Laboro: How they scaled sales and operations with applied AI
They responded to prospects faster, converted more leads into sales and gained time to focus on scaling.
The challenge
Laboro joined the Scale Your Company with AI program as a leader in home improvement services in Mexico. As an official partner of IKEA and Madesa, its team had more than 30 field technicians and served hundreds of customers every month.
Rapid growth started to put pressure on operations. The main challenge was to stay efficient as demand grew, without compromising service quality. There was also a clear opportunity: responding to prospects faster could improve sales, conversion, close rates and customer retention.
Daniel Ricchiuti CEO, Laboro The sales processes were already digital, but growth had pushed the team to its operational limit. Demand outgrew the current team’s capacity, which made it clear that the way they worked had to change if they wanted to keep growing without adding workload or complexity.
The solution
During the program, Laboro went from operating at full capacity to having strategic clarity on how to scale. Through a tailored approach, AI was brought into each subprocess that had a bottleneck. The work combined a diagnosis, custom initiatives, a careful selection of tools and one-on-one follow-up with experts. That allowed the company to handle more demand without adding people or operational complexity.
Strategic rollout
The priority wasn’t to adopt new tools. It was to build AI into the processes that already worked:
- AI customer service agents
- Automated processes across existing platforms
- A smart quoting tool that generates estimates automatically
- Improvements to the current technology stack
Daniel Ricchiuti CEO, Laboro Instead of starting from scratch, the team improved its existing stack and added new tools that fit the way it worked. Within a few weeks, the changes started to show tangible results.
Results: 66% higher sales conversion
Lead-to-sale conversion rose 66%, and job assignment time dropped from 72 to 2.3 hours, with the same team.
Daniel Ricchiuti CEO, Laboro A new operating standard
The way Laboro works changed significantly. AI stopped being an occasional aid and became the backbone that connects information, people and decisions.
Today, the team answers questions in seconds, gets unified data without searching across multiple platforms and responds to customers in real time. Processes run with more clarity, speed and consistency, which makes operations more organized and predictable.
Ongoing benefits
- More organized, agile operations
- More focus on creating value for the customer
- Teams equipped with smart tools
- Decisions based on unified data
- Sustainable, scalable growth
Next steps
With what it has learned, Laboro is moving into a new stage of innovation. The focus is on further automating key processes, adding advanced AI analytics and building digital experiences that help its customers make better decisions earlier in their projects.
Lessons for B2B companies
The Laboro case shows that putting artificial intelligence to practical use doesn’t require large investments. With a clear strategy and expert support, companies can identify bottlenecks, build AI on top of their existing stack and see visible results in less than three months.
