to do that,” Kesharwani added.
Compressing Years of Work into Weeks
For entrepreneurs, AI is also changing how they build a business from the ground up. Kristin Ginn, Founder of trnsfrmAItn, credits AI tools such as Copilot and ChatGPT with helping accelerate the launch of her consulting firm.
“Honestly, I think across everything, it would have taken me probably a year to get to where I am now, and I essentially did it in 60 days,” Ginn said.
Rather than relying on costly consultants, she used AI to challenge and validate her ideas.
“When I was trying to figure out if my idea was actually viable, I used AI almost like my C-suite focus group — I said, here’s my framework, assume the role of a CIO, a CFO, a CTO, and tell me the holes in my idea, what are the gaps,” she explained.
The approach significantly lowered the barriers to entrepreneurship.
“If I had to hire people for the creative strategy and branding, I wouldn’t have had the resources for that. So I probably would still be at Microsoft,” Ginn added.
Keeping Humans at the Core
While AI capabilities continue to advance, business leaders stress that successful adoption depends on strategic use of the technology.
Kourosh Bozorg, Co-Founder and CEO of Next Figures, uses AI extensively behind the scenes while keeping client-facing creative work human-led.
“You have to use it exactly in the back end rather than the front end. At the end, it’s you that has to design it. I don’t think AI should design it and you just send it to clients — it needs your touch, at least a complete recomposition from what AI is giving you,” Bozorg said.
The efficiency gains, however, have been substantial.
“Two years ago, it took maybe four to five months to generate all of these photos — around 300. Now, I’m just writing one word in ChatGPT, and it’s giving me the exact one,” he shared.
For clients uncertain about AI, Bozorg favors results over explanations.
“The best approach is not to explain too much, because when you want to defend yourself and explain, it works against you. We show what we’re capable of, and we tell them that it’s impossible to get this quality, this way of thinking with AI — because it always gives you the same generic answer,” he added.
The Importance of Workflow
Santiago Marin, SaaS Partnerships & Partner Success Leader at Wix, argues that successful AI adoption begins with strong operational foundations.
“The most successful agencies are the ones that aren’t thinking about AI when implementing AI — the ones who have a clear pathway and a clear workflow, and then see the friction within that specific workflow and say, we need some oil between these two steps, and that oil is AI,” Marin said.
He warns that poor processes can become bigger problems when amplified by technology.
“AI is very good at escalating everything — it is very good at escalating chaos. So if your workflow is chaotic, that chaos gets expanded,” he explained.
Looking ahead, Marin believes orchestration will define the next phase of adoption.
“The challenge, the main thing right now, is finding the correct way to orchestrate — having an agent that is able to manage all the different AI instances in the right way. That’s the key for business performance, honestly,” he added.
Building With Teams of One
Perhaps the most striking example comes from Brandon Bibbins, Founder and CEO of Daylogue, who built an AI-powered journaling platform with a team of one.
“I built a 50-person agent team using AI — a full-stack developer, a security engineer, a graphic designer, a marketing strategist. And it felt like I was running my own company full of AI agents,” Bibbins said.
The speed and cost advantages were significant.
“I was able to code over a million lines of code in the span of six weeks. If you go and do an audit, it said that handing this off to the team would have cost $2.5 million over a span of 12 to 15 months. It 10x’d my productivity,” he shared.
Beyond productivity, Bibbins sees AI as a tool for turning fragmented information into actionable insight.
“I don’t think it’s so much that small businesses lack information. The problem is more that the information is so scattered and no one has time to make sense of all of it. That’s where AI becomes powerful — it can gain insights from so many different platforms,” he added.
AI is not merely helping SMBs across sectors work faster; it is enabling them to attempt projects, launch businesses, and manage operations that previously required far greater resources. As adoption deepens, the competitive advantage may no longer belong to the biggest companies, but to the organizations that learn to treat AI as a core business partner.
