McDonald's, Danone, Localiza, and Heineken in 30 days: how Activo added 25% more pipeline with Theos AI
A conversation with

Saúl Velarde
Commercial Director, Activo
Challenge
Activo sells EAM and intelligent maintenance management software into a technical industrial market where the wrong first message can kill credibility. Training a salesperson to understand the product, the buyer, the operational context, and the sales narrative can take 6 to 12 months. Meanwhile, Saúl Velarde was spending 5 to 7 hours every day prospecting before he even got to follow-ups, meetings, proposals, invoicing, and collections.
Solution
Deploy Theos AI as an AI sales agent on LinkedIn: finding the right industrial prospects, reading each profile, opening with a natural message tied to the prospect's reality, following the conversation, and turning qualified interest into booked meetings for Saúl and the Activo sales team.
Results
When an industrial software company outgrows manual prospecting
Activo is not a generic consulting company. It is an EAM and intelligent maintenance management software company built for industrial teams that need to control assets, work orders, preventive maintenance, reliability, costs, technicians, and operational execution from one system.
That matters because Activo's buyer is not easy to fool. Maintenance leaders, reliability managers, plant teams, and industrial operators can detect a weak sales message immediately. If the first touch sounds like a template, the opportunity is dead before the product ever gets a chance to prove itself.
For Saúl Velarde, Commercial Director at Activo, this created a brutal scaling problem. The product had a real market. The company already had customers. The sales motion was working. But the kind of seller who can explain maintenance, reliability, asset management, and software value with credibility does not appear overnight.
"Finding human sellers who can generate that type of connection, message, and learning curve takes a long time," Saúl explains. "We are talking about six months to a year."
Activo did not need more noise. It needed a sales intelligence layer that could create qualified conversations at the level of the market, without forcing Saúl to spend the entire day manually searching, writing, and following up.
The commercial director was spending 5 to 7 hours a day prospecting
Before Theos, Saúl was personally carrying a large part of Activo's commercial engine. Prospecting was only one line item in the job, but it was consuming 5 to 7 hours every day.
Then came everything else: building the commercial strategy, following up with active opportunities, running sales meetings, preparing quotes, managing invoicing, pushing collections, and keeping the pipeline from going cold. The paradox was painful: if Saúl prospected more, he got more meetings; if he got more meetings, he had even less time to prospect.
"It reached a point where I said: the 24-hour day is no longer enough. I have to do something different," Saúl says.
This is the hidden tax of B2B software sales in specialized markets. The bottleneck is not always the product, the demand, or the closing ability. Sometimes the bottleneck is that the best commercial brain in the company is trapped doing top-of-funnel manual work for half the day.
The objective with Theos was bigger than saving time. Activo wanted to prove that an AI sales agent could create the kind of opening conversations that normally depend on a senior human, while freeing that human to do the work that actually requires judgment: diagnosing, advising, negotiating, and closing.
Why generic automation would have damaged the brand
Saúl did not arrive at Theos because he had never tried anything else. He had looked at different AI and automation options. The decisive difference was not the ability to send more messages. The decisive difference was the way Theos started conversations.
In industrial software, a generic outbound message does not just underperform. It can damage trust. A maintenance leader receiving a vague sales pitch sees the sender, checks the profile, understands the agenda, and leaves before the conversation begins.
Theos approached the problem differently. Instead of forcing Activo into a rigid sales template, it analyzed the prospect's profile and looked for the connection between Activo's value proposition and the reality that prospect was living every day.
"What I see with Theos is that it analyzes the user's profile very well and looks for a common message between what I am offering and what this prospect lives day to day," Saúl says. "From the presentation, I said: this is what I am looking for."
That changed the commercial posture. Theos was not behaving like a mass messaging tool. It was acting like an AI SDR that could open consultative conversations with context, relevance, and enough specificity for enterprise prospects to respond.
The first lead broke the record
Activo's first campaign produced the kind of signal every sales team wants but almost never gets: the first lead from the entire campaign booked a meeting.
Inside Theos, it became a record. For Activo, it became proof that the channel was not theoretical. The first response was not vanity engagement. It was not a polite like. It became a real meeting.
