Misconceptions about artificial intelligence (AI) are stopping small- to medium-sized businesses (SMBs) from realizing AI’s full revenue potential. Business owners are rushing to adopt AI, but they’re treating it primarily as a time-saving tool.
AI adoption amongst SMBs continues to grow. This yr, 66% of small businesses experienced revenue increases from AI, and 82% of SMBs are already using some AI tools.
The issue is that many house owners underutilize AI or use it too sparingly, missing out on major revenue opportunities. Many SMBs remain caught between using AI to draft emails 10% faster and using it to completely re-engineer their sales pipelines.
Joe Gagnon, CEO of the autonomous, AI-native sales platform Raynmaker, argues that the most important misconception about AI is treating it primarily as a time-saving tool somewhat than a driver of revenue growth. Efficiency gains are useful, but there is simply a lot time a business can save.
“For many SMBs, growth happens in the client conversation. It happens when a lead calls, asks an issue, fills out a form, responds to a suggestion, or shows buying intent. That’s where AI can have a profound impact,” he told the E-Commerce Times.
Questioning AI Adoption Claims
Gagnon disagreed with the report’s finding of such high adoption rates. He questioned that level of adoption in any sector, let alone the SMB sector.
“That notwithstanding, the SMBs who’ve adopted AI have done so using it as a tool. They’ve not yet adopted AI as a business capability,” he said.
He distinguishes between using AI to put in writing emails, summarize meetings, or draft content and deploying it to capture demand, engage customers, and increase revenue.
Most SMBs are still using AI at the sides of their businesses. “They’re experimenting with it in administrative workflows, but they will not be yet putting it where the business consequence is created,” he said.
Gagnon contends that many business owners haven’t connected AI on to revenue moments. They use AI to make work easier somewhat than to make the business more responsive, more available, and higher at converting leads into customers.
He agrees that AI can save time. Nevertheless, the larger opportunity is to make use of that point to capture missed revenue. By specializing in how AI can save five hours every week, SMB owners miss the larger point: how much business are they losing from not responding to each prospect with speed, intelligence, and consistency?
“Used properly, AI is greater than a time saver. It’s a revenue creation engine,” he said.
Tactical Shift: From Admin to Conversion
In accordance with Gagnon, business owners must change their mindsets by starting with the business consequence somewhat than the tool. Meaning not asking “Where can I exploit AI?” but searching for “Where am I losing opportunity?”
Most owners can answer that in 30 seconds, he noted, citing after-hours leads, slow follow-up, prospects that no one qualified, and the high-intent buyer who got the identical generic experience as everyone else.
“When you name where opportunity is leaking, AI stops being an experiment and becomes obvious,” he said.
One other strategy is to maneuver AI from back-office tasks into the client journey, where it may possibly engage prospects, answer questions, qualify leads, and improve conversions. That’s how an SMB moves from fiddling with AI to growing with it, he advised.
“An e-commerce brand leaves money on the table when AI is used only to put in writing product descriptions or summarize customer reviews, but not to have interaction buyers who’re actively showing intent,” Gagnon explained.
Learn to Spot Missed Opportunities
Gagnon offered an example during which a customer visits a product page, compares two items, adds one to the cart, hesitates, and leaves.
He suggested that a standard efficiency-focused use of AI might help the business write higher copy or generate a follow-up email. Those improvements help, but they don’t address the buying moment itself.
“A growth-focused use of AI would discover the intent signal, engage the client in real time or near real time, answer the precise query that could be blocking the acquisition, recommend the proper product, offer reassurance, and move the client toward conversion,” he added.
If AI is simply helping the team work faster internally, the brand misses the moment when the client is able to buy but needs yet one more interaction. That’s missed revenue.
Measure AI by Business Results
Gagnon maintained that hours saved will not be crucial measurement. SMB leaders should measure AI by its impact on business performance. Meaning metrics akin to lead response time, conversion rate, booked appointments, qualified leads, revenue per lead, customer satisfaction, average order value, repeat purchase rate, and the share of inquiries successfully handled.
SMBs must also measure how consistently AI engages potential customers. Consider what number of leads are engaged that previously would have been missed. What number of after-hours inquiries at the moment are being handled? Also, review what number of customer questions staff answered immediately somewhat than waiting for somebody to develop into available.
Probably the most meaningful ROI measure goes beyond hours saved. It’s how much opportunity AI helped the business capture. “That may be a significantly better metric for SMBs, because most small businesses will not be attempting to develop into barely more efficient. They are attempting to grow,” he said.
Enhance the Customer Experience
Gagnon cautioned against using AI to prioritize lead conversion on the expense of the client experience. The goal will not be to offer customers a robotic experience or sacrifice the private touch.
The bottom line is designing AI around trust somewhat than transactions. AI shouldn’t feel like a script. It should feel like a helpful extension of the brand. Meaning communicating with clarity, relevance, and respect for the client’s intent. Customers generally accept AI when it solves problems quickly and accurately. They’re offended by bad experiences.
Gagnon warned about not providing generic answers, confusing loops, manipulative tactics, or interactions that feel disconnected from what customers are attempting to perform.
“To drive conversion without losing trust, SMBs need AI that understands the brand voice, knows the services or products, recognizes customer intent, answers accurately, and knows when to escalate to a human,” he said. “Aggressive conversion doesn’t should mean aggressive selling.”
The higher approach is to make use of AI to guide customers intelligently throughout the buying process. Help the client make a confident decision. Remove friction. Answer the true query. Make the following step obvious.