When you started your landscape business, chances are you didn’t create it because you loved working on spreadsheets at 9 p.m. It’s because you wanted to be outdoors, running equipment and creating beautiful spaces for customers while providing for your family and your employees’ families.
Yet night after night you’re still creating estimates and responding to emails long after crews have left. You’re stuck building work schedules hours before staff shows up for work. You’ve become the backend of the business because everything lives in your head.
However, now AI exists and allows everything that has been limited to one person’s memory and judgment to become something the whole company can draw on and the business can run without you standing in the middle of it.
“AI is the first tool I’ve seen that pulls the other way – it takes the estimate draft, the follow-up, the schedule, the endless questions, and hands the time back,” says Mike Lysecki, the CEO of LeanScaper. “And not just for the owner; it frees everyone on the team from the repetitive work so they can focus on what only humans do well – the design that wins the job, the conversation that saves an account.”
Lysecki says this is the true benefit of incorporating AI into your landscape business. Not as a way to eliminate employees but to give owners their lives back.
“I know of an owner who built his systems to the point that he took five weeks off while seventy-five people ran the company without him – and it ran well,” Lysecki says. “That’s the future I want contractors to picture when they hear ‘AI.’ Not machines replacing people, but a company that can finally run without its owner chained to it, so the owner can be a spouse, a parent, a person again – having built something that provides for everyone who leans on it. The efficiency is just the mechanism. The life is the point.”
Where AI Should be Used
Lysecki recommends owners examine their back office first when it comes to utilizing AI to increase efficiency.
“Start with your numbers,” Lysecki says. “AI can take a stack of financial and job-costing reports and turn it into plain answers in seconds – which jobs actually made money, where a crew ran over, which service line is quietly carrying the company and which one is bleeding. The truth you need is already sitting in your data; you’ve just never had the hours to dig it out.”
Lysecki says once you have clear information, then you can start steering toward the work that’s genuinely worth doing.
Another area he recommends utilizing AI is to assist with customer follow-ups.
“In a trade where so much lost work traces back to a quote that went out three days late, that alone moves the needle,” Lysecki says.
One overlooked area he feels not enough companies are taking advantage of is the knowledge capture ability of AI.
“In most landscape companies, the details that make a job run live entirely in people’s heads: the site quirks, the client’s preferences, the reason you never park on that side of the driveway,” Lysecki says. “When those people are out sick or they retire, that knowledge walks out the door with them. We’ve all felt it – a thirty-year veteran leaves and the whole company seems to get a concussion.”
He says when owners, veteran foremen and department heads pour their knowledge into AI, it can serve as a central brain for the company by creating SOPs, daily tasks and checklists and answering questions for other employees.
“Right now, your best crew leaders spend much of their day as a human search engine, answering the same eighty or ninety percent of questions over and over – ‘Where does this go in the shop?’ ‘What color stone on this job?’” Lysecki says. “Offload those and you clone your best people’s knowledge without cloning the demand on their time.”
Crew members can also add to this knowledge base by sharing with AI what they found on site, what changed and what the customer said. The difference that allows it to be captured now is that in the past an employee would have to stop what they were doing, pull out their phone and type a message.
“People in the field will never reliably do that,” Lysecki says. “But they’ll talk. When the crews gather at the shop morning and evening, they’re already talking through the job. Now they can just speak, and AI captures and organizes it. You’re not asking people to change their behavior. You’re capturing the behavior they already have.”
Additionally, crews can ask questions in Spanish or English and receive answers in the same language, ensuring your entire workforce has access to the same knowledge base.
Making AI Part of Daily Processes
For some companies, AI is still a novelty that only some of their staff dabble in, and other operations continue to hold it at arm’s length with skepticism and distrust. Yet if you want to reach the point AI is embedded in your processes, you have to create a champion.
This individual runs experiments, plays with the tools, and genuinely wants a better way to do the work. While this champion is typically an operations person who came up through field, Lysecki expects those who are fluent in systems, processes, and technology will be the ones who are the most successful over the next decade.
Once your champion has identified wins, they can’t stay trapped on that one person’s laptop. AI needs to become embedded in your daily and weekly processes.
“There’s a real balance here: you have to insist on adoption, then let people discover the payoff for themselves,” Lysecki says. “Both halves matter. Start with the change management, because you can’t skip it – people need to hear why the company is doing this and where it’s headed, and they need actual teaching, because many of your employees have never really used AI at all.”
As employees begin to discover genuinely useful answers after using AI, their resistance will begin to melt. Yet Lysecki says there will be some who will still be afraid of the change. With these employees, you’ll need to insist on their adoption with encouragement, support and patience.
“If you treat it as optional, the most change-averse people in the building will quietly decide it for you,” Lysecki says. “The technology is the easy part. The leadership is what makes it stick.”
Lysecki adds that you also don’t need to have a fully finished AI strategy before starting.
“That expectation is what freezes most companies into doing nothing,” Lysecki says. “Roll out one piece, let it pay off, and reinvest the time it frees into the next. It compounds like interest – each bit of time saved funds a deeper experiment that saves more. Start that flywheel and a competitor who waited for the perfect plan can’t easily catch you. But the reason to start isn’t to beat them. It’s that every turn of that wheel hands a little more time back to you and your people.”
