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From intelligent workflows to AI orchestration, small and medium-sized businesses are using artificial intelligence to expand capabilities, accelerate growth, and compete with larger rivals.
As AI tools become more sophisticated and accessible, small and medium-sized businesses (SMBs) are discovering that these technologies do far more than automate mundane tasks. These tools are expanding the possibilities of what an organization can achieve with a lean team. From managing complex, multi-step workflows to orchestrating multiple AI models in tandem, SMBs are leveraging artificial intelligence to accomplish work that once remained possible only for larger organizations.
Moving Beyond Basic Automation
For many SMBs, traditional automation tools have delivered incremental improvements. However, according to Tony Adams, Founder and CEO of Truvisory, businesses eventually reach an automation ceiling where conventional platforms can no longer keep pace with increasingly complex processes.
Truvisory develops custom AI automations that connect disparate software systems, eliminating the manual data entry that consumes employee time and limits productivity. Adams says AI has also dramatically accelerated software development, allowing teams to ship products three to four times faster. At the same time, he cautions against “vibe coding,” that is, generating code without sufficient planning or context.
AI is also changing the way businesses interact with customers from the very beginning of the sales cycle.
Adams stated: “Even from the very onset of when a business submits a proposal for something, AI is helping them basically put their best foot forward, putting a nice-looking proposal together. From that to performing some of the work, maybe not having to hire as many team members, and because of that, potentially being able to submit bids that might be under competitors.”
Beyond improving proposals and workflows, Adams believes AI reduces the mental burden placed on employees.
“When you can hand those kinds of workloads off to AI, you’ve got more brain power left to focus on other things, even more intensely. You’ve got better performance, because now you’ve got sort of a way to delegate off your plate things that were going to be a cognitive load for you.”
The company is also developing voice AI agents capable of independently managing customer interactions.
“We’re actually building voice AI agents that answer the phone, talk to the client, can schedule appointments in their calendar, text message reminders. And if they get stuck on something, they can even message an employee, ask them for the answer, and then continue the conversation.”
Coordinating AI Instead of Relying on One Model
While many businesses are experimenting with AI agents, Julius McGee, Founder of Morchea, argues that depending on a single model often creates unnecessary limitations. After losing entire codebases overnight and rebuilding the same project four separate times, he developed a different approach.
Rather than assigning all responsibility to a single AI model, Morchea uses an orchestration system in which a “maestro” large language model creates a detailed plan and then delegates specialized tasks to the most appropriate AI models. The platform also includes permanent, non-deletable memory, preventing AI from repeatedly starting from scratch and helping SMB owners execute sophisticated development and marketing projects without assembling large technical teams.
McGee is clear that specialization matters.
“This is not agentic AI. It’s basically just one model wearing 10 hats telling me he’s the janitor, he’s the cook. I’m like, dude, take off the costume.”
McGee says the platform was designed to reduce the burden of manually coordinating multiple AI systems.
“Morkea was basically built because I needed to not do so much orchestration myself. Instead of having one platform with agents, I treated LLMs as agents. They come to the table with all their superpowers, everything they could do in their own environment. But now within my world, they actually get to be friends and they get to talk.”
Cost efficiency remains equally important for SMBs adopting AI technologies.
“I’m very conscious of money because I don’t have millions of dollars to throw at these models. I need them to do exactly what they need to do. And I need to have some truth; I need to be able to see it.”
Agility Gives SMBs an Edge
For Yaron Hadad, Founder and CEO of Beehive Software, the greatest advantage smaller businesses possess is speed. Unlike large enterprises that must navigate multiple layers of approvals, compliance requirements, and entrenched processes, SMBs can introduce AI into daily operations with considerably less friction.
Beehive Software begins every engagement with an audit to identify the highest-return opportunities, then guides clients toward targeted implementation. This approach has delivered measurable results. A psychotherapy institute reduced an eight-hour session annotation process to just ten minutes, while real estate agents saved three to four hours per property by automating disclosure analysis. In each case, AI enhances employee productivity rather than replacing human expertise.
Hadad believes organizational flexibility is a decisive advantage.
“Bigger companies have much more established processes, and changing those processes is a very painful situation. Smaller companies typically don’t have those problems. So taking an internal process, automating a workflow, leveraging AI to do so; you can do it much faster than a bigger company.”
Hadad encourages businesses to focus on repetitive, high-volume work where AI can deliver immediate value.
“When we’re looking at AI, we’re looking at high-volume tasks, things that happen a lot. This is where it’s really starting to shift and change. When done right, you can get benefits that sometimes even bigger companies are not leveraging today.”
For Hadad, AI is changing the competitive landscape for smaller firms.
“Historically, SMBs had a really big disadvantage in terms of capital and being able to hire enough manpower to really take care of different types of tasks. AI is really starting to shift and change that. The companies that move fast on this will have a real edge.”
Adaptability Is Becoming the Competitive Advantage
The businesses leading the charge on AI adoption are not necessarily the biggest or the best funded; they are the most adaptable. As AI tools continue to grow more capable and accessible, SMBs that invest in thoughtful implementation stand to gain far more than operational efficiency. They are expanding what small teams can accomplish, improving decision-making, and competing more effectively in markets once dominated by larger organizations. The question is no longer whether AI can help small businesses; it is how quickly they are willing to move.