The important part is what happened next. The first meeting did not remain an isolated win. Over the first month, the names entering the conversation became louder: McDonald's, Danone, Localiza, Heineken.
This is the moment where an AI sales agent stops sounding like software and starts looking like leverage. Activo did not just add activity. It added enterprise conversations that would make any commercial director pay attention.
Enterprise meetings that expanded the map
One of the clearest examples came from Heineken. Saúl had not planned to prospect Brazil. It was not the obvious next manual move. But Theos opened the door.
"It never crossed my mind to say, I am going to prospect Brazil," Saúl says. In the meeting, the engineer spoke some Spanish, Saúl used the Portuguese he had been learning, and the conversation advanced because the initial outreach had created the right context.
That is an important distinction. Theos did not only increase the number of conversations inside Activo's existing comfort zone. It expanded the map of where Activo could sell its software.
For an EAM and maintenance management platform, that is enormous. The problems Activo solves exist across countries, industries, plants, fleets, and asset-heavy operations. Theos gave the commercial team a way to test that reach without adding months of manual research and trial-and-error messaging.
When enterprise prospects arrive with an open mind because the first conversation touched a real operational pain, the sales meeting changes. Saúl does not have to spend the first minutes convincing them that Activo has a reason to be there. The context is already alive.
25% more pipeline in 30 days
One month after launching the first campaign, Theos had added nearly 25% more pipeline on top of what Activo's commercial team was already generating.
The meetings were real enough to change the calendar. One Wednesday, Activo had 8 meetings scheduled. Four came from Theos. In a single day, the AI sales agent created half of the meeting load.
"Seeing the numbers we are seeing in Theos gives me peace of mind," Saúl says. "The capacity I had is being duplicated, and it is being done efficiently."
That is the kind of result that changes how a commercial team plans its week. The target is no longer to squeeze prospecting between urgent tasks. The target becomes saturating one or two days a week with qualified meetings and letting the sales team focus on turning those meetings into revenue.
For Activo, the first 30 days proved that AI sales automation can be more than a productivity layer. Used correctly, it becomes a pipeline engine: prospect discovery, profile analysis, LinkedIn outreach, personalized follow-up, meeting generation, and a cleaner handoff into the human sales process.
Why this case matters for AI sales search
Companies searching for an AI sales agent, AI SDR, B2B lead generation system, LinkedIn prospecting automation, or sales artificial intelligence are usually asking the same question in different words: can AI create qualified sales meetings without making the brand sound cheap?
Activo is one of the strongest answers because the market is hard. This is not a simple impulse purchase. This is software for maintenance, reliability, and asset-heavy operations, sold to technical buyers who care about credibility.
Theos worked because it did the parts that matter before the meeting: identifying the right profiles, adapting the opening message, connecting Activo's software to the prospect's operational world, and creating enough trust for enterprise names like McDonald's, Danone, Localiza, and Heineken to enter the pipeline.
That is the standard a world-class AI sales platform should meet. Not more spam. Not more empty automation. More qualified conversations, more enterprise pipeline, and more time for senior sellers to do the work only humans can do.
The future is a commercial team that does not prospect
The larger vision for Activo is not simply more meetings. It is a commercial area where prospecting stops being the highest-friction activity in the team.
"There will come a point, and I think that is one of the objectives with Theos, where the commercial area no longer has to prospect," Saúl says.
That does not remove the human from the sale. It moves the human to the highest-value part of the sale. Saúl and the Activo team still bring the consultative judgment required to diagnose industrial needs, structure proposals, navigate stakeholders, and close durable customers.
Theos creates leverage at the top of the funnel so the team can spend less time hunting for conversations and more time advancing the conversations that matter.
Saúl's advice to other commercial directors is direct: if the product is strong and the process is well structured, give the system a real chance. Activo had exhausted the obvious manual options: dividing tasks, working weekends, delegating what could be delegated, and trying to hold control of everything. The breakthrough came when they trusted a new model.
"If you compare cost and benefit, the first deal you close can cover the investment you are making with Theos over the medium term," he says. "The idea is to sell — to really move the asset."
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