How adopting artificial intelligence allows companies to reduce their costs by more than 40%: it helps optimize processes and innovate

Artificial intelligence (AI) has ceased to be a technology exclusive to large corporations and has become an accessible tool that boosts efficiency and opens up new sources of revenue.

In today's market, companies seeking greater profitability no longer rely solely on large investments in infrastructure, but on the ability to integrate digital solutions that accelerate processes, reduce costs, and facilitate innovation.

JumpCube , a US-based company specializing in enterprise AI, maintains that change begins when organizations focus on optimizing their operations through a scalable, progressive adoption model.

Its AI BPO platform was designed with a modular architecture that addresses three key areas: process automation, improved customer experience, and optimized data-driven decisions . With this strategy, more than 75% of use cases are resolved from a single environment, without the need for radical transformations from the outset.

Technical support relies on low-code development and parametric solutions that reduce risk, accelerate implementation, and facilitate scalability without increasing costs proportionally.

As Mauricio Lince, co-founder and CEO of JumpCube, noted, "The secret is that companies can start small and grow quickly. We reduce risk, accelerate time-to-value, and offer progressive scalability that optimizes every peso invested."

The results reported by companies support the model's effectiveness. JumpCube clients are already reporting savings of over 40% in process automation, with cases reaching up to 50% thanks to the elimination of repetitive tasks and the reallocation of talent to strategic functions.

In the area of ​​customer service, constant availability and personalized responses have reduced response times by 60% , which not only improves user perception but also increases the responsiveness of internal teams.

In the area of ​​data analytics, the integration of proprietary information enables the creation of predictive models that anticipate demand, optimize inventory management, and identify market opportunities ahead of the competition . The combination of these factors generates returns on investment in less than six months in most cases, with scalable growth that multiplies results without a proportional increase in operating expenses.

An example of this approach is Altipal, a distributor and marketer of consumer products in Colombia, which transformed its customer service operations in just 12 weeks. Together with JumpCube, the company implemented a generative AI-based virtual assistant that operates on WhatsApp, Instagram, and the website, capable of seamless handoff to human agents.

The solution was integrated with Salesforce for customer and order management and Dynamics for the ERP , incorporating custom-designed routing flows and training programs for the team. Results included a 100% reduction in case creation time thanks to self-service, a 20% reduction in agent workload, 30% of queries resolved directly by AI, and over 80% accuracy in natural language understanding.

These achievements translate into more agile service, more satisfied customers, and a clear competitive advantage. From this and similar cases, JumpCube identifies key learnings: the integration of AI and human agents into a collaborative model, the deployment of omnichannel assistants that span multiple platforms, the natural connection with management systems such as CRM and ERP, and the development of teams that thrive on technology. Progress is based on three pillars: modular architecture, a low-code approach, and leveraging proprietary data —factors that reduce the opportunity cost of digital transformation processes.

The scope of artificial intelligence applied to businesses is not limited to customer service. In logistics and supply chains, the technology improves risk prediction and inventory management ; in human resources, it accelerates the identification of suitable candidates for each profile; and in operations, it ensures continuous availability with timely and tailored responses.

For small and medium-sized businesses, as well as entrepreneurs, this represents the opportunity to compete on a more level playing field with large-scale corporations , starting with critical modules and scaling up as demand requires.

The conclusion JumpCube underlines is straightforward: artificial intelligence is not a future expectation, but the engine that drives business profitability and competitiveness today. With solutions designed to adapt to different sizes and needs, companies have the option of taking the first step toward a more efficient, innovative, and sustainable model.

*This content was rewritten with the assistance of artificial intelligence, based on a report from Shoplanders.